Tutorial 51: Manual Creation of Element Dataframes

This Example demonstrates the capabilities of the class Dataframes_SIR3S_Model that extends SIR3S_Model be abilities to work directley with pandas dataframes. It is shown how to create dataframes containing information about elements such as Nodes, Pipes, etc. existing in a SIR 3S Model. The methods presented are manual, user-defined and detailed. For creating more general dataframes with less input necessary, see Tutorial 52.

Toolkit Release

[1]:

#pip install

Imports

SIR 3S Toolkit

Regular Import/Init

[2]:

SIR3S_SIRGRAF_DIR = r"C:\3S\SIR 3S\SirGraf-90-15-00-20x64_Quebec-Upd1" #change to local path

[3]:

from sir3stoolkit.core import wrapper

[4]:

wrapper

[4]:

<module 'sir3stoolkit.core.wrapper' from 'C:\\Users\\aUsername\\3S\\sir3stoolkit\\src\\sir3stoolkit\\core\\wrapper.py'>

[5]:

wrapper.Initialize_Toolkit(SIR3S_SIRGRAF_DIR)

Additional Import/Init for Dataframes class

[6]:

from sir3stoolkit.mantle.dataframes import SIR3S_Model_Dataframes

[7]:

s3s = SIR3S_Model_Dataframes()

Initialization complete

Additional

[8]:

import pandas as pd
from shapely.geometry import Point
import re
import folium
from folium.plugins import HeatMap
import numpy as np
import geopandas as gpd
from shapely import wkt
import matplotlib.pyplot as plt
import contextily as cx

Open Model

[9]:

s3s.OpenModel(dbName=r"C:\Users\aUsername\3S\PT3S\PT3S\Examples\Example3.db3",
              providerType=s3s.ProviderTypes.SQLite,
              Mid="M-1-0-1",
              saveCurrentlyOpenModel=False,
              namedInstance="",
              userID="",
              password="")

Model is open for further operation

Manual Dataframe creation

model_data - Nodes

We can use the generate_element_model_data_dataframe() method to obtain a dataframe for all instances of a specifc component type (Nodes, Pipes, etc.) with user defined model_data properties (all non-result data related to a component) to be added. For this example we will use nodes.

In this case we are interested in Nodes, let’s check what model_data properties are available for this element.

[10]:

s3s.GetPropertiesofElementType(s3s.ObjectTypes.Node)

[10]:

['Name',
 'Ktyp',
 'Zkor',
 'QmEin',
 'Lfakt',
 'Fkpzon',
 'Fkfstf',
 'Fkutmp',
 'Fkfqps',
 'Fkcont',
 'Fk2lknot',
 'Beschreibung',
 'Idreferenz',
 'Iplanung',
 'Kvr',
 'Qakt',
 'Xkor',
 'Ykor',
 'NodeNamePosition',
 'ShowNodeName',
 'KvrKlartext',
 'NumberOfVERB',
 'HasBlockConnection',
 'Tk',
 'Pk',
 'InVariant',
 'GeometriesDiffer',
 'SymbolFactor',
 'bz.Drakonz',
 'bz.Fk',
 'bz.Fkpvar',
 'bz.Fkqvar',
 'bz.Fklfkt',
 'bz.PhEin',
 'bz.Tm',
 'bz.Te',
 'bz.PhMin']

In the below subcases differnt choices of parameters for creating the model_data dataframe manually are shown. Note that not all possible combination of paramters are shown here.

Subcase 1: Minimal

Let’s say for now we only want a dataframe with all node tks without any related data.

[11]:

(s3s.generate_element_model_data_dataframe(element_type=s3s.ObjectTypes.Node
                                        ,properties=[]
                                        )).head(3)

[2026-01-09 17:02:42,938] INFO in sir3stoolkit.mantle.dataframes: [model_data] Generating model_data dataframe for element type: ObjectTypes.Node
[2026-01-09 17:02:42,949] INFO in sir3stoolkit.mantle.dataframes: [model_data] Retrieved 517 element(s) of element type ObjectTypes.Node.
[2026-01-09 17:02:42,972] INFO in sir3stoolkit.mantle.dataframes: [Resolving model_data Properties] Using 0 model_data properties.
[2026-01-09 17:02:42,972] INFO in sir3stoolkit.mantle.dataframes: [model_data] Retrieving ...
[2026-01-09 17:02:42,980] INFO in sir3stoolkit.mantle.dataframes: [model_data] Done. Shape: (517, 1)

[11]:
tk
0 5669301360686511351
1 5397948523091900401
2 5239335112004772156

Subcase 2: Specific Properties

Let’s say we now want the minimal dataframe extended with supply/return info (kvr) and height (Zkor) of the nodes.

[12]:

(s3s.generate_element_model_data_dataframe(element_type=s3s.ObjectTypes.Node
                                        ,properties=["Kvr", "Zkor"]
                                        )).head(3)

[2026-01-09 17:02:43,062] INFO in sir3stoolkit.mantle.dataframes: [model_data] Generating model_data dataframe for element type: ObjectTypes.Node
[2026-01-09 17:02:43,067] INFO in sir3stoolkit.mantle.dataframes: [model_data] Retrieved 517 element(s) of element type ObjectTypes.Node.
[2026-01-09 17:02:43,069] INFO in sir3stoolkit.mantle.dataframes: [Resolving model_data Properties] Using 2 model_data properties.
[2026-01-09 17:02:43,069] INFO in sir3stoolkit.mantle.dataframes: [model_data] Retrieving model_data properties ['Kvr', 'Zkor']...
[2026-01-09 17:02:43,289] INFO in sir3stoolkit.mantle.dataframes: [model_data] Done. Shape: (517, 3)

[12]:
tk Kvr Zkor
0 5669301360686511351 1 554.04
1 5397948523091900401 1 556.16
2 5239335112004772156 1 561.01

Subcase 3: Maximal

Let’s say now we want basically all available model_data (non-result data) related to nodes.

If geometry=True, the 2D Point geometry will be added for Nodes and it will be attempted to transform the DataFrame into a GeoDataFrame using the SRID (eg. EPSG: 25832) defined in the model. If no SRID is defined, the DataFrame will remain as a DataFrame, but the geometry column with be added nonetheless.

[13]:

(s3s.generate_element_model_data_dataframe(element_type=s3s.ObjectTypes.Node
                                        ,properties=None # Instead of an empty or filled list, we pass None to indicate we want all available properties
                                        ,geometry=True # geometry data has to be explicitly requested
                                        )).head(3)

[2026-01-09 17:02:43,346] INFO in sir3stoolkit.mantle.dataframes: [model_data] Generating model_data dataframe for element type: ObjectTypes.Node
[2026-01-09 17:02:43,350] INFO in sir3stoolkit.mantle.dataframes: [model_data] Retrieved 517 element(s) of element type ObjectTypes.Node.
[2026-01-09 17:02:43,355] INFO in sir3stoolkit.mantle.dataframes: [Resolving model_data Properties] No properties given → using ALL model_data properties for ObjectTypes.Node.
[2026-01-09 17:02:43,356] INFO in sir3stoolkit.mantle.dataframes: [Resolving model_data Properties] Using 37 model_data properties.
[2026-01-09 17:02:43,359] INFO in sir3stoolkit.mantle.dataframes: [model_data] Retrieving model_data properties ['Name', 'Ktyp', 'Zkor', 'QmEin', 'Lfakt', 'Fkpzon', 'Fkfstf', 'Fkutmp', 'Fkfqps', 'Fkcont', 'Fk2lknot', 'Beschreibung', 'Idreferenz', 'Iplanung', 'Kvr', 'Qakt', 'Xkor', 'Ykor', 'NodeNamePosition', 'ShowNodeName', 'KvrKlartext', 'NumberOfVERB', 'HasBlockConnection', 'Tk', 'Pk', 'InVariant', 'GeometriesDiffer', 'SymbolFactor', 'bz.Drakonz', 'bz.Fk', 'bz.Fkpvar', 'bz.Fkqvar', 'bz.Fklfkt', 'bz.PhEin', 'bz.Tm', 'bz.Te', 'bz.PhMin'], geometry...
[2026-01-09 17:02:45,704] INFO in sir3stoolkit.mantle.dataframes: [model_data] Transforming DataFrame to GeoDataFrame successful with EPSG: 25832
[2026-01-09 17:02:45,704] INFO in sir3stoolkit.mantle.dataframes: [model_data] Done. Shape: (517, 39)

[13]:
tk Name Ktyp Zkor QmEin Lfakt Fkpzon Fkfstf Fkutmp Fkfqps Fkcont Fk2lknot Beschreibung Idreferenz Iplanung Kvr Qakt Xkor Ykor NodeNamePosition ShowNodeName KvrKlartext NumberOfVERB HasBlockConnection Tk Pk InVariant GeometriesDiffer SymbolFactor bz.Drakonz bz.Fk bz.Fkpvar bz.Fkqvar bz.Fklfkt bz.PhEin bz.Tm bz.Te bz.PhMin geometry
0 5669301360686511351 V-K03S QKON 554.04 0 1 5520728169779652386 4798673252636751115 5591325053703727727 -1 5029128874972463118 5761544923588724980 Abzw. Am Sonnenbühl 3S3768E2953006F125B34916F6A1681667 1 1 0 713620.267807 5.578828e+06 1 False Vorlauf 0 False 5669301360686511351 5669301360686511351 False False 0.2 0 5669301360686511351 -1 -1 -1 0 0 0 0 POINT (713620.268 5578828.419)
1 5397948523091900401 V-K13S QKON 556.16 0 1 5520728169779652386 4798673252636751115 5591325053703727727 -1 5029128874972463118 4749864932928780363 Anfangsknoten generiert von SirDB 3SC30ED954AA2F1D59B1F92FFEBCCB7B5B 1 1 0 713602.294600 5.578860e+06 1 False Vorlauf 0 False 5397948523091900401 5397948523091900401 False False 0.2 0 5397948523091900401 -1 -1 -1 0 0 0 0 POINT (713602.295 5578860.106)
2 5239335112004772156 V-K23S QKON 561.01 0 1 5520728169779652386 4798673252636751115 5591325053703727727 -1 5029128874972463118 4899862460906451371 Anfangsknoten generiert von SirDB 3SC30ED954AA2F1D59B1F92FFEBCCB7B5B 1 1 0 713574.061627 5.578910e+06 1 False Vorlauf 0 False 5239335112004772156 5239335112004772156 False False 0.2 0 5239335112004772156 -1 -1 -1 0 0 0 0 POINT (713574.062 5578909.873)

Subcase 4: Filtering + Element Type Col

Let’s say we only want nodes inside a specific container and we also want to have an element type col adding “Node” to each row (useful when joining with other dataframes later).

[14]:

for container_id in (s3s.GetTksofElementType(s3s.ObjectTypes.ObjectContainerSymbol)):
    print(f"{container_id}: {s3s.GetValue(container_id, 'Name')[0]}")

5029128874972463118: M-1-0-1
5027846505677995694: Erzeugung
5172832702839270493: TS
5152808213068069018: Laststeuerung
5467315850619588583: Sekundärwerte
5320319133990336755: Netztrennung

[15]:

all_tks = s3s.GetTksofElementType(s3s.ObjectTypes.Node)

[16]:

good_tks = []

[17]:

for tk in all_tks:
    if s3s.GetValue(tk, "FkCont") == "5029128874972463118": # Main container
        if s3s.GetValue(tk, "Kvr")[0] == "1": # Supply/Vorlauf
            good_tks.append(tk)

[18]:

(s3s.generate_element_model_data_dataframe(element_type=s3s.ObjectTypes.Node
                                        ,properties=[]
                                        ,tks=good_tks
                                        ,geometry=True
                                        ,element_type_col=True
                                        )).head(3)

[2026-01-09 17:02:45,938] INFO in sir3stoolkit.mantle.dataframes: [model_data] Generating model_data dataframe for element type: ObjectTypes.Node
[2026-01-09 17:02:45,942] INFO in sir3stoolkit.mantle.dataframes: [model_data] Retrieved 517 element(s) of element type ObjectTypes.Node.
[2026-01-09 17:02:45,945] INFO in sir3stoolkit.mantle.dataframes: [Resolving model_data Properties] Using 0 model_data properties.
[2026-01-09 17:02:45,946] INFO in sir3stoolkit.mantle.dataframes: [model_data] Retrieving geometry...
[2026-01-09 17:02:46,134] INFO in sir3stoolkit.mantle.dataframes: [model_data] Transforming DataFrame to GeoDataFrame successful with EPSG: 25832
[2026-01-09 17:02:46,150] INFO in sir3stoolkit.mantle.dataframes: [model_data] Done. Shape: (517, 3)

[18]:
tk geometry element type
0 5669301360686511351 POINT (713620.268 5578828.419) Node
1 5397948523091900401 POINT (713602.295 5578860.106) Node
2 5239335112004772156 POINT (713574.062 5578909.873) Node

Result Data - Pipes

We can use the generate_element_model_data_dataframe() method to obtain a dataframe for all instances of a specifc component type (Nodes, Pipes, etc.) with user defined result values for certain timestamps to be added. For this example we will use pipes.

Let’s check what result properties are available for Pipes.

[19]:

s3s.GetResultProperties_from_elementType(elementType=s3s.ObjectTypes.Pipe
                                         ,onlySelectedVectors=False
                                         )

[19]:

['A',
 'ACALC',
 'CPI',
 'CPK',
 'DH',
 'DP',
 'DRAGRED',
 'DRAKONZ',
 'DSI',
 'DSK',
 'DTTR',
 'DWVERL',
 'DWVERLABS',
 'ETAAV',
 'FS',
 'HR',
 'HVEC',
 'IAKTIV',
 'IRTRENN',
 'JV',
 'JV2',
 'LAMBDA',
 'LECKEINAUS',
 'LECKMENGE',
 'LECKORT',
 'LINEPACK',
 'LINEPACKGEOM',
 'LINEPACKRATE',
 'MAINELEMENT',
 'MAV',
 'MI',
 'MK',
 'MKOND',
 'MMAX_INST',
 'MMIN_INST',
 'MVEC',
 'MVECMAX_INST',
 'MVECMIN_INST',
 'PAV',
 'PDAMPF',
 'PHR',
 'PHVEC',
 'PMAX',
 'PMIN',
 'PR',
 'PVEC',
 'PVECMAX_INST',
 'PVECMIN_INST',
 'QI2',
 'QK2',
 'QMAV',
 'QMI',
 'QMK',
 'QMMAX_INST',
 'QMMIN_INST',
 'QMVEC',
 'QSVB',
 'RHOAV',
 'RHOI',
 'RHOK',
 'RHOVEC',
 'SVEC',
 'TAV',
 'TI',
 'TK',
 'TTRVEC',
 'TVEC',
 'TVECMAX_INST',
 'TVECMIN_INST',
 'VAV',
 'VI',
 'VK',
 'VMAX_INST',
 'VMIN_INST',
 'VOLDA',
 'WALTERI',
 'WALTERK',
 'WVL',
 'ZAUS',
 'ZEIN',
 'ZHKNR',
 'ZVEC']

Let’s also check what simulation timestamps are available in the model.

[20]:

s3s.GetTimeStamps()[0] # list of simulation timestamps

[20]:

['2023-02-13 00:00:00.000 +01:00',
 '2023-02-13 01:00:00.000 +01:00',
 '2023-02-13 02:00:00.000 +01:00',
 '2023-02-13 03:00:00.000 +01:00',
 '2023-02-13 04:00:00.000 +01:00',
 '2023-02-13 05:00:00.000 +01:00',
 '2023-02-13 06:00:00.000 +01:00',
 '2023-02-13 07:00:00.000 +01:00',
 '2023-02-13 08:00:00.000 +01:00',
 '2023-02-13 09:00:00.000 +01:00',
 '2023-02-13 10:00:00.000 +01:00',
 '2023-02-13 11:00:00.000 +01:00',
 '2023-02-13 12:00:00.000 +01:00',
 '2023-02-13 13:00:00.000 +01:00',
 '2023-02-13 14:00:00.000 +01:00',
 '2023-02-13 15:00:00.000 +01:00',
 '2023-02-13 16:00:00.000 +01:00',
 '2023-02-13 17:00:00.000 +01:00',
 '2023-02-13 18:00:00.000 +01:00',
 '2023-02-13 19:00:00.000 +01:00',
 '2023-02-13 20:00:00.000 +01:00',
 '2023-02-13 21:00:00.000 +01:00',
 '2023-02-13 22:00:00.000 +01:00',
 '2023-02-13 23:00:00.000 +01:00',
 '2023-02-14 00:00:00.000 +01:00']

[21]:

s3s.GetTimeStamps()[1] # Static

[21]:

'2023-02-13 00:00:00.000 +01:00'

In the below subcases differnt choices of parameters for creating the result dataframe manually are shown. Note that not all possible combination of paramters are shown here.

Subcase 1: Static + All Result Values

[22]:

(s3s.generate_element_results_dataframe(element_type=s3s.ObjectTypes.Pipe
                                        ,properties=None # None => All available properties
                                        ,timestamps=[s3s.GetTimeStamps()[1]] # static
                                        )).head(3)

[2026-01-09 17:02:46,884] INFO in sir3stoolkit.mantle.dataframes: [results] Generating results dataframe for element type: ObjectTypes.Pipe
[2026-01-09 17:02:47,052] INFO in sir3stoolkit.mantle.dataframes: [Resolving Timestamps] Only static timestamp 2023-02-13 00:00:00.000 +01:00 is used
[2026-01-09 17:02:47,059] INFO in sir3stoolkit.mantle.dataframes: [Resolving Timestamps] 1 valid timestamp(s) will be used.
[2026-01-09 17:02:47,061] INFO in sir3stoolkit.mantle.dataframes: [Resolving tks] Retrieved 524 element(s) of element type ObjectTypes.Pipe.
[2026-01-09 17:02:47,069] INFO in sir3stoolkit.mantle.dataframes: [results] No properties given → using ALL result properties for ObjectTypes.Pipe.
[2026-01-09 17:02:47,071] INFO in sir3stoolkit.mantle.dataframes: [results] Using 82 result properties.
[2026-01-09 17:02:47,277] INFO in sir3stoolkit.mantle.dataframes: [results] Retrieving result values...
[2026-01-09 17:03:03,167] INFO in sir3stoolkit.mantle.dataframes: [results] Done. Shape: (1, 42968)

[22]:
tk 5442010239090746007 4917786378639043296 4762482310382009633 4987229536643024523 5722206630503885118 5089459212485379804 ... 5139154449387664728 4919408196640282331 4957957828740199285 5499776682108862751 5285235772707481262 5373158549695106826
name Rohr V-K03S V-K13S Rohr V-K13S V-K23S Rohr V-K23S V-K33S Rohr V-K33S V-K43S Rohr V-K43S V-K53S Rohr V-K53S V-K63S ... Rohr R-K4923S R-K4933S Rohr R-K4933S R-K3223S Rohr R-K4583S R-K4943S Rohr R-K4943S R-K4953S Rohr V-TS-S V-K1403S Rohr R-TS-S R-K3883S
end_nodes ('5669301360686511351', '5397948523091900401', '-1', '-1') ('5397948523091900401', '5239335112004772156', '-1', '-1') ('5239335112004772156', '5298886695042021307', '-1', '-1') ('5298886695042021307', '4993257270457791438', '-1', '-1') ('4993257270457791438', '5317865645994989592', '-1', '-1') ('5317865645994989592', '5085491372308261877', '-1', '-1') ... ('5085846975953784416', '5330057762618897371', '-1', '-1') ('5330057762618897371', '5000360659046308972', '-1', '-1') ('4863932769493405228', '5295548655235318963', '-1', '-1') ('5295548655235318963', '5475286394948521111', '-1', '-1') ('5172212715463480789', '5392476601138952594', '-1', '-1') ('5093129494518007690', '5337935179219974656', '-1', '-1')
property A ACALC CPI CPK DH DP DRAGRED DRAKONZ DSI DSK DTTR DWVERL DWVERLABS ETAAV FS HR HVEC IAKTIV IRTRENN JV JV2 LAMBDA LECKEINAUS LECKMENGE LECKORT LINEPACK LINEPACKGEOM LINEPACKRATE MAINELEMENT MAV MI MK MKOND MMAX_INST MMIN_INST MVEC MVECMAX_INST MVECMIN_INST PAV PDAMPF PHR PHVEC PMAX PMIN PR PVEC PVECMAX_INST PVECMIN_INST QI2 QK2 QMAV QMI QMK QMMAX_INST QMMIN_INST QMVEC QSVB RHOAV RHOI RHOK RHOVEC SVEC TAV TI TK TTRVEC TVEC TVECMAX_INST TVECMIN_INST VAV VI VK VMAX_INST VMIN_INST VOLDA WALTERI WALTERK WVL ZAUS ZEIN ZHKNR ZVEC A ACALC CPI CPK DH DP DRAGRED DRAKONZ DSI DSK DTTR DWVERL DWVERLABS ETAAV FS HR HVEC IAKTIV IRTRENN JV JV2 LAMBDA LECKEINAUS LECKMENGE LECKORT LINEPACK LINEPACKGEOM LINEPACKRATE MAINELEMENT MAV MI MK MKOND MMAX_INST MMIN_INST MVEC MVECMAX_INST MVECMIN_INST PAV PDAMPF PHR PHVEC PMAX PMIN PR PVEC PVECMAX_INST PVECMIN_INST QI2 QK2 QMAV QMI QMK QMMAX_INST QMMIN_INST QMVEC QSVB RHOAV RHOI RHOK RHOVEC SVEC TAV TI TK TTRVEC TVEC TVECMAX_INST TVECMIN_INST VAV VI VK VMAX_INST VMIN_INST VOLDA WALTERI WALTERK WVL ZAUS ZEIN ZHKNR ZVEC A ACALC CPI CPK DH DP DRAGRED DRAKONZ DSI DSK DTTR DWVERL DWVERLABS ETAAV FS HR HVEC IAKTIV IRTRENN JV JV2 LAMBDA LECKEINAUS LECKMENGE LECKORT LINEPACK LINEPACKGEOM LINEPACKRATE MAINELEMENT MAV MI MK MKOND MMAX_INST MMIN_INST MVEC MVECMAX_INST MVECMIN_INST PAV PDAMPF PHR PHVEC PMAX PMIN PR PVEC PVECMAX_INST PVECMIN_INST QI2 QK2 QMAV QMI QMK QMMAX_INST QMMIN_INST QMVEC QSVB RHOAV RHOI RHOK RHOVEC SVEC TAV TI TK TTRVEC TVEC TVECMAX_INST TVECMIN_INST VAV VI VK VMAX_INST VMIN_INST VOLDA WALTERI WALTERK WVL ZAUS ZEIN ZHKNR ZVEC A ACALC CPI CPK DH DP DRAGRED DRAKONZ DSI DSK DTTR DWVERL DWVERLABS ETAAV FS HR HVEC IAKTIV IRTRENN JV JV2 LAMBDA LECKEINAUS LECKMENGE LECKORT LINEPACK LINEPACKGEOM LINEPACKRATE MAINELEMENT MAV MI MK MKOND MMAX_INST MMIN_INST MVEC MVECMAX_INST MVECMIN_INST PAV PDAMPF PHR PHVEC PMAX PMIN PR PVEC PVECMAX_INST PVECMIN_INST QI2 QK2 QMAV QMI QMK QMMAX_INST QMMIN_INST QMVEC QSVB RHOAV RHOI RHOK RHOVEC SVEC TAV TI TK TTRVEC TVEC TVECMAX_INST TVECMIN_INST VAV VI VK VMAX_INST VMIN_INST VOLDA WALTERI WALTERK WVL ZAUS ZEIN ZHKNR ZVEC A ACALC CPI CPK DH DP DRAGRED DRAKONZ DSI DSK DTTR DWVERL DWVERLABS ETAAV FS HR HVEC IAKTIV IRTRENN JV JV2 LAMBDA LECKEINAUS LECKMENGE LECKORT LINEPACK LINEPACKGEOM LINEPACKRATE MAINELEMENT MAV MI MK MKOND MMAX_INST MMIN_INST MVEC MVECMAX_INST MVECMIN_INST PAV PDAMPF PHR PHVEC PMAX PMIN PR PVEC PVECMAX_INST PVECMIN_INST QI2 QK2 QMAV QMI QMK QMMAX_INST QMMIN_INST QMVEC QSVB RHOAV RHOI RHOK RHOVEC SVEC TAV TI TK TTRVEC TVEC TVECMAX_INST TVECMIN_INST VAV VI VK VMAX_INST VMIN_INST VOLDA WALTERI WALTERK WVL ZAUS ZEIN ZHKNR ZVEC A ACALC CPI CPK DH DP DRAGRED DRAKONZ DSI DSK DTTR DWVERL DWVERLABS ETAAV FS HR HVEC IAKTIV IRTRENN JV JV2 LAMBDA LECKEINAUS LECKMENGE LECKORT LINEPACK LINEPACKGEOM LINEPACKRATE MAINELEMENT MAV MI MK MKOND MMAX_INST MMIN_INST MVEC MVECMAX_INST MVECMIN_INST PAV PDAMPF ... PMAX PMIN PR PVEC PVECMAX_INST PVECMIN_INST QI2 QK2 QMAV QMI QMK QMMAX_INST QMMIN_INST QMVEC QSVB RHOAV RHOI RHOK RHOVEC SVEC TAV TI TK TTRVEC TVEC TVECMAX_INST TVECMIN_INST VAV VI VK VMAX_INST VMIN_INST VOLDA WALTERI WALTERK WVL ZAUS ZEIN ZHKNR ZVEC A ACALC CPI CPK DH DP DRAGRED DRAKONZ DSI DSK DTTR DWVERL DWVERLABS ETAAV FS HR HVEC IAKTIV IRTRENN JV JV2 LAMBDA LECKEINAUS LECKMENGE LECKORT LINEPACK LINEPACKGEOM LINEPACKRATE MAINELEMENT MAV MI MK MKOND MMAX_INST MMIN_INST MVEC MVECMAX_INST MVECMIN_INST PAV PDAMPF PHR PHVEC PMAX PMIN PR PVEC PVECMAX_INST PVECMIN_INST QI2 QK2 QMAV QMI QMK QMMAX_INST QMMIN_INST QMVEC QSVB RHOAV RHOI RHOK RHOVEC SVEC TAV TI TK TTRVEC TVEC TVECMAX_INST TVECMIN_INST VAV VI VK VMAX_INST VMIN_INST VOLDA WALTERI WALTERK WVL ZAUS ZEIN ZHKNR ZVEC A ACALC CPI CPK DH DP DRAGRED DRAKONZ DSI DSK DTTR DWVERL DWVERLABS ETAAV FS HR HVEC IAKTIV IRTRENN JV JV2 LAMBDA LECKEINAUS LECKMENGE LECKORT LINEPACK LINEPACKGEOM LINEPACKRATE MAINELEMENT MAV MI MK MKOND MMAX_INST MMIN_INST MVEC MVECMAX_INST MVECMIN_INST PAV PDAMPF PHR PHVEC PMAX PMIN PR PVEC PVECMAX_INST PVECMIN_INST QI2 QK2 QMAV QMI QMK QMMAX_INST QMMIN_INST QMVEC QSVB RHOAV RHOI RHOK RHOVEC SVEC TAV TI TK TTRVEC TVEC TVECMAX_INST TVECMIN_INST VAV VI VK VMAX_INST VMIN_INST VOLDA WALTERI WALTERK WVL ZAUS ZEIN ZHKNR ZVEC A ACALC CPI CPK DH DP DRAGRED DRAKONZ DSI DSK DTTR DWVERL DWVERLABS ETAAV FS HR HVEC IAKTIV IRTRENN JV JV2 LAMBDA LECKEINAUS LECKMENGE LECKORT LINEPACK LINEPACKGEOM LINEPACKRATE MAINELEMENT MAV MI MK MKOND MMAX_INST MMIN_INST MVEC MVECMAX_INST MVECMIN_INST PAV PDAMPF PHR PHVEC PMAX PMIN PR PVEC PVECMAX_INST PVECMIN_INST QI2 QK2 QMAV QMI QMK QMMAX_INST QMMIN_INST QMVEC QSVB RHOAV RHOI RHOK RHOVEC SVEC TAV TI TK TTRVEC TVEC TVECMAX_INST TVECMIN_INST VAV VI VK VMAX_INST VMIN_INST VOLDA WALTERI WALTERK WVL ZAUS ZEIN ZHKNR ZVEC A ACALC CPI CPK DH DP DRAGRED DRAKONZ DSI DSK DTTR DWVERL DWVERLABS ETAAV FS HR HVEC IAKTIV IRTRENN JV JV2 LAMBDA LECKEINAUS LECKMENGE LECKORT LINEPACK LINEPACKGEOM LINEPACKRATE MAINELEMENT MAV MI MK MKOND MMAX_INST MMIN_INST MVEC MVECMAX_INST MVECMIN_INST PAV PDAMPF PHR PHVEC PMAX PMIN PR PVEC PVECMAX_INST PVECMIN_INST QI2 QK2 QMAV QMI QMK QMMAX_INST QMMIN_INST QMVEC QSVB RHOAV RHOI RHOK RHOVEC SVEC TAV TI TK TTRVEC TVEC TVECMAX_INST TVECMIN_INST VAV VI VK VMAX_INST VMIN_INST VOLDA WALTERI WALTERK WVL ZAUS ZEIN ZHKNR ZVEC A ACALC CPI CPK DH DP DRAGRED DRAKONZ DSI DSK DTTR DWVERL DWVERLABS ETAAV FS HR HVEC IAKTIV IRTRENN JV JV2 LAMBDA LECKEINAUS LECKMENGE LECKORT LINEPACK LINEPACKGEOM LINEPACKRATE MAINELEMENT MAV MI MK MKOND MMAX_INST MMIN_INST MVEC MVECMAX_INST MVECMIN_INST PAV PDAMPF PHR PHVEC PMAX PMIN PR PVEC PVECMAX_INST PVECMIN_INST QI2 QK2 QMAV QMI QMK QMMAX_INST QMMIN_INST QMVEC QSVB RHOAV RHOI RHOK RHOVEC SVEC TAV TI TK TTRVEC TVEC TVECMAX_INST TVECMIN_INST VAV VI VK VMAX_INST VMIN_INST VOLDA WALTERI WALTERK WVL ZAUS ZEIN ZHKNR ZVEC
timestamp
2023-02-13 00:00:00.000 +01:00 0.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 0.013437 35.86027 1.306366 99999.0 99999.0 99999.0 99999.0 0.0 0.0 0.286071 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 14.68004\t14.68004\t14.68004\t14.68004\t14.68004 99999.0 99999.0 99999.0 0.693798 0.010421 99999.0 99999.0 4.291402 99999.0 4.502625\t4.44982\t4.397015\t4.34421\t4.291405 4.502625\t4.44982\t4.397015\t4.34421\t4.291405 4.502625\t4.44982\t4.397015\t4.34421\t4.291405 99999.0 99999.0 52.84816 52.84816 52.84816 99999.0 99999.0 99999.0 99999.0 99999.0 965.8608 965.8736 965.8608\t965.864\t965.8672\t965.8704\t965.8736 0\t9.107337\t18.21467\t27.32201\t36.42935 99999.0 89.73189 89.7107 0.3226847\t0.3260439\t0.3294031\t0.3327624\t0.... 89.7319\t89.72659\t89.72128\t89.716\t89.71069 99999.0 99999.0 0.753106 0.753106 0.753096 99999.0 99999.0 0.0 99999.0 99999.0 1843.65 99999.0 99999.0 99999.0 554.04\t554.5699\t555.1\t555.6299\t556.16 0.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 0.02538 29.88491 1.709949 99999.0 99999.0 99999.0 99999.0 0.0 0.0 0.255433 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 8.239944\t8.239944\t8.239944\t8.239944\t8.2399... 99999.0 99999.0 99999.0 0.692873 0.014615 99999.0 99999.0 3.817392 99999.0 4.291405\t4.2124\t4.1334\t4.0544\t3.975395\t3.... 4.291405\t4.2124\t4.1334\t4.0544\t3.975395\t3.... 4.291405\t4.2124\t4.1334\t4.0544\t3.975395\t3.... 99999.0 99999.0 29.6638 29.6638 29.6638 99999.0 99999.0 99999.0 99999.0 99999.0 965.8736 965.9032 965.8736\t965.8785\t965.8835\t965.8884\t965.89... 0\t9.536302\t19.0726\t28.60891\t38.14521\t47.6... 99999.0 89.7107 89.66132 0.3361216\t0.3403516\t0.3445816\t0.3488116\t0.... 89.71069\t89.70248\t89.69424\t89.686\t89.6778\... 99999.0 99999.0 0.626243 0.626243 0.626223 99999.0 99999.0 0.0 99999.0 99999.0 1032.379 99999.0 99999.0 99999.0 556.16\t556.9683\t557.7767\t558.585\t559.3933\... 0.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 0.017832 29.80227 1.221739 99999.0 99999.0 99999.0 99999.0 0.0 0.0 0.265206 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 8.403427\t8.403427\t8.403427\t8.403427\t8.4034... 99999.0 99999.0 99999.0 0.687946 0.010872 99999.0 99999.0 3.612322 99999.0 3.81739\t3.77638\t3.735365\t3.69435\t3.653335\... 3.81739\t3.77638\t3.735365\t3.69435\t3.653335\... 3.81739\t3.77638\t3.735365\t3.69435\t3.653335\... 99999.0 99999.0 30.25234 30.25234 30.25234 99999.0 99999.0 99999.0 99999.0 99999.0 965.9908 966.0116 965.9908\t965.995\t965.9991\t966.0033\t966.007... 0\t8.198963\t16.39793\t24.59689\t32.79585\t40.... 99999.0 89.51524 89.48063 0.4288333\t0.4323998\t0.4359663\t0.4395328\t0.... 89.51526\t89.50833\t89.5014\t89.49448\t89.4875... 99999.0 99999.0 0.63859 0.63859 0.638576 99999.0 99999.0 0.0 99999.0 99999.0 1045.86 99999.0 99999.0 99999.0 561.01\t561.42\t561.83\t562.24\t562.65\t563.06 0.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 0.002972 29.72455 0.20311 99999.0 99999.0 99999.0 99999.0 0.0 0.0 0.265206 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 8.403427\t8.403427 99999.0 99999.0 99999.0 0.687417 0.001812 99999.0 99999.0 3.591562 99999.0 3.61232\t3.59156 3.61232\t3.59156 3.61232\t3.59156 99999.0 99999.0 30.25234 30.25234 30.25234 99999.0 99999.0 99999.0 99999.0 99999.0 966.0116 966.0151 966.0116\t966.0151 0\t6.833079 99999.0 89.48063 89.47486 0.4466657\t0.4496381 89.48062\t89.47485 99999.0 99999.0 0.638576 0.638576 0.638574 99999.0 99999.0 0.0 99999.0 99999.0 1043.872 99999.0 99999.0 99999.0 563.06\t563.26 0.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 0.003259 29.8443 0.223626 99999.0 99999.0 99999.0 99999.0 0.0 0.0 0.265207 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 8.403427\t8.403427 99999.0 99999.0 99999.0 0.687258 0.001987 99999.0 99999.0 3.57442 99999.0 3.59156\t3.57442 3.59156\t3.57442 3.59156\t3.57442 99999.0 99999.0 30.25234 30.25234 30.25234 99999.0 99999.0 99999.0 99999.0 99999.0 966.0151 966.0189 966.0151\t966.0189 0\t7.493101 99999.0 89.47486 89.46854 0.4496381\t0.4528976 89.47485\t89.46854 99999.0 99999.0 0.638574 0.638574 0.638571 99999.0 99999.0 0.0 99999.0 99999.0 1043.542 99999.0 99999.0 99999.0 563.26\t563.42 0.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 0.00362 29.83195 0.248246 99999.0 99999.0 99999.0 99999.0 0.0 0.0 0.265207 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 8.403427\t8.403427 99999.0 99999.0 99999.0 0.687084 ... 99999.0 1.215812 99999.0 1.26682\t1.241315\t1.21581 1.26682\t1.241315\t1.21581 1.26682\t1.241315\t1.21581 99999.0 99999.0 6.548362e-10 6.548362e-10 6.548362e-10 99999.0 99999.0 99999.0 99999.0 99999.0 1000.3 1000.3 1000.3\t1000.3\t1000.3 0\t5.548894\t11.09779 99999.0 9.999994 9.999994 8.799599\t14.34849\t19.89739 10\t10\t10 99999.0 99999.0 2.343350e-13 2.343350e-13 2.343350e-13 99999.0 99999.0 0.0 99999.0 99999.0 0.0 99999.0 99999.0 99999.0 548.64\t548.9\t549.16 0.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 26.07811 0.0 0.0 99999.0 99999.0 99999.0 99999.0 1.0 0.0 2.897265e-23 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 2.328306E-10\t2.328306E-10\t2.328306E-10\t2.32... 99999.0 99999.0 99999.0 0.0123 7.555519e-25 99999.0 99999.0 1.107903 99999.0 1.21581\t1.179845\t1.143875\t1.107905 1.21581\t1.179845\t1.143875\t1.107905 1.21581\t1.179845\t1.143875\t1.107905 99999.0 99999.0 8.381903e-10 8.381903e-10 8.381903e-10 99999.0 99999.0 99999.0 99999.0 99999.0 1000.3 1000.3 1000.3\t1000.3\t1000.3\t1000.3 0\t8.692702\t17.3854\t26.07811 99999.0 9.999994 9.999994 19.89739\t28.59009\t37.28279\t45.97549 10\t10\t10\t10 99999.0 99999.0 2.999488e-13 2.999488e-13 2.999488e-13 99999.0 99999.0 0.0 99999.0 99999.0 0.0 99999.0 99999.0 99999.0 549.16\t549.5267\t549.8933\t550.26 0.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 17.34526 0.0 0.0 99999.0 99999.0 99999.0 99999.0 1.0 0.0 4.074279e-24 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 -8.731149E-11\t-8.731149E-11\t-8.731149E-11 99999.0 99999.0 99999.0 0.0123 7.066944e-26 99999.0 99999.0 1.383576 99999.0 1.63863\t1.5111\t1.383575 1.63863\t1.5111\t1.383575 1.63863\t1.5111\t1.383575 99999.0 99999.0 -3.143214e-10 -3.143214e-10 -3.143214e-10 99999.0 99999.0 99999.0 99999.0 99999.0 1000.3 1000.3 1000.3\t1000.3\t1000.3 0\t8.672631\t17.34526 99999.0 9.999994 9.999994 17.34526\t8.672631\t0 10\t10\t10 99999.0 99999.0 -1.124808e-13 -1.124808e-13 -1.124808e-13 99999.0 99999.0 0.0 99999.0 99999.0 0.0 99999.0 99999.0 99999.0 544.85\t546.15\t547.45 0.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 20.64109 0.0 0.0 99999.0 99999.0 99999.0 99999.0 1.0 0.0 0.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 0\t0\t0\t0 99999.0 99999.0 99999.0 0.0123 0.0 99999.0 99999.0 1.068692 99999.0 1.383575\t1.278615\t1.173655\t1.06869 1.383575\t1.278615\t1.173655\t1.06869 1.383575\t1.278615\t1.173655\t1.06869 99999.0 99999.0 0.0 0.0 0.0 99999.0 99999.0 99999.0 99999.0 99999.0 1000.3 1000.3 1000.3\t1000.3\t1000.3\t1000.3 0\t6.880364\t13.76073\t20.64109 99999.0 9.999994 9.999994 20.64109\t20.64109\t20.64109\t20.64109 10\t10\t10\t10 99999.0 99999.0 0.0 0.0 0.0 99999.0 99999.0 0.0 99999.0 99999.0 0.0 99999.0 99999.0 99999.0 547.45\t548.52\t549.59\t550.66 0.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 0.002894 22.78424 0.227842 99999.0 99999.0 99999.0 99999.0 0.0 0.0 0.757064 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 8.407588\t8.407588 99999.0 99999.0 99999.0 0.473539 0.007571 99999.0 99999.0 4.839628 99999.0 4.83963\t4.8454 4.83963\t4.8454 4.83963\t4.8454 99999.0 99999.0 30.26732 30.26732 30.26732 99999.0 99999.0 99999.0 99999.0 99999.0 972.2 972.2039 972.2\t972.2039 0\t10 99999.0 79.99999 79.99355 0\t0.002893686 80\t79.99356 99999.0 99999.0 0.959947 0.959947 0.959943 99999.0 99999.0 0.0 99999.0 99999.0 708.3147 99999.0 99999.0 99999.0 546.23\t546.09 0.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 0.002928 16.21581 0.162158 99999.0 99999.0 99999.0 99999.0 0.0 0.0 0.7658 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 99999.0 -8.407588\t-8.407588 99999.0 99999.0 99999.0 0.198149 0.007658 99999.0 99999.0 3.981986 99999.0 3.981985\t3.997365 3.981985\t3.997365 3.981985\t3.997365 99999.0 99999.0 -30.26732 -30.26732 -30.26732 99999.0 99999.0 99999.0 99999.0 99999.0 983.7596 983.7573 983.7596\t983.7573 0\t10 99999.0 59.88087 59.88548 0.04499995\t0.04207187 59.88086\t59.8855 99999.0 99999.0 -0.948669 -0.948667 -0.948669 99999.0 99999.0 0.0 99999.0 99999.0 0.0 99999.0 99999.0 99999.0 546.26\t546.18

1 rows × 42968 columns

Note that a multi index on the columns is created, holding the most important model_data.

  • Level 0: tk (device ID)

  • Level 1: name (device name)

  • Level 2: end_nodes (tuple of connected node IDs as string)

  • Level 3: property (result name)

As can be seen a lot of 99999.0 placeholder values are inserted, because we attempt to access many result values that SIR Calc can calculate but are not requested for this model. Therefore using all available result properties(properties=None), is generally not recommended.

Subcase 2: All Timestamps + Specific Values

[23]:

df_pipes_2 = s3s.generate_element_results_dataframe(element_type=s3s.ObjectTypes.Pipe
                                                    ,properties=["DTTR", "PHR"] # Specify result properties of interest
                                                    ,timestamps=None # None => All available simulation timestamps
                                                    )

[2026-01-09 17:03:04,000] INFO in sir3stoolkit.mantle.dataframes: [results] Generating results dataframe for element type: ObjectTypes.Pipe
[2026-01-09 17:03:04,000] INFO in sir3stoolkit.mantle.dataframes: [Resolving Timestamps] No timestamps were given. Checking available simulation timestamps (SIR3S_Model.GetTimeStamps()[0]).
[2026-01-09 17:03:04,185] INFO in sir3stoolkit.mantle.dataframes: [Resolving Timestamps] 25 simulation timestamp(s) are available.
[2026-01-09 17:03:04,295] INFO in sir3stoolkit.mantle.dataframes: [Resolving Timestamps] 25 valid timestamp(s) will be used.
[2026-01-09 17:03:04,300] INFO in sir3stoolkit.mantle.dataframes: [Resolving tks] Retrieved 524 element(s) of element type ObjectTypes.Pipe.
[2026-01-09 17:03:04,301] INFO in sir3stoolkit.mantle.dataframes: [results] Using 2 result properties.
[2026-01-09 17:03:04,329] INFO in sir3stoolkit.mantle.dataframes: [results] Retrieving result values...
[2026-01-09 17:03:08,535] INFO in sir3stoolkit.mantle.dataframes: [results] Done. Shape: (25, 1048)

[24]:

df_pipes_2.head(3)

[24]:
tk 5442010239090746007 4917786378639043296 4762482310382009633 4987229536643024523 5722206630503885118 5089459212485379804 5526871502288882655 4809089329099085219 5170001087020228683 5625716875961234775 5501916898830363065 5192970129555982907 5027225217797463802 5107343838750080243 4840056338230495043 5700872284015490704 5290590848336792638 4781821593135991761 4770083637349644299 5140383994159421977 4615723899944629797 5485743457841402038 5061682782623660813 4868922965129592512 5253822763469470014 5468996363795343031 5339499657518903527 4811306899232458618 4928779983564758026 4965578769510488820 5600841315591171772 4995034655758156710 5209057104414292468 5726827761099671871 5080791944541542127 4996979568467922520 4893521402166887668 4943852467771545411 5294908835443772392 5407639481169980338 5494345815849234157 5559756735287401600 4688455252738739891 5120913591494019846 5189136483684313738 5027271755713739562 4843364651593046845 4763398616537422727 5211657964305638265 4899878437571936054 5017291090985710926 4968195666913259627 4872293615039533867 5073852406571450055 5460451359190976355 5680559127926603859 5701217076123185999 5343389149567015241 5004534437760811077 5638727652971481339 4933247170382646480 5144558095415012328 4676843093813396651 5238385499211955735 5431464167607748731 5021757307925561906 5735390708503613465 5602200558168325137 4976126317058169697 5611058499224570176 4951309552891536851 4734625425618016004 5003475594426980558 5199984776776235548 5146987453990281112 4664282009021425543 4730098385004060223 5143417057295500465 4870893641534242754 4751771958060245818 5431352512414392985 4756919352045195395 4950699445422043390 5443612009555325057 5130272059781459965 5030450908543536722 5425728209090108132 4897883139609927597 5385910423114382788 4815053638180850703 5520594566396266859 4822932207368532352 4943632133505495565 5136719248606301905 5222700144096421193 5209596079625295991 5215757535605464866 5089350764087843246 4922208128354560629 5176883269076091732 4882993749777364317 5374456943006507008 4843836890906700052 5535463940319820632 5012186927559751405 4986912592668362327 5119633900217288954 5293317689029296733 4766100927082653384 5638908776577558151 5244494914545547298 4818046255571175936 4826614335972511296 5223081641641736592 5248841557788033271 5612538195203776712 5446352019210100674 5198739705259994278 5120004980087359327 5081007708328729580 5332936729509410779 5193926613850153217 5669055683311185692 5142801769428353146 5570925755149935463 5089627882145801048 5749509498631743083 5313314888424094938 5672198676406030965 5492269585462839687 4878085949235357089 5009009696813138306 5417154223408487165 4888087184557203150 5482200169109927461 5506250915346749683 5249576152024204638 5377200445080630699 5293057810555927426 4869711570166799356 5116990929886803340 5735615340560878820 4881353465437199724 5621715799375882738 5012002718030878203 5398733809575429001 5028247962181469636 4900101542637177072 5277687384123072302 5494173646602854486 5052735000191334434 5539639795342428023 5278182790120832611 5199049455293895634 4921179458989199657 4916972176026821426 5022571509924021844 4763784987464972068 5277721701940071811 5134029809569092929 5078017899111203433 5254059088049802980 5371971925339056665 5431036277668526595 5483354135827032665 5285379841869150294 5293405653296791451 4819969964299896962 5351904744714142235 5646757598295302988 5691533564979419761 5048873293262650113 5643610361723733925 5199821632200720341 5532148500642435090 5595641383032896800 5473664242867087532 5537095863454943245 4971302338639629382 5013314486814762862 5242300102291724928 5546837522852121331 5019054790932573745 4728990773140988900 5367689158219221191 5218286473243188911 5539804019387586531 5617925833435212075 5306936070034225058 5358411267245496507 4713734746689397424 5149494653460530987 5084014870632527368 5657819787231956123 4869220947327072403 4715322105206840823 5187233458674428963 5629674368074184841 5435501069470547583 5330653354008278132 5046788308257498968 5533352733021876828 4768631712844719739 5005484350725146842 4872282937361972118 5016948138155572756 4703401536268630837 5134010500800575790 5406399909528044374 4885580927738649460 4963336754663987411 4884019193798941071 4933076724177745599 5159803586983620393 5516466299205310619 5650023590814923905 5148527180660772222 5733296470387480717 4843558237591196246 5574298204235077852 5540212992243853698 5204052626441544440 5413647981880727734 5715081934973525403 5049850420107484598 ... 5171452993003233254 5504198339205496589 4719357763484034357 5225837880074756830 5510181626553100351 4760946687921724871 5614427492096377103 4927641140942847414 5729604610944816597 4882552315784164880 5257981584043456915 4938996375166925756 5421398405406913635 4962100702860212938 5421430877263527292 5339196156765864322 5661020219914976772 5132260782031874052 5610645671126907531 5088118559395908241 4682308450817945744 5310631739077016355 4642691676158694066 4878625090161970035 5415611881890744808 4684277220425971306 5047578765029460904 4710770352756501353 4969276367511773662 5214318112729379445 4928854908449192958 5044818536193229919 5051867400881669938 4882102600088880371 4827621148114216810 5530001766339324882 5574368916270404706 5212135885184953691 4863413926279416222 5112632375838439801 5034102557273960207 5217545821557049000 5463140090162498635 5734197539612395211 4727280315925004921 5588591001661089031 4730349653629096831 4918527022885165282 5571916004254321469 5404108937658643642 4626298778883320488 4845981198970833615 4747303711713930863 5700451917749700780 5240598442189838861 4885312725237891338 5142321230404303001 5215539772096610729 4846735402607458277 5044521504014195043 5207492011174002136 5058928636361668066 5246422164772942528 5120200112115793078 5408386271763427083 5020595804850039689 4806407422748114463 5259867563633533635 5737735714239704290 5504700288230346869 4868190606680946910 5170375361067785571 4996296504383504871 5724522424252558811 5590814984777753657 5372713622801715679 5449014635431218568 4745781253473544150 4813723342227793459 4832698291978284341 5497524052304204460 5164866772337285491 5535881834434832605 5691580718686834263 4753421910059873362 5102328320686607707 5388236272637760764 5244316939682317750 4629907932103493008 5250108024251858510 5539222534062219365 5724709454522975449 4946907145947093770 5010841248861547024 4946660727138603312 4730481032770365008 4646777926018012533 4685096220994950172 4867029473074725377 5476573944120214165 4757737626092948164 4736379593968735345 5234354459699789538 5519100829614390747 4830938580045344276 5749276576386297901 5205186198770431875 4880674315427701471 5042815752291441380 4720252396094244657 5128607651797435321 5355887361787275905 5397834454637092532 5047118840904603964 5354238701959876646 5191878519166468059 4672178163429150245 4890718426220097002 5545776320196545942 5251654897528003108 4665618379396092129 5526390888327447502 5027758408993827300 4808816045815330468 4719684468262235792 4653917802285889060 5100363997794015782 5542353615796683962 4856621214843687119 5091035922526307609 5462527908760086398 5299893048728663899 5025945677694931826 5216742060270992761 5206715119922080390 5614561155954926685 4974194145964522381 5671958289203153153 4990543560575760524 5247124307283071566 4735975890664373580 4842513789798839810 5285960184348381629 4957901171316760845 5069492939710800234 4751609783097570467 4689288032911398385 5283312165961731762 4716572325333554424 5200557978311528793 5345505431541824275 5763157564781355962 4614463970292122863 5308401669311842409 5562790236254752555 5063424580015977984 4649085734598630044 5626442095740506183 5141058989776128436 5204457366531553036 4663021439473051607 5288784997737800489 5300463730694955198 5199813036506389861 5259997559642942680 4966137347301400903 5265646923527127094 5267684323378048607 5172603529959074868 5204837016964086891 5125273453451056492 4840577257896235184 5314980284944318634 5569015712468846406 5608266520595830790 5670634661786163203 5547929108205842356 5325979640694265557 5309389718470399165 4858769154205497127 4744152276765399160 4832141333841349233 5685600617346450154 4794261027124244870 5299861566239260044 4919359344392474301 4819106626657300012 5634392781200984475 4895368922126406008 5377073214297285114 4806335761459244120 5445675821666151876 5151948180726626898 5216604222073162798 4922860284273709287 4623301797443553869 4936935202016711641 5547051071040108641 5320576812120795706 5693000264828698789 5411578293161860891 4905468706944801791 5579607382442232035 5506211537324438173 5542801165145139080 5013949825709681825 4631495679500266540 5268910820355280011 4673529796143308930 5502845593951347652 5269134948859572308 5491353045770208506 5351083508550202918 5405503540588733856 5409157591891833907 5288551187767515760 5273136311620767333 5331559348183931626 5263881428814102490 5139154449387664728 4919408196640282331 4957957828740199285 5499776682108862751 5285235772707481262 5373158549695106826
name Rohr V-K03S V-K13S Rohr V-K13S V-K23S Rohr V-K23S V-K33S Rohr V-K33S V-K43S Rohr V-K43S V-K53S Rohr V-K53S V-K63S Rohr V-K63S V-K73S Rohr V-K73S V-K83S Rohr V-K83S V-K93S Rohr V-K93S V-K103S Rohr V-K103S V-K113S Rohr V-K113S V-K123S Rohr V-K123S V-K133S Rohr V-K133S V-K143S Rohr V-K153S V-K163S Rohr V-K163S V-K143S Rohr V-K143S V-K173S Rohr V-K173S V-K183S Rohr V-K183S V-K193S Rohr V-K193S V-K203S Rohr V-K203S V-K213S Rohr V-K213S V-K223S Rohr V-K233S V-K243S Rohr V-K243S V-K253S Rohr V-K253S V-K263S Rohr V-K263S V-K273S Rohr V-K273S V-K153S Rohr V-K283S V-K293S Rohr V-K293S V-K303S Rohr V-K303S V-K313S Rohr V-K313S V-K323S Rohr V-K323S V-K333S Rohr V-K333S V-K03S Rohr V-K03S V-K343S Rohr V-K353S V-K363S Rohr V-K363S V-K373S Rohr V-K373S V-K383S Rohr V-K383S V-K393S Rohr V-K393S V-K403S Rohr V-K403S V-K413S Rohr V-K413S V-K423S Rohr V-K423S V-K433S Rohr V-K433S V-K443S Rohr V-K443S V-K453S Rohr V-K453S V-K463S Rohr V-K463S V-K473S Rohr V-K423S V-K483S Rohr V-K483S V-K493S Rohr V-K493S V-K503S Rohr V-K503S V-K513S Rohr V-K513S V-K523S Rohr V-K523S V-K533S Rohr V-K533S V-K543S Rohr V-K543S V-K553S Rohr V-K553S V-K563S Rohr V-K573S V-K583S Rohr V-K153S V-K593S Rohr V-K593S V-K603S Rohr V-K603S V-K283S Rohr V-K353S V-K613S Rohr V-K343S V-K623S Rohr V-K623S V-K633S Rohr V-K633S V-K643S Rohr V-K643S V-K653S Rohr V-K653S V-K663S Rohr V-K663S V-K673S Rohr V-K673S V-K683S Rohr V-K683S V-K693S Rohr V-K693S V-K703S Rohr V-K703S V-K713S Rohr V-K713S V-K723S Rohr V-K723S V-K733S Rohr V-K733S V-K743S Rohr V-K743S V-K753S Rohr V-K753S V-K763S Rohr V-K223S V-K773S Rohr V-K783S V-K793S Rohr V-K793S V-K803S Rohr V-K803S V-K813S Rohr V-K813S V-K823S Rohr V-K823S V-K833S Rohr V-K833S V-K843S Rohr V-K843S V-K853S Rohr V-K853S V-K863S Rohr V-K863S V-K873S Rohr V-K873S V-K883S Rohr V-K883S V-K893S Rohr V-K893S V-K903S Rohr V-K903S V-K913S Rohr V-K913S V-K923S Rohr V-K923S V-K503S Rohr V-K503S V-K353S Rohr V-K933S V-K943S Rohr V-K943S V-K953S Rohr V-K953S V-K963S Rohr V-K963S V-K973S Rohr V-K973S V-K983S Rohr V-K983S V-K993S Rohr V-K993S V-K1003S Rohr V-K1003S V-K1013S Rohr V-K1013S V-K1023S Rohr V-K1023S V-K1033S Rohr V-K283S V-K1043S Rohr V-K1043S V-K1053S Rohr V-K1053S V-K1063S Rohr V-K1063S V-K1073S Rohr V-K1073S V-K1083S Rohr V-K1083S V-K573S Rohr V-K1093S V-K1103S Rohr V-K1103S V-K1113S Rohr V-K1113S V-K1123S Rohr V-K1123S V-K1133S Rohr V-K1133S V-K1143S Rohr V-K1143S V-K1153S Rohr V-K1153S V-K953S Rohr V-K1163S V-K1173S Rohr V-K1173S V-K1153S Rohr V-K1153S V-K1033S Rohr V-K1033S V-K1183S Rohr V-K1183S V-K1193S Rohr V-K1193S V-K1203S Rohr V-K1203S V-K1213S Rohr V-K1213S V-K1223S Rohr V-K1223S V-K03S Rohr V-K1233S V-K1223S Rohr V-K23S V-K1243S Rohr V-K1243S V-K1253S Rohr V-K1253S V-K1263S Rohr V-K1263S V-K1273S Rohr V-K1273S V-K1283S Rohr V-K1283S V-K1293S Rohr V-K1293S V-K1303S Rohr V-K1303S V-K13S Rohr V-K83S V-K1313S Rohr V-K1313S V-K1323S Rohr V-K1323S V-K1333S Rohr V-K1333S V-K1343S Rohr V-K1343S V-K1353S Rohr V-K1353S V-K1363S Rohr V-K1363S V-K1373S Rohr V-K133S V-SP01 Rohr V-K333S V-K1393S Rohr V-K963S V-TS-P Rohr V-K1403S V-K1413S Rohr V-K1403S V-K1423S Rohr V-K1423S V-K1433S Rohr V-K1433S V-K1443S Rohr V-K1443S V-K1453S Rohr V-K1453S V-K1463S Rohr V-K1463S V-K1473S Rohr V-K1473S V-K1483S Rohr V-K1483S V-K1493S Rohr V-K1493S V-K1503S Rohr V-K1503S V-K1513S Rohr V-K1513S V-K1523S Rohr V-K1523S V-K1533S Rohr V-K1533S V-K1543S Rohr V-K1543S V-K1553S Rohr V-K1553S V-K1563S Rohr V-K1563S V-K1573S Rohr V-K1573S V-K1583S Rohr V-K1583S V-K623S Rohr V-SP02 V-K1603S Rohr V-K1603S V-K1613S Rohr V-K1613S V-K1623S Rohr V-K1623S V-K253S Rohr V-K1603S V-K1633S Rohr V-K263S V-K1643S Rohr V-K1643S V-K1653S Rohr V-K1653S V-K1663S Rohr V-E0 V-K1683S Rohr V-K1683S V-K1693S Rohr V-K1703S V-K1713S Rohr V-K1713S V-K1723S Rohr V-K1723S V-K1733S Rohr V-K1733S V-K1743S Rohr V-K1743S V-K1753S Rohr V-K1753S V-K1763S Rohr V-K1763S V-K1773S Rohr V-K1773S V-K1783S Rohr V-K1783S V-K1793S Rohr V-K1793S V-K1803S Rohr V-K1803S V-K1813S Rohr V-K1813S V-K1823S Rohr V-K1833S V-K1843S Rohr V-K1843S V-K1853S Rohr V-K1853S V-K1863S Rohr V-K1873S V-K1883S Rohr V-K1883S V-K1893S Rohr V-K1893S V-K1903S Rohr V-K1903S V-K1703S Rohr V-K1703S V-K1913S Rohr V-K1913S V-K1763S Rohr V-K1763S V-K1923S Rohr V-K1923S V-K1833S Rohr V-K523S V-K1933S Rohr V-K1933S V-K1943S Rohr V-K1943S V-K1953S Rohr V-K1953S V-K1963S Rohr V-K1963S V-K1973S Rohr V-K243S V-K1983S Rohr V-K483S V-K1993S Rohr V-K1993S V-K2003S Rohr V-K2003S V-K2013S Rohr V-K2013S V-K2023S Rohr V-K2023S V-K573S Rohr V-K833S V-K2033S Rohr V-K2033S V-K2043S Rohr V-K1693S V-K2053S Rohr V-K2053S V-K813S Rohr V-K2063S V-K2073S Rohr V-K323S V-K2083S Rohr V-K2083S V-K1093S Rohr V-K1093S V-K1073S Rohr V-K2093S V-K2103S Rohr V-K2103S V-K2113S Rohr V-K2113S V-K2123S Rohr V-K2123S V-K2133S Rohr V-K2133S V-K1833S Rohr V-K1413S V-K2143S Rohr V-K1083S V-K2153S Rohr V-K823S V-K2043S Rohr V-K2043S V-K2163S Rohr V-K2163S V-K1693S Rohr V-K2173S V-K933S ... Rohr R-K2873S R-K2883S Rohr R-K2883S R-K2893S Rohr R-K2893S R-K2903S Rohr R-K2903S R-K2913S Rohr R-K2913S R-K2923S Rohr R-K2923S R-K2933S Rohr R-K2933S R-K2943S Rohr R-K2943S R-K2953S Rohr R-K2903S R-K2963S Rohr R-K2963S R-K2973S Rohr R-K2973S R-K2983S Rohr R-K2983S R-K2993S Rohr R-K2993S R-K3003S Rohr R-K3003S R-K3013S Rohr R-K3013S R-K3023S Rohr R-K3023S R-K3033S Rohr R-K3033S R-K3043S Rohr R-K3053S R-K3063S Rohr R-K2633S R-K3073S Rohr R-K3073S R-K3083S Rohr R-K3083S R-K2763S Rohr R-K2833S R-K3093S Rohr R-K2823S R-K3103S Rohr R-K3103S R-K3113S Rohr R-K3113S R-K3123S Rohr R-K3123S R-K3133S Rohr R-K3133S R-K3143S Rohr R-K3143S R-K3153S Rohr R-K3153S R-K3163S Rohr R-K3163S R-K3173S Rohr R-K3173S R-K3183S Rohr R-K3183S R-K3193S Rohr R-K3193S R-K3203S Rohr R-K3203S R-K3213S Rohr R-K3213S R-K3223S Rohr R-K3223S R-K3233S Rohr R-K3233S R-K3243S Rohr R-K2703S R-K3253S Rohr R-K3263S R-K3273S Rohr R-K3273S R-K3283S Rohr R-K3283S R-K3293S Rohr R-K3293S R-K3303S Rohr R-K3303S R-K3313S Rohr 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timestamp
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0.000000e+00 32.47894 0.000000e+00 63.81877 0.0 0.032378 0.014526 0.026701 0.013308 0.007818 0.002306 0.020992 0.008493 0.028376 0.011790 0.035534 0.012847 0.019520 0.008508 0.013524 0.002875 0.004844 0.002345 0.003947 0.001910 10.56986 1.001124e-14 14.57936 1.380879e-14 19.87988 1.882914e-14 24.45074 2.315844e-14 23.61157 2.236373e-14 50.96676 4.827340e-14 21.2934 7.592590e-25 16.31768 7.572807e-25 21.15114 7.623296e-25 6.620245 3.288472e-26 5.387928 0.0 11.07489 2.132729e-26 6.690278 0.000000e+00 21.84747 8.901271e-26 18.86606 3.416249e-26 26.74521 5.516478e-25 17.53896 1.341834e-24 15.2731 1.355163e-24 7.780674 7.405621e-25 35.01923 3.316785e-14 18.98862 1.798485e-14 14.42032 1.625796e-26 16.00222 8.560002e-26 40.99183 1.024805e-23 37.58163 1.021212e-23 3.547835 1.192627e-24 34.96974 0.000000e+00 105.8952 7.490393e-26 80.62691 3.496503e-22 36.44118 0.0 31.60874 4.774695e-26 0.047206 0.001445 0.038217 0.004156 0.015629 0.006058 0.005451 0.002638 0.004265 0.002064 18.81272 8.667887e-23 15.6488 1.906363e-25 0.027419 0.010804 45.47781 0.0 0.080638 0.032971 34.57665 0.0 8.426783 4.756933e-26 22.79576 8.529783e-26 33.26721 8.494776e-26 18.7625 0.000000e+00 14.43095 1.602735e-25 0.032167 0.005290 0.020764 0.018192 16.76996 0.000000e+00 0.004546 0.002200 0.001977 0.000957 0.002536 0.000782 ... 13.37522 6.133660e-24 0.032720 0.030559 0.007778 0.003467 0.011594 0.007695 0.009619 0.008671 0.015899 0.008306 0.013823 0.008970 0.023763 0.010876 14.29888 0.000000e+00 6.310922 0.0 59.923 2.004137e-26 99.99299 0.0 14.00829 5.208222e-27 5.560995 2.977277e-25 17.37406 1.354632e-24 126.116 2.230173e-26 21.51779 0.0 0.028714 0.025998 0.036713 0.005910 0.115293 0.003702 0.013112 0.000078 42.03592 2.116783e-26 23.02995 1.547077e-23 117.7475 0.000000e+00 25.77541 3.371093e-25 18.48974 0.0 20.08946 2.220325e-26 20.21883 5.586558e-27 71.85966 0.0 24.84862 1.196296e-26 25.31222 1.092795e-26 30.19752 3.375001e-25 36.38173 0.000000e+00 34.99198 8.019399e-26 6.78462 2.116374e-26 33.2108 7.632334e-25 50.19061 1.353707e-24 47.19448 0.0 50.84296 0.0 50.56349 3.662396e-25 41.89281 5.320806e-24 9.602071 3.423812e-25 25.53992 8.743657e-26 0.011039 0.005319 0.011600 0.005589 0.020583 0.009917 0.016737 0.008065 0.015900 0.007661 35.89539 8.341093e-26 72.46398 3.332966e-25 71.66468 1.370693e-24 49.03616 3.333252e-25 54.56744 0.0 92.76953 0.0 0.023111 0.011893 0.019357 0.009632 0.018318 0.009675 0.028447 0.019633 0.005504 0.002110 0.004339 0.001664 0.005004 0.001918 0.006498 0.001853 0.021652 0.018859 0.006376 0.003340 0.002393 0.003291 0.001055 0.001452 0.001503 0.002068 0.007957 0.012579 0.041121 0.012033 0.023627 0.010704 0.005816 0.003685 0.003218 0.002804 0.003273 0.002852 0.002910 0.000911 0.003892 0.001605 0.043215 0.025173 0.042147 0.011640 0.013968 0.002407 0.033753 0.015579 0.084671 0.047416 0.030686 0.007475 0.003897 0.003118 0.002824 0.002259 0.003437 0.001983 0.029106 0.012807 76.11499 0.0 0.046102 0.021899 0.203629 0.005510 0.002683 0.000223 0.004443 0.000369 0.022098 0.001834 0.018827 0.002237 0.004518 0.000750 0.004256 0.000169 0.167200 0.003843 0.001902 0.000929 0.015718 0.015831 0.001780 0.000822 0.001841 0.000850 0.002803 0.000685 0.014642 0.003579 0.027562 0.002526 0.035425 0.007735 0.077527 0.023835 0.027558 0.025218 0.034402 0.005778 0.009633 0.014163 0.012929 0.010933 0.004087 0.013820 0.005108 0.011797 0.005289 0.006377 0.006334 0.006964 0.004437 0.007617 0.004207 0.007222 0.006515 0.005366 0.023215 0.015847 0.010218 0.006975 0.038396 0.006148 22.46283 2.108214e-24 11.13411 3.361425e-25 18.74616 3.296165e-25 27.98768 3.370467e-25 32.47894 8.594241e-26 63.81877 0.0 0.032964 0.015186 0.027192 0.013730 0.007962 0.002383 0.021380 0.008757 0.022239 0.019863 0.036189 0.013256 0.019879 0.008786 0.013771 0.002986 0.004935 0.002378 0.004021 0.001937 10.56986 1.601787e-13 14.57936 2.209403e-13 19.87988 3.012653e-13 24.45074 3.705344e-13 23.61157 3.578180e-13 50.96676 7.723678e-13 21.2934 3.398290e-25 16.31768 8.414230e-26 21.15114 8.483443e-26 6.620245 3.288472e-26 5.387928 2.104679e-26 11.07489 0.000000e+00 6.690278 8.347781e-26 21.84747 8.901271e-26 18.86606 1.921640e-26 26.74521 3.003416e-24 17.53896 2.161623e-24 15.2731 3.049118e-24 7.780674 3.348380e-25 35.01923 5.306936e-13 18.98862 2.877608e-13 14.42032 2.115087e-24 16.00222 4.316010e-25 40.99183 2.144482e-24 37.58163 2.105639e-24 3.547835 2.110511e-26 34.96974 0.000000e+00 105.8952 0.0 80.62691 3.361898e-22 36.44118 0.0 31.60874 0.0 0.048071 0.001530 0.038927 0.004358 0.015920 0.006248 0.005553 0.002676 0.004345 0.002093 18.81272 8.681118e-23 15.6488 0.0 0.027928 0.011203 45.47781 0.0 0.082113 0.034168 34.57665 0.0 8.426783 2.095524e-26 22.79576 3.411913e-25 33.26721 1.359164e-24 18.7625 7.615252e-25 14.43095 9.629093e-25 0.032542 0.005464 0.021149 0.018737 16.76996 0.0 0.004631 0.002231 0.002014 0.000970 0.002583 0.000796 0.010455 0.005038 0.004510 0.002173 0.003170 0.001528 0.004195 0.004084 0.027372 0.008274 64.70937 0.000000e+00 80.91752 1.355253e-24 102.0578 1.182754e-23 47.21349 5.428936e-24 0.015279 0.007224 0.016900 0.002843 0.028449 0.004785 42.44363 7.016279e-22 12.77701 5.189308e-23 27.49709 7.597578e-25 5.377964 3.388130e-25 2.779566 7.959043e-26 2.251996 4.369624e-26 9.412791 2.127350e-26 3.21121 8.308066e-27 2.603956 4.377348e-26 5.753166 3.474229e-26 17.9649 5.368832e-27 0.087379 0.015389 0.017305 0.002236 0.014930 0.001814 26.05582 4.146824e-24 0.008467 0.004144 0.017297 0.008859 25.21477 0.000000e+00 13.48946 8.444945e-26 8.799599 1.917243e-25 11.09779 1.962478e-25 26.07811 7.555519e-25 17.34526 7.066944e-26 20.64109 0.0 0.002894 0.007571 0.002928 0.007658
2023-02-13 01:00:00.000 +01:00 0.013283 0.010654 0.025093 0.014936 0.017629 0.011113 0.002938 0.001852 0.003222 0.002031 0.003579 0.002256 0.039025 0.018941 0.001608 0.002298 0.002917 0.001089 0.002225 0.000830 0.011898 0.004440 0.015767 0.004865 0.014749 0.009495 0.056718 0.003664 0.057160 0.033617 165.7806 0.0 3.842942 5.327803e-27 64.19534 3.053230e-24 51.01035 3.572176e-24 83.9612 3.078732e-24 64.28724 5.502226e-24 43.0797 3.822408e-24 0.091011 0.003821 0.007750 0.002633 0.016859 0.006954 0.032090 0.015953 0.012674 0.009085 0.001860 0.003113 0.005459 0.008613 0.005434 0.008574 0.009505 0.013978 0.004034 0.005514 0.023673 0.023426 52.3749 2.170683e-26 13.53016 8.048731e-26 12.6086 2.142687e-26 10.49419 3.382087e-25 8.190004 3.390278e-25 13.37522 8.524764e-26 0.031764 0.030342 0.007550 0.003431 0.011253 0.007639 0.009336 0.008630 0.015429 0.008250 0.013414 0.008925 0.023058 0.010828 14.29888 0.000000e+00 6.310922 0.0 59.923 0.0 99.99299 0.0 14.00829 2.155315e-26 5.560995 1.357677e-27 17.37406 5.192259e-27 126.116 1.875575e-25 21.51779 0.0 0.027861 0.026260 0.038537 0.005036 0.129101 0.002774 0.016809 0.000045 42.03592 6.468936e-26 23.02995 1.704620e-24 117.7475 0.000000e+00 25.77541 0.000000e+00 18.48974 8.841090e-26 20.08946 8.529602e-26 20.21883 4.763323e-26 71.85966 0.0 24.84862 1.329217e-27 25.31222 3.308545e-26 30.19752 2.135992e-26 36.38173 8.337899e-26 34.99198 8.935195e-26 6.78462 2.116374e-26 33.2108 8.480371e-26 50.19061 3.301898e-25 47.19448 0.0 50.84296 1.382428e-24 50.56349 1.374829e-24 41.89281 0.0 9.602071 8.802342e-26 25.53992 0.0 0.010711 0.005364 0.011255 0.005636 0.019971 0.010001 0.016240 0.008133 0.015428 0.007726 35.89539 3.503724e-25 72.46398 3.464952e-25 71.66468 3.426732e-25 49.03616 0.0 54.56744 0.0 92.76953 0.0 0.022426 0.011945 0.018784 0.009672 0.018346 0.009129 0.029847 0.016901 0.005883 0.001747 0.004639 0.001377 0.005349 0.001589 0.007023 0.001500 0.024170 0.014424 0.008235 0.001935 0.002291 0.003404 0.001011 0.001501 0.001439 0.002139 0.013221 0.003242 0.039437 0.012302 0.022695 0.010945 0.005645 0.003656 0.003123 0.002790 0.003176 0.002838 0.002825 0.000901 0.003778 0.001591 0.041939 0.025023 0.027286 0.031907 0.013556 0.002356 0.032755 0.015463 0.120187 0.016696 0.029787 0.007404 0.003461 0.003682 0.002508 0.002668 0.003021 0.002380 0.028257 0.012704 76.11499 0.0 0.044766 0.021616 0.198516 0.005325 0.002612 0.000218 0.004324 0.000360 0.021509 0.001791 0.018319 0.002193 0.004395 0.000737 0.002738 0.000459 0.162539 0.003745 0.001846 0.000923 0.015261 0.015772 0.001728 0.000814 0.001787 0.000841 0.002722 0.000675 0.014217 0.003524 0.026766 0.002459 0.034400 0.007609 0.075256 0.023434 0.026752 0.025282 0.033609 0.005711 0.00941 0.014277 0.012629 0.010987 0.003993 0.013964 0.004990 0.011896 0.005167 0.006407 0.006188 0.006993 0.004334 0.007655 0.004110 0.007258 0.006365 0.005370 0.022683 0.015803 0.009986 0.006957 0.037527 0.006079 22.46283 8.803213e-26 11.13411 3.361425e-25 18.74616 1.364322e-24 27.98768 1.348187e-24 32.47894 3.437697e-25 63.81877 0.0 0.032015 0.014832 0.026397 0.013599 0.007729 0.002356 0.020752 0.008680 0.028053 0.012046 0.035126 0.013130 0.019297 0.008694 0.013369 0.002938 0.004788 0.002398 0.003901 0.001954 10.56986 1.001124e-14 14.57936 1.380885e-14 19.87988 1.882922e-14 24.45074 2.315827e-14 23.61157 2.236365e-14 50.96676 4.827314e-14 21.2934 3.398290e-25 16.31768 0.000000e+00 21.15114 8.470329e-26 6.620245 1.198788e-26 5.387928 0.0 11.07489 2.132729e-26 6.690278 0.000000e+00 21.84747 6.181438e-26 18.86606 0.000000e+00 26.74521 7.272065e-25 17.53896 7.547817e-25 15.2731 3.387909e-25 7.780674 0.000000e+00 35.01923 3.316806e-14 18.98862 1.798493e-14 14.42032 5.033799e-25 16.00222 7.657382e-25 40.99183 0.000000e+00 37.58163 1.937900e-25 3.547835 5.459788e-27 34.96974 2.003576e-26 105.8952 1.078617e-25 80.62691 3.355252e-22 36.44118 0.0 31.60874 5.412358e-27 0.046666 0.001475 0.037778 0.004246 0.015447 0.006193 0.005388 0.002698 0.004216 0.002111 18.81272 6.638742e-23 15.6488 0.000000e+00 0.027100 0.011043 45.47781 0.0 0.079724 0.033682 34.57665 0.0 8.426783 4.756933e-26 22.79576 8.529783e-26 33.26721 7.645298e-25 18.7625 3.384556e-25 14.43095 2.230933e-25 0.031798 0.005404 0.020523 0.018598 16.76996 1.004005e-24 0.004494 0.002250 0.001954 0.000979 0.002507 0.000800 ... 13.37522 2.603327e-24 0.032346 0.031222 0.007689 0.003542 0.011461 0.007862 0.009509 0.008860 0.015716 0.008488 0.013664 0.009167 0.023488 0.011116 14.29888 8.138992e-26 6.310922 0.0 59.923 2.004137e-26 99.99299 0.0 14.00829 5.208222e-27 5.560995 5.842652e-25 17.37406 2.117036e-24 126.116 2.230173e-26 21.51779 0.0 0.028383 0.026582 0.036283 0.006041 0.113927 0.003784 0.012952 0.000080 42.03592 1.905105e-25 23.02995 1.322820e-23 117.7475 0.000000e+00 25.77541 3.371093e-25 18.48974 0.0 20.08946 2.220325e-26 20.21883 5.148572e-27 71.85966 0.0 24.84862 1.196296e-26 25.31222 1.679232e-27 30.19752 2.030527e-26 36.38173 2.084475e-26 34.99198 0.000000e+00 6.78462 0.000000e+00 33.2108 2.120093e-26 50.19061 0.000000e+00 47.19448 0.0 50.84296 0.0 50.56349 0.000000e+00 41.89281 3.425513e-25 9.602071 0.000000e+00 25.53992 8.890487e-26 0.010912 0.005438 0.011466 0.005715 0.020344 0.010140 0.016544 0.008245 0.015716 0.007833 35.89539 7.633119e-25 72.46398 0.000000e+00 71.66468 0.000000e+00 49.03616 0.000000e+00 54.56744 0.0 92.76953 0.0 0.022842 0.012159 0.019133 0.009847 0.018104 0.009891 0.028119 0.020065 0.005440 0.002156 0.004290 0.001700 0.004947 0.001960 0.006423 0.001894 0.021405 0.019271 0.006303 0.003411 0.002366 0.003364 0.001043 0.001484 0.001486 0.002113 0.007866 0.012859 0.040650 0.012298 0.023355 0.010941 0.005750 0.003765 0.003181 0.002865 0.003235 0.002914 0.002877 0.000930 0.003848 0.001639 0.042719 0.025723 0.041660 0.011897 0.013807 0.002459 0.033362 0.015922 0.083694 0.048456 0.030335 0.007637 0.003853 0.003186 0.002792 0.002308 0.003398 0.002026 0.028774 0.013084 76.11499 0.0 0.045580 0.022365 0.201235 0.005630 0.002652 0.000228 0.004391 0.000377 0.021840 0.001874 0.018608 0.002286 0.004466 0.000766 0.004206 0.000173 0.165263 0.003926 0.001880 0.000949 0.015540 0.016175 0.001760 0.000840 0.001820 0.000868 0.002772 0.000700 0.014476 0.003655 0.027250 0.002579 0.035024 0.007899 0.076642 0.024345 0.027235 0.025787 0.034008 0.005901 0.009521 0.014481 0.012779 0.011176 0.004040 0.014130 0.005049 0.012061 0.005228 0.006518 0.006261 0.007118 0.004386 0.007785 0.004158 0.007382 0.006440 0.005483 0.022950 0.016188 0.010102 0.007125 0.037961 0.006277 22.46283 2.076865e-24 11.13411 0.000000e+00 18.74616 0.000000e+00 27.98768 3.370467e-25 32.47894 8.216519e-26 63.81877 0.0 0.032595 0.015500 0.026882 0.014026 0.007871 0.002435 0.021135 0.008946 0.021985 0.020292 0.035774 0.013544 0.019651 0.008976 0.013614 0.003050 0.004878 0.002431 0.003975 0.001981 10.56986 1.601794e-13 14.57936 2.209403e-13 19.87988 3.012663e-13 24.45074 3.705340e-13 23.61157 3.578169e-13 50.96676 7.723668e-13 21.2934 0.000000e+00 16.31768 8.414230e-26 21.15114 0.000000e+00 6.620245 2.245649e-25 5.387928 2.149698e-26 11.07489 8.530917e-26 6.690278 8.347781e-26 21.84747 2.991816e-25 18.86606 0.000000e+00 26.74521 3.337129e-25 17.53896 0.000000e+00 15.2731 8.469772e-26 7.780674 8.805733e-26 35.01923 5.306945e-13 18.98862 2.877601e-13 14.42032 1.354831e-24 16.00222 2.330839e-24 40.99183 6.096234e-24 37.58163 5.435956e-24 3.547835 1.034151e-24 34.96974 0.000000e+00 105.8952 0.0 80.62691 3.388584e-22 36.44118 0.0 31.60874 0.0 0.047522 0.001562 0.038480 0.004450 0.015735 0.006385 0.005489 0.002736 0.004294 0.002140 18.81272 7.631171e-23 15.6488 0.0 0.027604 0.011447 45.47781 0.0 0.081183 0.034896 34.57665 0.0 8.426783 2.095524e-26 22.79576 3.411913e-25 33.26721 1.341339e-24 18.7625 3.418150e-25 14.43095 1.602735e-25 0.032169 0.005581 0.020904 0.019149 16.76996 0.0 0.004578 0.002282 0.001991 0.000992 0.002553 0.000814 0.010334 0.005151 0.004458 0.002222 0.003134 0.001562 0.004147 0.004176 0.027056 0.008458 64.70937 0.000000e+00 80.91752 1.355253e-24 102.0578 2.956884e-24 47.21349 8.693646e-26 0.015104 0.007379 0.016708 0.002903 0.028125 0.004887 42.44363 6.859804e-22 12.77701 5.185884e-23 27.49709 4.145919e-24 5.377964 7.616563e-25 2.779566 7.785946e-25 2.251996 1.390716e-25 9.412791 1.038240e-24 3.21121 1.458254e-25 2.603956 6.693012e-27 5.753166 2.281439e-25 17.9649 4.708847e-26 0.086369 0.015729 0.017105 0.002286 0.014757 0.001854 26.05582 8.126151e-26 0.008369 0.004237 0.017097 0.009057 25.21477 2.158086e-26 13.48946 8.444945e-26 8.799599 0.000000e+00 11.09779 0.000000e+00 26.07811 8.134726e-26 17.34526 0.000000e+00 20.64109 0.0 0.002860 0.007742 0.002894 0.007831
2023-02-13 02:00:00.000 +01:00 0.013074 0.010982 0.024704 0.015388 0.017354 0.011451 0.002893 0.001909 0.003172 0.002093 0.003523 0.002325 0.038416 0.019516 0.001583 0.002369 0.002872 0.001121 0.002190 0.000855 0.011712 0.004574 0.015522 0.005012 0.014520 0.009781 0.055843 0.003769 0.056261 0.034641 165.7806 0.0 3.842942 8.185424e-26 64.19534 3.310239e-25 51.01035 5.278974e-25 83.9612 1.368325e-24 64.28724 3.073971e-25 43.0797 3.120333e-25 0.089602 0.003931 0.007628 0.002712 0.016594 0.007166 0.031586 0.016442 0.012474 0.009365 0.001831 0.003209 0.005373 0.008880 0.005348 0.008840 0.009356 0.014411 0.003970 0.005685 0.023301 0.024150 52.3749 4.140375e-21 13.53016 8.048731e-26 12.6086 5.305003e-25 10.49419 0.000000e+00 8.190004 1.356111e-24 13.37522 3.579056e-24 0.031266 0.031262 0.007431 0.003534 0.011076 0.007872 0.009189 0.008893 0.015186 0.008502 0.013202 0.009198 0.022693 0.011161 14.29888 3.255597e-25 6.310922 0.0 59.923 0.0 99.99299 0.0 14.00829 2.155315e-26 5.560995 1.300518e-27 17.37406 4.793622e-26 126.116 8.050924e-26 21.51779 0.0 0.027421 0.027080 0.037920 0.005191 0.127017 0.002858 0.016529 0.000047 42.03592 1.073386e-25 23.02995 1.768987e-21 117.7475 1.199340e-23 25.77541 1.348437e-24 18.48974 8.841090e-26 20.08946 7.572553e-25 20.21883 1.308685e-25 71.85966 0.0 24.84862 1.329217e-27 25.31222 1.323418e-27 30.19752 2.135992e-26 36.38173 2.084475e-26 34.99198 2.475123e-26 6.78462 2.116374e-26 33.2108 3.392148e-25 50.19061 5.262259e-25 47.19448 0.0 50.84296 1.382428e-24 50.56349 1.374829e-24 41.89281 0.0 9.602071 2.127844e-24 25.53992 0.0 0.010542 0.005531 0.011077 0.005812 0.019655 0.010313 0.015983 0.008387 0.015184 0.007967 35.89539 3.290576e-25 72.46398 3.332966e-25 71.66468 0.000000e+00 49.03616 0.0 54.56744 0.0 92.76953 0.0 0.022070 0.012317 0.018486 0.009973 0.018053 0.009414 0.029375 0.017421 0.005790 0.001800 0.004565 0.001420 0.005265 0.001637 0.006913 0.001546 0.023789 0.014864 0.008106 0.001993 0.002255 0.003510 0.000995 0.001548 0.001417 0.002205 0.013014 0.003342 0.038817 0.012680 0.022338 0.011283 0.005557 0.003767 0.003074 0.002875 0.003127 0.002924 0.002780 0.000928 0.003718 0.001639 0.041279 0.025786 0.026855 0.032897 0.013342 0.002427 0.032235 0.015938 0.118301 0.017199 0.029320 0.007628 0.003407 0.003794 0.002469 0.002750 0.002974 0.002452 0.027815 0.013087 76.11499 0.0 0.044072 0.022259 0.195276 0.005488 0.002570 0.000224 0.004255 0.000371 0.021163 0.001846 0.018025 0.002260 0.004325 0.000760 0.002694 0.000473 0.159947 0.003858 0.001818 0.000950 0.015023 0.016250 0.001701 0.000838 0.001759 0.000867 0.002680 0.000695 0.013996 0.003629 0.026351 0.002530 0.033866 0.007835 0.074080 0.024134 0.026322 0.026077 0.033081 0.005881 0.00926 0.014721 0.012429 0.011327 0.003929 0.014399 0.004911 0.012265 0.005085 0.006604 0.006090 0.007208 0.004266 0.007890 0.004045 0.007481 0.006265 0.005533 0.022330 0.016276 0.009830 0.007165 0.036944 0.006257 22.46283 7.922939e-25 11.13411 0.000000e+00 18.74616 0.000000e+00 27.98768 3.370467e-25 32.47894 3.437697e-25 63.81877 0.0 0.031524 0.015262 0.025985 0.014008 0.007608 0.002427 0.020427 0.008942 0.027616 0.012406 0.034573 0.013528 0.018994 0.008957 0.013160 0.003026 0.004712 0.002473 0.003840 0.002015 10.56986 1.001101e-14 14.57936 1.380858e-14 19.87988 1.882890e-14 24.45074 2.315800e-14 23.61157 2.236312e-14 50.96676 4.827238e-14 21.2934 7.592590e-25 16.31768 1.346277e-24 21.15114 7.623296e-25 6.620245 1.602559e-25 5.387928 0.0 11.07489 2.132729e-26 6.690278 8.347781e-26 21.84747 8.901271e-26 18.86606 0.000000e+00 26.74521 3.211211e-23 17.53896 2.167628e-23 15.2731 1.905699e-23 7.780674 8.457025e-24 35.01923 3.316975e-14 18.98862 1.798579e-14 14.42032 4.844703e-24 16.00222 4.150936e-24 40.99183 1.719123e-24 37.58163 3.043487e-24 3.547835 2.585376e-25 34.96974 8.014303e-26 105.8952 7.490393e-26 80.62691 3.483049e-22 36.44118 0.0 31.60874 1.365153e-25 0.045936 0.001518 0.037185 0.004371 0.015202 0.006383 0.005303 0.002782 0.004149 0.002177 18.81272 8.689762e-23 15.6488 0.000000e+00 0.026670 0.011379 45.47781 0.0 0.078487 0.034683 34.57665 0.0 8.426783 5.379443e-27 22.79576 7.676805e-25 33.26721 3.031352e-24 18.7625 3.384556e-25 14.43095 5.837866e-25 0.031298 0.005565 0.020197 0.019169 16.76996 1.071999e-23 0.004423 0.002321 0.001923 0.001009 0.002467 0.000824 ... 13.37522 2.164609e-26 0.031839 0.032157 0.007568 0.003648 0.011281 0.008098 0.009359 0.009128 0.015468 0.008744 0.013448 0.009444 0.023116 0.011454 14.29888 8.785036e-26 6.310922 0.0 59.923 2.004137e-26 99.99299 0.0 14.00829 5.208222e-27 5.560995 1.270921e-24 17.37406 4.148561e-24 126.116 2.230173e-26 21.51779 0.0 0.027934 0.027404 0.035700 0.006225 0.112079 0.003898 0.012736 0.000082 42.03592 2.116783e-26 23.02995 6.405961e-23 117.7475 1.469192e-24 25.77541 3.371093e-25 18.48974 0.0 20.08946 2.220325e-26 20.21883 5.586558e-27 71.85966 0.0 24.84862 1.196296e-26 25.31222 1.092795e-26 30.19752 3.375001e-25 36.38173 8.807549e-26 34.99198 8.019399e-26 6.78462 2.116374e-26 33.2108 5.300232e-25 50.19061 7.592545e-25 47.19448 0.0 50.84296 0.0 50.56349 3.662396e-25 41.89281 3.034365e-25 9.602071 0.000000e+00 25.53992 1.305226e-24 0.010739 0.005607 0.011284 0.005891 0.020022 0.010453 0.016282 0.008501 0.015467 0.008075 35.89539 5.431133e-27 72.46398 3.332966e-25 71.66468 1.318481e-24 49.03616 0.000000e+00 54.56744 0.0 92.76953 0.0 0.022479 0.012535 0.018829 0.010151 0.017816 0.010196 0.027676 0.020674 0.005355 0.002221 0.004222 0.001751 0.004869 0.002019 0.006322 0.001950 0.021070 0.019851 0.006206 0.003512 0.002328 0.003467 0.001027 0.001529 0.001463 0.002178 0.007743 0.013253 0.040011 0.012670 0.022988 0.011274 0.005660 0.003877 0.003131 0.002951 0.003184 0.003002 0.002832 0.000958 0.003787 0.001689 0.042047 0.026497 0.041000 0.012259 0.013588 0.002532 0.032833 0.016405 0.082373 0.049920 0.029860 0.007865 0.003793 0.003281 0.002748 0.002378 0.003345 0.002086 0.028325 0.013474 76.11499 0.0 0.044873 0.023023 0.197995 0.005799 0.002610 0.000234 0.004321 0.000388 0.021492 0.001930 0.018312 0.002355 0.004395 0.000789 0.004139 0.000178 0.162641 0.004042 0.001851 0.000978 0.015297 0.016659 0.001732 0.000864 0.001791 0.000894 0.002729 0.000720 0.014251 0.003762 0.026828 0.002653 0.034480 0.008130 0.075444 0.025062 0.026797 0.026588 0.033474 0.006074 0.009370 0.014928 0.012576 0.011519 0.003976 0.014567 0.004969 0.012432 0.005145 0.006717 0.006162 0.007335 0.004317 0.008022 0.004093 0.007606 0.006339 0.005648 0.022592 0.016669 0.009944 0.007336 0.037371 0.006460 22.46283 8.070851e-26 11.13411 3.361425e-25 18.74616 3.296165e-25 27.98768 3.370467e-25 32.47894 8.216519e-26 63.81877 0.0 0.032096 0.015944 0.026463 0.014442 0.007748 0.002507 0.020805 0.009213 0.021642 0.020897 0.035212 0.013950 0.019343 0.009244 0.013400 0.003141 0.004801 0.002506 0.003912 0.002042 10.56986 1.601792e-13 14.57936 2.209406e-13 19.87988 3.012669e-13 24.45074 3.705351e-13 23.61157 3.578183e-13 50.96676 7.723673e-13 21.2934 1.359316e-24 16.31768 3.365692e-25 21.15114 1.355570e-24 6.620245 2.245649e-25 5.387928 2.104679e-26 11.07489 0.000000e+00 6.690278 8.347781e-26 21.84747 0.000000e+00 18.86606 7.686561e-26 26.74521 3.003416e-24 17.53896 7.547817e-25 15.2731 3.387909e-25 7.780674 0.000000e+00 35.01923 5.306919e-13 18.98862 2.877589e-13 14.42032 1.357772e-24 16.00222 2.798916e-24 40.99183 8.478477e-24 37.58163 7.592369e-24 3.547835 1.039251e-24 34.96974 2.003576e-26 105.8952 0.0 80.62691 3.361904e-22 36.44118 0.0 31.60874 0.0 0.046779 0.001606 0.037876 0.004580 0.015485 0.006579 0.005402 0.002820 0.004226 0.002207 18.81272 8.681152e-23 15.6488 0.0 0.027165 0.011791 45.47781 0.0 0.079923 0.035920 34.57665 0.0 8.426783 2.095524e-26 22.79576 8.529783e-26 33.26721 0.000000e+00 18.7625 0.000000e+00 14.43095 1.114695e-24 0.031664 0.005745 0.020572 0.019731 16.76996 0.0 0.004505 0.002352 0.001959 0.001023 0.002513 0.000839 0.010171 0.005310 0.004387 0.002291 0.003084 0.001610 0.004081 0.004305 0.026628 0.008718 64.70937 3.388132e-25 80.91752 0.000000e+00 102.0578 0.000000e+00 47.21349 0.000000e+00 0.014869 0.007597 0.016448 0.002988 0.027688 0.005029 42.44363 7.165161e-22 12.77701 5.189308e-23 27.49709 9.328318e-24 5.377964 7.630026e-25 2.779566 7.466507e-25 2.251996 4.380058e-26 9.412791 2.127350e-26 3.21121 4.006781e-26 2.603956 6.693012e-27 5.753166 1.091184e-26 17.9649 5.368832e-27 0.085002 0.016207 0.016834 0.002355 0.014524 0.001910 26.05582 2.109667e-24 0.008237 0.004367 0.016826 0.009335 25.21477 0.000000e+00 13.48946 0.000000e+00 8.799599 8.521080e-26 11.09779 1.884764e-25 26.07811 3.410682e-25 17.34526 9.618897e-26 20.64109 0.0 0.002815 0.007985 0.002848 0.008074

3 rows × 1048 columns

We can access individual values as follows.

[25]:

df_pipes_2.loc[
    "2023-02-13 00:00:00.000 +01:00",
    ("5442010239090746007", slice(None), slice(None), "DTTR")
].item()

[25]:

0.0134368

Subcase 3: Specific Timestamps + Specific Values

We can specify the list of timestamps to include either as a list of str timestamps …

[26]:

(s3s.generate_element_results_dataframe(element_type=s3s.ObjectTypes.Pipe
                                        ,properties=["DTTR", "PHR"]
                                        ,timestamps=['2023-02-13 00:00:00.000 +01:00', '2023-02-13 05:00:00.000 +01:00', '2023-02-13 23:00:00.000 +01:00']
                                        )).head(3)

[2026-01-09 17:03:09,830] INFO in sir3stoolkit.mantle.dataframes: [results] Generating results dataframe for element type: ObjectTypes.Pipe
[2026-01-09 17:03:09,964] INFO in sir3stoolkit.mantle.dataframes: [Resolving Timestamps] 3 valid timestamp(s) will be used.
[2026-01-09 17:03:09,967] INFO in sir3stoolkit.mantle.dataframes: [Resolving tks] Retrieved 524 element(s) of element type ObjectTypes.Pipe.
[2026-01-09 17:03:09,972] INFO in sir3stoolkit.mantle.dataframes: [results] Using 2 result properties.
[2026-01-09 17:03:10,050] INFO in sir3stoolkit.mantle.dataframes: [results] Retrieving result values...
[2026-01-09 17:03:10,840] INFO in sir3stoolkit.mantle.dataframes: [results] Done. Shape: (3, 1048)

[26]:
tk 5442010239090746007 4917786378639043296 4762482310382009633 4987229536643024523 5722206630503885118 5089459212485379804 5526871502288882655 4809089329099085219 5170001087020228683 5625716875961234775 5501916898830363065 5192970129555982907 5027225217797463802 5107343838750080243 4840056338230495043 5700872284015490704 5290590848336792638 4781821593135991761 4770083637349644299 5140383994159421977 4615723899944629797 5485743457841402038 5061682782623660813 4868922965129592512 5253822763469470014 5468996363795343031 5339499657518903527 4811306899232458618 4928779983564758026 4965578769510488820 5600841315591171772 4995034655758156710 5209057104414292468 5726827761099671871 5080791944541542127 4996979568467922520 4893521402166887668 4943852467771545411 5294908835443772392 5407639481169980338 5494345815849234157 5559756735287401600 4688455252738739891 5120913591494019846 5189136483684313738 5027271755713739562 4843364651593046845 4763398616537422727 5211657964305638265 4899878437571936054 5017291090985710926 4968195666913259627 4872293615039533867 5073852406571450055 5460451359190976355 5680559127926603859 5701217076123185999 5343389149567015241 5004534437760811077 5638727652971481339 4933247170382646480 5144558095415012328 4676843093813396651 5238385499211955735 5431464167607748731 5021757307925561906 5735390708503613465 5602200558168325137 4976126317058169697 5611058499224570176 4951309552891536851 4734625425618016004 5003475594426980558 5199984776776235548 5146987453990281112 4664282009021425543 4730098385004060223 5143417057295500465 4870893641534242754 4751771958060245818 5431352512414392985 4756919352045195395 4950699445422043390 5443612009555325057 5130272059781459965 5030450908543536722 5425728209090108132 4897883139609927597 5385910423114382788 4815053638180850703 5520594566396266859 4822932207368532352 4943632133505495565 5136719248606301905 5222700144096421193 5209596079625295991 5215757535605464866 5089350764087843246 4922208128354560629 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timestamp
2023-02-13 00:00:00.000 +01:00 0.013437 0.010421 0.025380 0.014615 0.017832 0.010872 0.002972 0.001812 0.003259 0.001987 0.003620 0.002207 0.039475 0.018532 0.001627 0.002248 0.002951 0.001065 0.002250 0.000812 0.012035 0.004345 0.015949 0.004761 0.014919 0.009292 0.057364 0.003588 0.057824 0.032890 165.7806 0.0 3.842942 1.716550e-24 64.19534 1.348729e-24 51.01035 3.590149e-24 83.9612 2.910067e-24 64.28724 3.057601e-24 43.0797 2.808299e-24 0.092052 0.003743 0.007840 0.002577 0.017054 0.006804 0.032463 0.015606 0.012821 0.008887 0.001881 0.003044 0.005522 0.008423 0.005497 0.008385 0.009616 0.013670 0.004080 0.005393 0.023947 0.022913 52.3749 1.071175e-21 13.53016 8.613386e-26 12.6086 1.907738e-25 10.49419 3.382087e-25 8.190004 5.406732e-24 13.37522 1.080843e-23 0.032132 0.029689 0.007637 0.003357 0.011384 0.007474 0.009444 0.008443 0.015609 0.008072 0.013570 0.008731 0.023328 0.010592 14.29888 0.000000e+00 6.310922 0.0 59.923 0.0 99.99299 0.0 14.00829 1.040817e-24 5.560995 1.187491e-26 17.37406 1.318112e-25 126.116 1.806440e-26 21.51779 0.000000e+00 0.028187 0.025678 0.038993 0.004927 0.130641 0.002714 0.017016 0.000044 42.03592 6.468936e-26 23.02995 4.574885e-22 117.7475 1.332600e-24 25.77541 3.371093e-25 18.48974 7.554162e-25 20.08946 7.676642e-25 20.21883 4.763323e-26 71.85966 0.0 24.84862 3.323043e-26 25.31222 1.191076e-26 30.19752 1.922393e-25 36.38173 5.327634e-25 34.99198 7.761986e-25 6.78462 8.465496e-26 33.2108 3.392148e-25 50.19061 1.364690e-24 47.19448 0.0 50.84296 0.000000e+00 50.56349 1.374829e-24 41.89281 0.000000e+00 9.602071 8.320115e-26 25.53992 0.0 0.010837 0.005245 0.011387 0.005511 0.020205 0.009779 0.016430 0.007952 0.015608 0.007554 35.89539 3.267765e-25 72.46398 1.359455e-24 71.66468 1.318481e-24 49.03616 0.0 54.56744 0.0 92.76953 0.0 0.022689 0.011680 0.019005 0.009458 0.018562 0.008927 0.030196 0.016532 0.005952 0.001709 0.004693 0.001348 0.005412 0.001554 0.007105 0.001468 0.024451 0.014112 0.008330 0.001894 0.002318 0.003330 0.001022 0.001468 0.001456 0.002092 0.013375 0.003172 0.039895 0.012035 0.022959 0.010705 0.005711 0.003578 0.003159 0.002730 0.003213 0.002776 0.002857 0.000881 0.003821 0.001556 0.042426 0.024482 0.027605 0.031204 0.013715 0.002306 0.033139 0.015127 0.121580 0.016340 0.030131 0.007245 0.003501 0.003602 0.002537 0.002611 0.003056 0.002328 0.028583 0.012432 76.11499 0.0 0.045279 0.021159 0.200912 0.005209 0.002643 0.000213 0.004376 0.000352 0.021765 0.001752 0.018536 0.002145 0.004447 0.000721 0.002770 0.000449 0.164455 0.003665 0.001868 0.000903 0.015436 0.015433 0.001748 0.000796 0.001808 0.000823 0.002753 0.000660 0.014381 0.003450 0.027072 0.002408 0.034794 0.007449 0.076126 0.022937 0.027069 0.024719 0.033999 0.005591 0.009520 0.013961 0.012777 0.010746 0.004040 0.013655 0.005048 0.011634 0.005227 0.006267 0.006260 0.006840 0.004385 0.007488 0.004158 0.007100 0.006439 0.005254 0.022945 0.015467 0.010101 0.006809 0.037958 0.005952 22.46283 1.356824e-24 11.13411 0.000000e+00 18.74616 0.000000e+00 27.98768 0.000000e+00 32.47894 0.000000e+00 63.81877 0.0 0.032378 0.014526 0.026701 0.013308 0.007818 0.002306 0.020992 0.008493 0.028376 0.011790 0.035534 0.012847 0.019520 0.008508 0.013524 0.002875 0.004844 0.002345 0.003947 0.001910 10.56986 1.001124e-14 14.57936 1.380879e-14 19.87988 1.882914e-14 24.45074 2.315844e-14 23.61157 2.236373e-14 50.96676 4.827340e-14 21.2934 7.592590e-25 16.31768 7.572807e-25 21.15114 7.623296e-25 6.620245 3.288472e-26 5.387928 0.000000e+00 11.07489 2.132729e-26 6.690278 0.000000e+00 21.84747 8.901271e-26 18.86606 3.416249e-26 26.74521 5.516478e-25 17.53896 1.341834e-24 15.2731 1.355163e-24 7.780674 7.405621e-25 35.01923 3.316785e-14 18.98862 1.798485e-14 14.42032 1.625796e-26 16.00222 8.560002e-26 40.99183 1.024805e-23 37.58163 1.021212e-23 3.547835 1.192627e-24 34.96974 0.000000e+00 105.8952 7.490393e-26 80.62691 3.496503e-22 36.44118 0.0 31.60874 4.774695e-26 0.047206 0.001445 0.038217 0.004156 0.015629 0.006058 0.005451 0.002638 0.004265 0.002064 18.81272 8.667887e-23 15.6488 1.906363e-25 0.027419 0.010804 45.47781 0.0 0.080638 0.032971 34.57665 0.0 8.426783 4.756933e-26 22.79576 8.529783e-26 33.26721 8.494776e-26 18.7625 0.000000e+00 14.43095 1.602735e-25 0.032167 0.005290 0.020764 0.018192 16.76996 0.000000e+00 0.004546 0.002200 0.001977 0.000957 0.002536 0.000782 ... 13.37522 6.133660e-24 0.032720 0.030559 0.007778 0.003467 0.011594 0.007695 0.009619 0.008671 0.015899 0.008306 0.013823 0.008970 0.023763 0.010876 14.29888 0.000000e+00 6.310922 0.0 59.923 2.004137e-26 99.99299 0.0 14.00829 5.208222e-27 5.560995 2.977277e-25 17.37406 1.354632e-24 126.116 2.230173e-26 21.51779 0.0 0.028714 0.025998 0.036713 0.005910 0.115293 0.003702 0.013112 0.000078 42.03592 2.116783e-26 23.02995 1.547077e-23 117.7475 0.000000e+00 25.77541 3.371093e-25 18.48974 0.000000e+00 20.08946 2.220325e-26 20.21883 5.586558e-27 71.85966 0.0 24.84862 1.196296e-26 25.31222 1.092795e-26 30.19752 3.375001e-25 36.38173 0.000000e+00 34.99198 8.019399e-26 6.78462 2.116374e-26 33.2108 7.632334e-25 50.19061 1.353707e-24 47.19448 0.0 50.84296 0.000000e+00 50.56349 3.662396e-25 41.89281 5.320806e-24 9.602071 3.423812e-25 25.53992 8.743657e-26 0.011039 0.005319 0.011600 0.005589 0.020583 0.009917 0.016737 0.008065 0.015900 0.007661 35.89539 8.341093e-26 72.46398 3.332966e-25 71.66468 1.370693e-24 49.03616 3.333252e-25 54.56744 0.0 92.76953 0.0 0.023111 0.011893 0.019357 0.009632 0.018318 0.009675 0.028447 0.019633 0.005504 0.002110 0.004339 0.001664 0.005004 0.001918 0.006498 0.001853 0.021652 0.018859 0.006376 0.003340 0.002393 0.003291 0.001055 0.001452 0.001503 0.002068 0.007957 0.012579 0.041121 0.012033 0.023627 0.010704 0.005816 0.003685 0.003218 0.002804 0.003273 0.002852 0.002910 0.000911 0.003892 0.001605 0.043215 0.025173 0.042147 0.011640 0.013968 0.002407 0.033753 0.015579 0.084671 0.047416 0.030686 0.007475 0.003897 0.003118 0.002824 0.002259 0.003437 0.001983 0.029106 0.012807 76.11499 0.0 0.046102 0.021899 0.203629 0.005510 0.002683 0.000223 0.004443 0.000369 0.022098 0.001834 0.018827 0.002237 0.004518 0.000750 0.004256 0.000169 0.167200 0.003843 0.001902 0.000929 0.015718 0.015831 0.001780 0.000822 0.001841 0.000850 0.002803 0.000685 0.014642 0.003579 0.027562 0.002526 0.035425 0.007735 0.077527 0.023835 0.027558 0.025218 0.034402 0.005778 0.009633 0.014163 0.012929 0.010933 0.004087 0.013820 0.005108 0.011797 0.005289 0.006377 0.006334 0.006964 0.004437 0.007617 0.004207 0.007222 0.006515 0.005366 0.023215 0.015847 0.010218 0.006975 0.038396 0.006148 22.46283 2.108214e-24 11.13411 3.361425e-25 18.74616 3.296165e-25 27.98768 3.370467e-25 32.47894 8.594241e-26 63.81877 0.0 0.032964 0.015186 0.027192 0.013730 0.007962 0.002383 0.021380 0.008757 0.022239 0.019863 0.036189 0.013256 0.019879 0.008786 0.013771 0.002986 0.004935 0.002378 0.004021 0.001937 10.56986 1.601787e-13 14.57936 2.209403e-13 19.87988 3.012653e-13 24.45074 3.705344e-13 23.61157 3.578180e-13 50.96676 7.723678e-13 21.2934 3.398290e-25 16.31768 8.414230e-26 21.15114 8.483443e-26 6.620245 3.288472e-26 5.387928 2.104679e-26 11.07489 0.0 6.690278 8.347781e-26 21.84747 8.901271e-26 18.86606 1.921640e-26 26.74521 3.003416e-24 17.53896 2.161623e-24 15.2731 3.049118e-24 7.780674 3.348380e-25 35.01923 5.306936e-13 18.98862 2.877608e-13 14.42032 2.115087e-24 16.00222 4.316010e-25 40.99183 2.144482e-24 37.58163 2.105639e-24 3.547835 2.110511e-26 34.96974 0.000000e+00 105.8952 0.0 80.62691 3.361898e-22 36.44118 0.0 31.60874 0.0 0.048071 0.001530 0.038927 0.004358 0.015920 0.006248 0.005553 0.002676 0.004345 0.002093 18.81272 8.681118e-23 15.6488 0.0 0.027928 0.011203 45.47781 0.0 0.082113 0.034168 34.57665 0.0 8.426783 2.095524e-26 22.79576 3.411913e-25 33.26721 1.359164e-24 18.7625 7.615252e-25 14.43095 9.629093e-25 0.032542 0.005464 0.021149 0.018737 16.76996 0.0 0.004631 0.002231 0.002014 0.000970 0.002583 0.000796 0.010455 0.005038 0.004510 0.002173 0.003170 0.001528 0.004195 0.004084 0.027372 0.008274 64.70937 0.0 80.91752 1.355253e-24 102.0578 1.182754e-23 47.21349 5.428936e-24 0.015279 0.007224 0.016900 0.002843 0.028449 0.004785 42.44363 7.016279e-22 12.77701 5.189308e-23 27.49709 7.597578e-25 5.377964 3.388130e-25 2.779566 7.959043e-26 2.251996 4.369624e-26 9.412791 2.127350e-26 3.21121 8.308066e-27 2.603956 4.377348e-26 5.753166 3.474229e-26 17.9649 5.368832e-27 0.087379 0.015389 0.017305 0.002236 0.014930 0.001814 26.05582 4.146824e-24 0.008467 0.004144 0.017297 0.008859 25.21477 0.000000e+00 13.48946 8.444945e-26 8.799599 1.917243e-25 11.09779 1.962478e-25 26.07811 7.555519e-25 17.34526 7.066944e-26 20.64109 0.000000e+00 0.002894 0.007571 0.002928 0.007658
2023-02-13 05:00:00.000 +01:00 0.008582 0.024733 0.016282 0.034238 0.011407 0.025622 0.001901 0.004271 0.002085 0.004683 0.002315 0.005201 0.025257 0.043560 0.001041 0.005314 0.001889 0.002490 0.001440 0.001899 0.007704 0.010156 0.010211 0.011108 0.009559 0.021708 0.036863 0.008111 0.036897 0.077418 165.7806 0.0 3.842942 5.046208e-27 64.19534 3.310239e-25 51.01035 1.042422e-24 83.9612 1.368325e-24 64.28724 3.073971e-25 43.0797 3.120333e-25 0.059068 0.008449 0.005003 0.006019 0.010888 0.016004 0.020712 0.036899 0.008177 0.021090 0.001201 0.007273 0.003524 0.020115 0.003508 0.020023 0.006137 0.032622 0.002605 0.012860 0.015289 0.054495 52.3749 1.555228e-21 13.53016 8.048731e-26 12.6086 2.108267e-26 10.49419 3.407186e-25 8.190004 3.051250e-24 13.37522 6.854140e-24 0.020528 0.069637 0.004876 0.007856 0.007266 0.017565 0.006026 0.019906 0.009951 0.019018 0.008650 0.020620 0.014847 0.025095 14.29888 0.000000e+00 6.310922 0.0 59.923 0.0 99.99299 0.0 14.00829 1.896573e-25 5.560995 1.187491e-26 17.37406 5.192259e-27 126.116 8.050924e-26 21.51779 0.000000e+00 0.017954 0.061610 0.024670 0.011671 0.082252 0.006381 0.010547 0.000106 42.03592 6.468936e-26 23.02995 6.633533e-22 117.7475 1.469192e-24 25.77541 1.379979e-24 18.48974 8.174085e-26 20.08946 8.529602e-26 20.21883 1.330405e-25 71.85966 0.0 24.84862 3.323043e-26 25.31222 3.308545e-26 30.19752 2.135992e-26 36.38173 8.807549e-26 34.99198 3.388444e-25 6.78462 1.904737e-25 33.2108 1.908083e-25 50.19061 0.000000e+00 47.19448 0.0 50.84296 1.294678e-24 50.56349 1.374829e-24 41.89281 5.480821e-24 9.602071 2.103868e-24 25.53992 0.0 0.006896 0.012587 0.007246 0.013226 0.012857 0.023468 0.010455 0.019084 0.009932 0.018129 35.89539 3.267765e-25 72.46398 3.039009e-24 71.66468 3.426732e-25 49.03616 0.0 54.56744 0.0 92.76953 0.0 0.014413 0.028009 0.012073 0.022672 0.011766 0.021421 0.019227 0.039189 0.003792 0.004025 0.002990 0.003174 0.003448 0.003660 0.004528 0.003444 0.015596 0.033247 0.005328 0.004390 0.001481 0.007931 0.000653 0.003498 0.000930 0.004982 0.008543 0.007483 0.025469 0.028467 0.014646 0.025443 0.003649 0.008384 0.002018 0.006419 0.002052 0.006529 0.001825 0.002061 0.002439 0.003650 0.027071 0.057643 0.017585 0.074492 0.008730 0.005360 0.021077 0.035765 0.077636 0.038059 0.019257 0.016933 0.002238 0.008490 0.001622 0.006152 0.001954 0.005472 0.018286 0.029045 76.11499 0.0 0.029036 0.048960 0.126314 0.012298 0.001671 0.000503 0.002766 0.000832 0.013757 0.004140 0.011730 0.005074 0.002817 0.001708 0.001755 0.001064 0.104353 0.008550 0.001195 0.002111 0.009882 0.036184 0.001119 0.001852 0.001158 0.001916 0.001764 0.001526 0.009214 0.007971 0.017369 0.005478 0.022308 0.017173 0.048680 0.053152 0.017089 0.059821 0.021703 0.012885 0.006051 0.033383 0.008126 0.025555 0.002570 0.032704 0.003213 0.027763 0.003329 0.014858 0.003988 0.016201 0.002796 0.017726 0.002651 0.016807 0.004109 0.012337 0.014684 0.035952 0.006464 0.015826 0.024331 0.013599 22.46283 8.164298e-26 11.13411 0.000000e+00 18.74616 3.296165e-25 27.98768 3.370467e-25 32.47894 3.437697e-25 63.81877 0.0 0.020852 0.032986 0.017089 0.031028 0.004999 0.005376 0.013417 0.019871 0.018162 0.027352 0.022676 0.030116 0.012465 0.019897 0.008638 0.006678 0.003083 0.005627 0.002512 0.004585 10.56986 1.001130e-14 14.57936 1.380885e-14 19.87988 1.882922e-14 24.45074 2.315844e-14 23.61157 2.236365e-14 50.96676 4.827302e-14 21.2934 8.317810e-26 16.31768 0.000000e+00 21.15114 0.000000e+00 6.620245 1.198788e-26 5.387928 0.000000e+00 11.07489 2.132729e-26 6.690278 8.347781e-26 21.84747 2.991816e-25 18.86606 0.000000e+00 26.74521 2.125622e-24 17.53896 1.341834e-24 15.2731 3.387909e-25 7.780674 0.000000e+00 35.01923 3.316796e-14 18.98862 1.798485e-14 14.42032 1.746141e-25 16.00222 8.560002e-26 40.99183 3.351841e-25 37.58163 3.445156e-25 3.547835 5.276278e-27 34.96974 0.000000e+00 105.8952 0.000000e+00 80.62691 3.220048e-22 36.44118 0.0 31.60874 4.774695e-26 0.030179 0.003276 0.024399 0.009568 0.009935 0.014319 0.003469 0.006332 0.002714 0.004954 18.81272 8.689769e-23 15.6488 0.000000e+00 0.017428 0.025398 45.47781 0.0 0.051701 0.076227 34.57665 0.0 8.426783 5.100040e-27 22.79576 7.565950e-25 33.26721 3.397910e-25 18.7625 3.384556e-25 14.43095 4.772193e-25 0.020533 0.012190 0.013198 0.043085 16.76996 8.466539e-26 0.002893 0.005281 0.001258 0.002296 0.001615 0.001866 ... 13.37522 2.529093e-24 0.020906 0.070947 0.004966 0.008029 0.007400 0.017899 0.006138 0.020238 0.010136 0.019373 0.008811 0.020973 0.015123 0.025517 14.29888 0.000000e+00 6.310922 0.0 59.923 2.004137e-26 99.99299 0.0 14.00829 5.208222e-27 5.560995 3.178204e-24 17.37406 1.024645e-23 126.116 2.230173e-26 21.51779 0.0 0.018290 0.061885 0.023205 0.013914 0.072509 0.008669 0.008141 0.000184 42.03592 2.148259e-26 23.02995 1.624845e-21 117.7475 1.199340e-23 25.77541 1.348437e-24 18.48974 3.335354e-25 20.08946 2.046252e-26 20.21883 5.586558e-27 71.85966 0.0 24.84862 1.196296e-26 25.31222 3.477989e-26 30.19752 0.000000e+00 36.38173 1.876027e-25 34.99198 2.475123e-26 6.78462 0.000000e+00 33.2108 2.120093e-26 50.19061 8.256394e-26 47.19448 0.0 50.84296 0.000000e+00 50.56349 0.000000e+00 41.89281 3.425513e-25 9.602071 0.000000e+00 25.53992 8.743657e-26 0.007024 0.012662 0.007381 0.013305 0.013097 0.023608 0.010650 0.019198 0.010117 0.018237 35.89539 5.198812e-25 72.46398 3.332966e-25 71.66468 3.426732e-25 49.03616 0.000000e+00 54.56744 0.0 92.76953 0.0 0.014680 0.028270 0.012296 0.022888 0.011619 0.022988 0.018141 0.046047 0.003513 0.004915 0.002770 0.003875 0.003194 0.004469 0.004149 0.004302 0.013845 0.043946 0.004094 0.007662 0.001529 0.007767 0.000674 0.003426 0.000961 0.004879 0.005084 0.029736 0.026259 0.028185 0.015075 0.025199 0.003717 0.008547 0.002055 0.006528 0.002091 0.006640 0.001858 0.002108 0.002485 0.003726 0.027575 0.058676 0.026825 0.027331 0.008892 0.005536 0.021468 0.036464 0.053924 0.110877 0.019613 0.017299 0.002492 0.007259 0.001806 0.005260 0.002199 0.004600 0.018623 0.029626 76.11499 0.0 0.029568 0.050150 0.128456 0.012809 0.001700 0.000519 0.002814 0.000859 0.013999 0.004272 0.011938 0.005220 0.002867 0.001752 0.002700 0.000391 0.106233 0.008861 0.001217 0.002151 0.010063 0.036757 0.001140 0.001893 0.001179 0.001957 0.001796 0.001567 0.009383 0.008186 0.017686 0.005688 0.022716 0.017651 0.049580 0.054644 0.017395 0.060463 0.021960 0.013213 0.006123 0.033649 0.008222 0.025826 0.002600 0.032896 0.003251 0.027973 0.003369 0.015016 0.004035 0.016381 0.002829 0.017908 0.002682 0.016980 0.004158 0.012511 0.014857 0.036563 0.006540 0.016094 0.024614 0.013945 22.46283 8.703624e-26 11.13411 0.000000e+00 18.74616 0.000000e+00 27.98768 3.370467e-25 32.47894 8.216519e-26 63.81877 0.0 0.021233 0.034099 0.017405 0.031686 0.005091 0.005500 0.013665 0.020281 0.014228 0.045979 0.023096 0.030761 0.012696 0.020338 0.008797 0.006864 0.003140 0.005660 0.002559 0.004612 10.56986 1.601792e-13 14.57936 2.209406e-13 19.87988 3.012663e-13 24.45074 3.705344e-13 23.61157 3.578180e-13 50.96676 7.723678e-13 21.2934 7.592590e-25 16.31768 3.365692e-25 21.15114 1.355570e-24 6.620245 3.288472e-26 5.387928 2.104679e-26 11.07489 0.0 6.690278 3.419088e-25 21.84747 0.000000e+00 18.86606 7.686561e-26 26.74521 2.125622e-24 17.53896 2.096616e-24 15.2731 7.622794e-25 7.780674 3.348380e-25 35.01923 5.306928e-13 18.98862 2.877595e-13 14.42032 3.387078e-25 16.00222 1.189204e-24 40.99183 2.592197e-23 37.58163 2.039686e-23 3.547835 2.117795e-24 34.96974 2.003576e-26 105.8952 0.0 80.62691 3.415578e-22 36.44118 0.0 31.60874 0.0 0.030736 0.003433 0.024853 0.009923 0.010120 0.014618 0.003533 0.006369 0.002765 0.004983 18.81272 8.659940e-23 15.6488 0.0 0.017752 0.026051 45.47781 0.0 0.052653 0.078171 34.57665 0.0 8.426783 2.095524e-26 22.79576 8.529783e-26 33.26721 8.494776e-26 18.7625 0.000000e+00 14.43095 5.837866e-25 0.020773 0.012497 0.013443 0.043912 16.76996 0.0 0.002947 0.005312 0.001282 0.002310 0.001645 0.001884 0.006653 0.011992 0.002870 0.005173 0.002017 0.003637 0.002672 0.009729 0.017432 0.019575 64.70937 0.0 80.91752 3.388132e-25 102.0578 1.663247e-24 47.21349 3.419750e-25 0.009775 0.016620 0.010824 0.006462 0.018221 0.010878 42.44363 6.859804e-22 12.77701 5.185884e-23 27.49709 1.120308e-23 5.377964 1.355252e-24 2.779566 7.785946e-25 2.251996 1.390716e-25 9.412791 1.905699e-25 3.21121 1.458254e-25 2.603956 6.693012e-27 5.753166 1.095352e-26 17.9649 5.368832e-27 0.055606 0.036134 0.011015 0.005235 0.009503 0.004245 26.05582 2.110089e-24 0.005387 0.009818 0.011003 0.020997 25.21477 2.158086e-26 13.48946 8.444945e-26 8.799599 2.130270e-26 11.09779 0.000000e+00 26.07811 2.231977e-26 17.34526 9.618897e-26 20.64109 0.000000e+00 0.001839 0.018179 0.001861 0.018278
2023-02-13 23:00:00.000 +01:00 0.012623 0.011749 0.023859 0.016444 0.016756 0.012244 0.002793 0.002041 0.003063 0.002238 0.003401 0.002485 0.037095 0.020862 0.001529 0.002533 0.002773 0.001198 0.002115 0.000914 0.011310 0.004887 0.014989 0.005354 0.014022 0.010450 0.053944 0.004016 0.054312 0.037035 165.7806 0.0 3.842942 1.233485e-24 64.19534 3.433975e-25 51.01035 1.717848e-24 83.9612 3.078732e-24 64.28724 3.057601e-24 43.0797 1.950208e-24 0.086543 0.004188 0.007364 0.002898 0.016020 0.007661 0.030491 0.017585 0.012041 0.010019 0.001767 0.003435 0.005187 0.009506 0.005163 0.009462 0.009032 0.015425 0.003833 0.006084 0.022495 0.025841 52.3749 4.777743e-21 13.53016 8.613386e-26 12.6086 5.305003e-25 10.49419 3.407186e-25 8.190004 3.051250e-24 13.37522 1.939846e-25 0.030186 0.033411 0.007174 0.003777 0.010693 0.008414 0.008871 0.009509 0.014659 0.009091 0.012744 0.009837 0.021902 0.011939 14.29888 3.371437e-25 6.310922 0.0 59.923 0.0 99.99299 0.0 14.00829 0.000000e+00 5.560995 1.357677e-27 17.37406 5.393882e-27 126.116 1.875575e-25 21.51779 2.191737e-26 0.026467 0.028999 0.036583 0.005552 0.122498 0.003055 0.015923 0.000050 42.03592 6.468936e-26 23.02995 2.181941e-21 117.7475 1.679409e-23 25.77541 3.033984e-24 18.48974 8.841090e-26 20.08946 7.572553e-25 20.21883 4.763323e-26 71.85966 0.0 24.84862 1.329217e-27 25.31222 1.323418e-27 30.19752 2.135992e-26 36.38173 2.084475e-26 34.99198 8.935195e-26 6.78462 0.000000e+00 33.2108 2.120093e-26 50.19061 2.271663e-26 47.19448 0.0 50.84296 0.000000e+00 50.56349 1.374829e-24 41.89281 1.290790e-24 9.602071 7.631413e-25 25.53992 0.0 0.010174 0.005924 0.010691 0.006224 0.018969 0.011044 0.015426 0.008981 0.014654 0.008532 35.89539 3.527767e-25 72.46398 3.332966e-25 71.66468 0.000000e+00 49.03616 0.0 54.56744 0.0 92.76953 0.0 0.021297 0.013189 0.017839 0.010679 0.017419 0.010080 0.028351 0.018637 0.005589 0.001925 0.004407 0.001518 0.005082 0.001750 0.006672 0.001652 0.022964 0.015893 0.007827 0.002128 0.002177 0.003756 0.000960 0.001657 0.001368 0.002360 0.012564 0.003573 0.037473 0.013563 0.021563 0.012073 0.005365 0.004026 0.002968 0.003073 0.003019 0.003126 0.002684 0.000991 0.003590 0.001752 0.039849 0.027568 0.025921 0.035213 0.012877 0.002592 0.031109 0.017047 0.114211 0.018371 0.028309 0.008150 0.003289 0.004057 0.002383 0.002940 0.002871 0.002621 0.026858 0.013982 76.11499 0.0 0.042565 0.023762 0.188262 0.005870 0.002479 0.000240 0.004104 0.000397 0.020413 0.001975 0.017388 0.002418 0.004172 0.000813 0.002599 0.000506 0.154330 0.004122 0.001755 0.001015 0.014507 0.017366 0.001643 0.000895 0.001699 0.000926 0.002588 0.000742 0.013516 0.003873 0.025451 0.002697 0.032707 0.008361 0.071528 0.025767 0.025390 0.027938 0.031936 0.006277 0.008936 0.015760 0.011994 0.012120 0.003792 0.015417 0.004740 0.013128 0.004908 0.007065 0.005878 0.007710 0.004118 0.008439 0.003905 0.008002 0.006048 0.005914 0.021562 0.017382 0.009492 0.007652 0.035680 0.006673 22.46283 4.268130e-24 11.13411 1.344570e-24 18.74616 0.000000e+00 27.98768 3.370467e-25 32.47894 3.437697e-25 63.81877 0.0 0.030458 0.016265 0.025092 0.014963 0.007346 0.002593 0.019722 0.009555 0.026667 0.013247 0.033376 0.014458 0.018337 0.009571 0.012705 0.003231 0.004548 0.002648 0.003706 0.002158 10.56986 1.001101e-14 14.57936 1.380865e-14 19.87988 1.882899e-14 24.45074 2.315835e-14 23.61157 2.236347e-14 50.96676 4.827263e-14 21.2934 1.359316e-24 16.31768 2.134837e-24 21.15114 7.623296e-25 6.620245 3.288472e-26 5.387928 8.463556e-26 11.07489 2.132729e-26 6.690278 0.000000e+00 21.84747 2.991816e-25 18.86606 3.416249e-26 26.74521 1.318506e-23 17.53896 8.386463e-24 15.2731 6.860515e-24 7.780674 3.065275e-24 35.01923 3.316902e-14 18.98862 1.798540e-14 14.42032 3.648389e-24 16.00222 4.150936e-24 40.99183 8.379603e-26 37.58163 1.937900e-25 3.547835 5.276278e-27 34.96974 8.929517e-26 105.8952 0.000000e+00 80.62691 3.315349e-22 36.44118 0.0 31.60874 1.365174e-25 0.044353 0.001618 0.035899 0.004665 0.014670 0.006827 0.005118 0.002980 0.004004 0.002331 18.81272 8.689763e-23 15.6488 0.000000e+00 0.025736 0.012165 45.47781 0.0 0.075801 0.037022 34.57665 0.0 8.426783 5.379443e-27 22.79576 7.565950e-25 33.26721 1.359164e-24 18.7625 1.353823e-24 14.43095 5.837866e-25 0.030215 0.005939 0.019490 0.020506 16.76996 4.299126e-24 0.004268 0.002485 0.001856 0.001081 0.002381 0.000882 ... 13.37522 1.873481e-25 0.030740 0.034340 0.007307 0.003895 0.010891 0.008650 0.009035 0.009752 0.014931 0.009341 0.012981 0.010091 0.022309 0.012243 14.29888 8.785053e-26 6.310922 0.0 59.923 2.004137e-26 99.99299 0.0 14.00829 5.208222e-27 5.560995 1.598605e-25 17.37406 3.386581e-25 126.116 2.230173e-26 21.51779 0.0 0.026962 0.029326 0.034437 0.006656 0.108074 0.004166 0.012268 0.000088 42.03592 1.905105e-25 23.02995 1.878140e-25 117.7475 0.000000e+00 25.77541 0.000000e+00 18.48974 3.401727e-25 20.08946 2.046252e-26 20.21883 5.586558e-27 71.85966 0.0 24.84862 1.187250e-26 25.31222 1.679232e-27 30.19752 8.331704e-26 36.38173 0.000000e+00 34.99198 8.935195e-26 6.78462 2.116374e-26 33.2108 1.023282e-24 50.19061 1.714827e-24 47.19448 0.0 50.84296 3.682639e-25 50.56349 0.000000e+00 41.89281 1.370205e-24 9.602071 3.328046e-25 25.53992 8.743657e-26 0.010364 0.006000 0.010891 0.006305 0.019324 0.011187 0.015714 0.009097 0.014928 0.008642 35.89539 3.313467e-25 72.46398 0.000000e+00 71.66468 3.168207e-25 49.03616 3.333252e-25 54.56744 0.0 92.76953 0.0 0.021693 0.013412 0.018170 0.010861 0.017191 0.010909 0.026716 0.022098 0.005169 0.002372 0.004076 0.001871 0.004700 0.002157 0.006104 0.002083 0.020343 0.021206 0.005994 0.003746 0.002248 0.003708 0.000991 0.001635 0.001412 0.002329 0.007475 0.014174 0.038627 0.013541 0.022191 0.012054 0.005464 0.004140 0.003023 0.003152 0.003074 0.003206 0.002734 0.001023 0.003656 0.001803 0.040590 0.028306 0.039571 0.013104 0.013114 0.002702 0.031686 0.017532 0.079507 0.053341 0.028830 0.008397 0.003662 0.003505 0.002654 0.002540 0.003230 0.002228 0.027351 0.014384 76.11499 0.0 0.043339 0.024556 0.190972 0.006193 0.002518 0.000250 0.004169 0.000414 0.020736 0.002062 0.017669 0.002516 0.004241 0.000843 0.003994 0.000190 0.156957 0.004315 0.001787 0.001044 0.014772 0.017789 0.001673 0.000922 0.001730 0.000954 0.002635 0.000768 0.013763 0.004013 0.025912 0.002826 0.033301 0.008670 0.072846 0.026736 0.025848 0.028463 0.032315 0.006479 0.009042 0.015973 0.012137 0.012319 0.003837 0.015589 0.004796 0.013300 0.004966 0.007182 0.005948 0.007841 0.004167 0.008576 0.003951 0.008131 0.006119 0.006034 0.021815 0.017791 0.009603 0.007830 0.036092 0.006885 22.46283 8.070851e-26 11.13411 0.000000e+00 18.74616 0.000000e+00 27.98768 3.370467e-25 32.47894 8.216519e-26 63.81877 0.0 0.031011 0.016977 0.025554 0.015415 0.007481 0.002676 0.020087 0.009837 0.020898 0.022310 0.033992 0.014897 0.018674 0.009869 0.012937 0.003351 0.004633 0.002682 0.003775 0.002185 10.56986 1.601792e-13 14.57936 2.209400e-13 19.87988 3.012656e-13 24.45074 3.705337e-13 23.61157 3.578166e-13 50.96676 7.723658e-13 21.2934 3.398290e-25 16.31768 8.414230e-26 21.15114 0.000000e+00 6.620245 1.198788e-26 5.387928 2.149698e-26 11.07489 0.0 6.690278 8.347781e-26 21.84747 2.991816e-25 18.86606 0.000000e+00 26.74521 1.018240e-23 17.53896 8.386463e-24 15.2731 6.860515e-24 7.780674 3.065275e-24 35.01923 5.306957e-13 18.98862 2.877617e-13 14.42032 1.354831e-24 16.00222 4.281133e-25 40.99183 5.361206e-25 37.58163 5.383056e-25 3.547835 2.110511e-26 34.96974 2.003576e-26 105.8952 0.0 80.62691 3.335332e-22 36.44118 0.0 31.60874 0.0 0.045167 0.001711 0.036566 0.004884 0.014943 0.007031 0.005213 0.003018 0.004079 0.002361 18.81272 8.659533e-23 15.6488 0.0 0.026215 0.012595 45.47781 0.0 0.077190 0.038310 34.57665 0.0 8.426783 2.095524e-26 22.79576 0.000000e+00 33.26721 8.494776e-26 18.7625 8.461391e-26 14.43095 2.230933e-25 0.030568 0.006128 0.019852 0.021088 16.76996 0.0 0.004348 0.002517 0.001891 0.001095 0.002426 0.000897 0.009816 0.005682 0.004234 0.002451 0.002977 0.001723 0.003939 0.004607 0.025701 0.009325 64.70937 0.0 80.91752 0.000000e+00 102.0578 7.392210e-25 47.21349 0.000000e+00 0.014357 0.008107 0.015883 0.003185 0.026738 0.005361 42.44363 7.165161e-22 12.77701 5.619025e-23 27.49709 2.144340e-26 5.377964 0.000000e+00 2.779566 7.959043e-26 2.251996 4.380058e-26 9.412791 1.905699e-25 3.21121 8.308066e-27 2.603956 6.693012e-27 5.753166 2.281439e-25 17.9649 5.368832e-27 0.082039 0.017324 0.016248 0.002517 0.014018 0.002041 26.05582 1.026496e-23 0.007949 0.004672 0.016239 0.009987 25.21477 2.158086e-26 13.48946 2.146868e-26 8.799599 0.000000e+00 11.09779 1.884764e-25 26.07811 5.378880e-25 17.34526 0.000000e+00 20.64109 2.102439e-26 0.002716 0.008551 0.002748 0.008642

3 rows × 1048 columns

… or as a list of int indices.

[27]:

simulation_timestamps=s3s.GetTimeStamps()[0]

[28]:

for idx, timestamp in enumerate(simulation_timestamps):
    print(idx, timestamp)

0 2023-02-13 00:00:00.000 +01:00
1 2023-02-13 01:00:00.000 +01:00
2 2023-02-13 02:00:00.000 +01:00
3 2023-02-13 03:00:00.000 +01:00
4 2023-02-13 04:00:00.000 +01:00
5 2023-02-13 05:00:00.000 +01:00
6 2023-02-13 06:00:00.000 +01:00
7 2023-02-13 07:00:00.000 +01:00
8 2023-02-13 08:00:00.000 +01:00
9 2023-02-13 09:00:00.000 +01:00
10 2023-02-13 10:00:00.000 +01:00
11 2023-02-13 11:00:00.000 +01:00
12 2023-02-13 12:00:00.000 +01:00
13 2023-02-13 13:00:00.000 +01:00
14 2023-02-13 14:00:00.000 +01:00
15 2023-02-13 15:00:00.000 +01:00
16 2023-02-13 16:00:00.000 +01:00
17 2023-02-13 17:00:00.000 +01:00
18 2023-02-13 18:00:00.000 +01:00
19 2023-02-13 19:00:00.000 +01:00
20 2023-02-13 20:00:00.000 +01:00
21 2023-02-13 21:00:00.000 +01:00
22 2023-02-13 22:00:00.000 +01:00
23 2023-02-13 23:00:00.000 +01:00
24 2023-02-14 00:00:00.000 +01:00

[29]:

(s3s.generate_element_results_dataframe(element_type=s3s.ObjectTypes.Pipe
                                        ,properties=["DTTR", "PHR"]
                                        ,timestamps=[0, 5, -2]
                                        )).head(3)

[2026-01-09 17:03:12,269] INFO in sir3stoolkit.mantle.dataframes: [results] Generating results dataframe for element type: ObjectTypes.Pipe
[2026-01-09 17:03:12,517] INFO in sir3stoolkit.mantle.dataframes: [Resolving Timestamps] 3 valid timestamp(s) will be used.
[2026-01-09 17:03:12,526] INFO in sir3stoolkit.mantle.dataframes: [Resolving tks] Retrieved 524 element(s) of element type ObjectTypes.Pipe.
[2026-01-09 17:03:12,530] INFO in sir3stoolkit.mantle.dataframes: [results] Using 2 result properties.
[2026-01-09 17:03:12,586] INFO in sir3stoolkit.mantle.dataframes: [results] Retrieving result values...
[2026-01-09 17:03:13,417] INFO in sir3stoolkit.mantle.dataframes: [results] Done. Shape: (3, 1048)

[29]:
tk 5442010239090746007 4917786378639043296 4762482310382009633 4987229536643024523 5722206630503885118 5089459212485379804 5526871502288882655 4809089329099085219 5170001087020228683 5625716875961234775 5501916898830363065 5192970129555982907 5027225217797463802 5107343838750080243 4840056338230495043 5700872284015490704 5290590848336792638 4781821593135991761 4770083637349644299 5140383994159421977 4615723899944629797 5485743457841402038 5061682782623660813 4868922965129592512 5253822763469470014 5468996363795343031 5339499657518903527 4811306899232458618 4928779983564758026 4965578769510488820 5600841315591171772 4995034655758156710 5209057104414292468 5726827761099671871 5080791944541542127 4996979568467922520 4893521402166887668 4943852467771545411 5294908835443772392 5407639481169980338 5494345815849234157 5559756735287401600 4688455252738739891 5120913591494019846 5189136483684313738 5027271755713739562 4843364651593046845 4763398616537422727 5211657964305638265 4899878437571936054 5017291090985710926 4968195666913259627 4872293615039533867 5073852406571450055 5460451359190976355 5680559127926603859 5701217076123185999 5343389149567015241 5004534437760811077 5638727652971481339 4933247170382646480 5144558095415012328 4676843093813396651 5238385499211955735 5431464167607748731 5021757307925561906 5735390708503613465 5602200558168325137 4976126317058169697 5611058499224570176 4951309552891536851 4734625425618016004 5003475594426980558 5199984776776235548 5146987453990281112 4664282009021425543 4730098385004060223 5143417057295500465 4870893641534242754 4751771958060245818 5431352512414392985 4756919352045195395 4950699445422043390 5443612009555325057 5130272059781459965 5030450908543536722 5425728209090108132 4897883139609927597 5385910423114382788 4815053638180850703 5520594566396266859 4822932207368532352 4943632133505495565 5136719248606301905 5222700144096421193 5209596079625295991 5215757535605464866 5089350764087843246 4922208128354560629 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name Rohr V-K03S V-K13S Rohr V-K13S V-K23S Rohr V-K23S V-K33S Rohr V-K33S V-K43S Rohr V-K43S V-K53S Rohr V-K53S V-K63S Rohr V-K63S V-K73S Rohr V-K73S V-K83S Rohr V-K83S V-K93S Rohr V-K93S V-K103S Rohr V-K103S V-K113S Rohr V-K113S V-K123S Rohr V-K123S V-K133S Rohr V-K133S V-K143S Rohr V-K153S V-K163S Rohr V-K163S V-K143S Rohr V-K143S V-K173S Rohr V-K173S V-K183S Rohr V-K183S V-K193S Rohr V-K193S V-K203S Rohr V-K203S V-K213S Rohr V-K213S V-K223S Rohr V-K233S V-K243S Rohr V-K243S V-K253S Rohr V-K253S V-K263S Rohr V-K263S V-K273S Rohr V-K273S V-K153S Rohr V-K283S V-K293S Rohr V-K293S V-K303S Rohr V-K303S V-K313S Rohr V-K313S V-K323S Rohr V-K323S V-K333S Rohr V-K333S V-K03S Rohr V-K03S V-K343S Rohr V-K353S V-K363S Rohr V-K363S V-K373S Rohr V-K373S V-K383S Rohr V-K383S V-K393S Rohr V-K393S V-K403S Rohr V-K403S V-K413S Rohr V-K413S V-K423S Rohr V-K423S V-K433S Rohr V-K433S V-K443S Rohr V-K443S V-K453S Rohr V-K453S V-K463S Rohr V-K463S V-K473S Rohr V-K423S V-K483S Rohr V-K483S V-K493S Rohr V-K493S V-K503S Rohr V-K503S V-K513S Rohr V-K513S V-K523S Rohr V-K523S V-K533S Rohr V-K533S V-K543S Rohr V-K543S V-K553S Rohr V-K553S V-K563S Rohr V-K573S V-K583S Rohr V-K153S V-K593S Rohr V-K593S V-K603S Rohr V-K603S V-K283S Rohr V-K353S V-K613S Rohr V-K343S V-K623S Rohr V-K623S V-K633S Rohr V-K633S V-K643S Rohr V-K643S V-K653S Rohr V-K653S V-K663S Rohr V-K663S V-K673S Rohr V-K673S V-K683S Rohr V-K683S V-K693S Rohr V-K693S V-K703S Rohr V-K703S V-K713S Rohr V-K713S V-K723S Rohr V-K723S V-K733S Rohr V-K733S V-K743S Rohr V-K743S V-K753S Rohr V-K753S V-K763S Rohr V-K223S V-K773S Rohr V-K783S V-K793S Rohr V-K793S V-K803S Rohr V-K803S V-K813S Rohr V-K813S V-K823S Rohr V-K823S V-K833S Rohr V-K833S V-K843S Rohr V-K843S V-K853S Rohr V-K853S V-K863S Rohr V-K863S V-K873S Rohr V-K873S V-K883S Rohr V-K883S V-K893S Rohr V-K893S V-K903S Rohr V-K903S V-K913S Rohr V-K913S V-K923S Rohr V-K923S V-K503S Rohr V-K503S V-K353S Rohr V-K933S V-K943S Rohr V-K943S V-K953S Rohr V-K953S V-K963S Rohr V-K963S V-K973S Rohr V-K973S V-K983S Rohr V-K983S V-K993S Rohr V-K993S V-K1003S Rohr V-K1003S V-K1013S Rohr V-K1013S V-K1023S Rohr V-K1023S V-K1033S Rohr V-K283S V-K1043S Rohr V-K1043S V-K1053S Rohr V-K1053S V-K1063S Rohr V-K1063S V-K1073S Rohr V-K1073S V-K1083S Rohr V-K1083S V-K573S Rohr V-K1093S V-K1103S Rohr V-K1103S V-K1113S Rohr V-K1113S V-K1123S Rohr V-K1123S V-K1133S Rohr V-K1133S V-K1143S Rohr V-K1143S V-K1153S Rohr V-K1153S V-K953S Rohr V-K1163S V-K1173S Rohr V-K1173S V-K1153S Rohr V-K1153S V-K1033S Rohr V-K1033S V-K1183S Rohr V-K1183S V-K1193S Rohr V-K1193S V-K1203S Rohr V-K1203S V-K1213S Rohr V-K1213S V-K1223S Rohr V-K1223S V-K03S Rohr V-K1233S V-K1223S Rohr V-K23S V-K1243S Rohr V-K1243S V-K1253S Rohr V-K1253S V-K1263S Rohr V-K1263S V-K1273S Rohr V-K1273S V-K1283S Rohr V-K1283S V-K1293S Rohr V-K1293S V-K1303S Rohr V-K1303S V-K13S Rohr V-K83S V-K1313S Rohr V-K1313S V-K1323S Rohr V-K1323S V-K1333S Rohr V-K1333S V-K1343S Rohr V-K1343S V-K1353S Rohr V-K1353S V-K1363S Rohr V-K1363S V-K1373S Rohr V-K133S V-SP01 Rohr V-K333S V-K1393S Rohr V-K963S V-TS-P Rohr V-K1403S V-K1413S Rohr V-K1403S V-K1423S Rohr V-K1423S V-K1433S Rohr V-K1433S V-K1443S Rohr V-K1443S V-K1453S Rohr V-K1453S V-K1463S Rohr V-K1463S V-K1473S Rohr V-K1473S V-K1483S Rohr V-K1483S V-K1493S Rohr V-K1493S V-K1503S Rohr V-K1503S V-K1513S Rohr V-K1513S V-K1523S Rohr V-K1523S V-K1533S Rohr V-K1533S V-K1543S Rohr V-K1543S V-K1553S Rohr V-K1553S V-K1563S Rohr V-K1563S V-K1573S Rohr V-K1573S V-K1583S Rohr V-K1583S V-K623S Rohr V-SP02 V-K1603S Rohr V-K1603S V-K1613S Rohr V-K1613S V-K1623S Rohr V-K1623S V-K253S Rohr V-K1603S V-K1633S Rohr V-K263S V-K1643S Rohr V-K1643S V-K1653S Rohr V-K1653S V-K1663S Rohr V-E0 V-K1683S Rohr V-K1683S V-K1693S Rohr V-K1703S V-K1713S Rohr V-K1713S V-K1723S Rohr V-K1723S V-K1733S Rohr V-K1733S V-K1743S Rohr V-K1743S V-K1753S Rohr V-K1753S V-K1763S Rohr V-K1763S V-K1773S Rohr V-K1773S V-K1783S Rohr V-K1783S V-K1793S Rohr V-K1793S V-K1803S Rohr V-K1803S V-K1813S Rohr V-K1813S V-K1823S Rohr V-K1833S V-K1843S Rohr V-K1843S V-K1853S Rohr V-K1853S V-K1863S Rohr V-K1873S V-K1883S Rohr V-K1883S V-K1893S Rohr V-K1893S V-K1903S Rohr V-K1903S V-K1703S Rohr V-K1703S V-K1913S Rohr V-K1913S V-K1763S Rohr V-K1763S V-K1923S Rohr V-K1923S V-K1833S Rohr V-K523S V-K1933S Rohr V-K1933S V-K1943S Rohr V-K1943S V-K1953S Rohr V-K1953S V-K1963S Rohr V-K1963S V-K1973S Rohr V-K243S V-K1983S Rohr V-K483S V-K1993S Rohr V-K1993S V-K2003S Rohr V-K2003S V-K2013S Rohr V-K2013S V-K2023S Rohr V-K2023S V-K573S Rohr V-K833S V-K2033S Rohr V-K2033S V-K2043S Rohr V-K1693S V-K2053S Rohr V-K2053S V-K813S Rohr V-K2063S V-K2073S Rohr V-K323S V-K2083S Rohr V-K2083S V-K1093S Rohr V-K1093S V-K1073S Rohr V-K2093S V-K2103S Rohr V-K2103S V-K2113S Rohr V-K2113S V-K2123S Rohr V-K2123S V-K2133S Rohr V-K2133S V-K1833S Rohr V-K1413S V-K2143S Rohr V-K1083S V-K2153S Rohr V-K823S V-K2043S Rohr V-K2043S V-K2163S Rohr V-K2163S V-K1693S Rohr V-K2173S V-K933S ... 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timestamp
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2023-02-13 05:00:00.000 +01:00 0.008582 0.024733 0.016282 0.034238 0.011407 0.025622 0.001901 0.004271 0.002085 0.004683 0.002315 0.005201 0.025257 0.043560 0.001041 0.005314 0.001889 0.002490 0.001440 0.001899 0.007704 0.010156 0.010211 0.011108 0.009559 0.021708 0.036863 0.008111 0.036897 0.077418 165.7806 0.0 3.842942 5.046208e-27 64.19534 3.310239e-25 51.01035 1.042422e-24 83.9612 1.368325e-24 64.28724 3.073971e-25 43.0797 3.120333e-25 0.059068 0.008449 0.005003 0.006019 0.010888 0.016004 0.020712 0.036899 0.008177 0.021090 0.001201 0.007273 0.003524 0.020115 0.003508 0.020023 0.006137 0.032622 0.002605 0.012860 0.015289 0.054495 52.3749 1.555228e-21 13.53016 8.048731e-26 12.6086 2.108267e-26 10.49419 3.407186e-25 8.190004 3.051250e-24 13.37522 6.854140e-24 0.020528 0.069637 0.004876 0.007856 0.007266 0.017565 0.006026 0.019906 0.009951 0.019018 0.008650 0.020620 0.014847 0.025095 14.29888 0.000000e+00 6.310922 0.0 59.923 0.0 99.99299 0.0 14.00829 1.896573e-25 5.560995 1.187491e-26 17.37406 5.192259e-27 126.116 8.050924e-26 21.51779 0.000000e+00 0.017954 0.061610 0.024670 0.011671 0.082252 0.006381 0.010547 0.000106 42.03592 6.468936e-26 23.02995 6.633533e-22 117.7475 1.469192e-24 25.77541 1.379979e-24 18.48974 8.174085e-26 20.08946 8.529602e-26 20.21883 1.330405e-25 71.85966 0.0 24.84862 3.323043e-26 25.31222 3.308545e-26 30.19752 2.135992e-26 36.38173 8.807549e-26 34.99198 3.388444e-25 6.78462 1.904737e-25 33.2108 1.908083e-25 50.19061 0.000000e+00 47.19448 0.0 50.84296 1.294678e-24 50.56349 1.374829e-24 41.89281 5.480821e-24 9.602071 2.103868e-24 25.53992 0.0 0.006896 0.012587 0.007246 0.013226 0.012857 0.023468 0.010455 0.019084 0.009932 0.018129 35.89539 3.267765e-25 72.46398 3.039009e-24 71.66468 3.426732e-25 49.03616 0.0 54.56744 0.0 92.76953 0.0 0.014413 0.028009 0.012073 0.022672 0.011766 0.021421 0.019227 0.039189 0.003792 0.004025 0.002990 0.003174 0.003448 0.003660 0.004528 0.003444 0.015596 0.033247 0.005328 0.004390 0.001481 0.007931 0.000653 0.003498 0.000930 0.004982 0.008543 0.007483 0.025469 0.028467 0.014646 0.025443 0.003649 0.008384 0.002018 0.006419 0.002052 0.006529 0.001825 0.002061 0.002439 0.003650 0.027071 0.057643 0.017585 0.074492 0.008730 0.005360 0.021077 0.035765 0.077636 0.038059 0.019257 0.016933 0.002238 0.008490 0.001622 0.006152 0.001954 0.005472 0.018286 0.029045 76.11499 0.0 0.029036 0.048960 0.126314 0.012298 0.001671 0.000503 0.002766 0.000832 0.013757 0.004140 0.011730 0.005074 0.002817 0.001708 0.001755 0.001064 0.104353 0.008550 0.001195 0.002111 0.009882 0.036184 0.001119 0.001852 0.001158 0.001916 0.001764 0.001526 0.009214 0.007971 0.017369 0.005478 0.022308 0.017173 0.048680 0.053152 0.017089 0.059821 0.021703 0.012885 0.006051 0.033383 0.008126 0.025555 0.002570 0.032704 0.003213 0.027763 0.003329 0.014858 0.003988 0.016201 0.002796 0.017726 0.002651 0.016807 0.004109 0.012337 0.014684 0.035952 0.006464 0.015826 0.024331 0.013599 22.46283 8.164298e-26 11.13411 0.000000e+00 18.74616 3.296165e-25 27.98768 3.370467e-25 32.47894 3.437697e-25 63.81877 0.0 0.020852 0.032986 0.017089 0.031028 0.004999 0.005376 0.013417 0.019871 0.018162 0.027352 0.022676 0.030116 0.012465 0.019897 0.008638 0.006678 0.003083 0.005627 0.002512 0.004585 10.56986 1.001130e-14 14.57936 1.380885e-14 19.87988 1.882922e-14 24.45074 2.315844e-14 23.61157 2.236365e-14 50.96676 4.827302e-14 21.2934 8.317810e-26 16.31768 0.000000e+00 21.15114 0.000000e+00 6.620245 1.198788e-26 5.387928 0.000000e+00 11.07489 2.132729e-26 6.690278 8.347781e-26 21.84747 2.991816e-25 18.86606 0.000000e+00 26.74521 2.125622e-24 17.53896 1.341834e-24 15.2731 3.387909e-25 7.780674 0.000000e+00 35.01923 3.316796e-14 18.98862 1.798485e-14 14.42032 1.746141e-25 16.00222 8.560002e-26 40.99183 3.351841e-25 37.58163 3.445156e-25 3.547835 5.276278e-27 34.96974 0.000000e+00 105.8952 0.000000e+00 80.62691 3.220048e-22 36.44118 0.0 31.60874 4.774695e-26 0.030179 0.003276 0.024399 0.009568 0.009935 0.014319 0.003469 0.006332 0.002714 0.004954 18.81272 8.689769e-23 15.6488 0.000000e+00 0.017428 0.025398 45.47781 0.0 0.051701 0.076227 34.57665 0.0 8.426783 5.100040e-27 22.79576 7.565950e-25 33.26721 3.397910e-25 18.7625 3.384556e-25 14.43095 4.772193e-25 0.020533 0.012190 0.013198 0.043085 16.76996 8.466539e-26 0.002893 0.005281 0.001258 0.002296 0.001615 0.001866 ... 13.37522 2.529093e-24 0.020906 0.070947 0.004966 0.008029 0.007400 0.017899 0.006138 0.020238 0.010136 0.019373 0.008811 0.020973 0.015123 0.025517 14.29888 0.000000e+00 6.310922 0.0 59.923 2.004137e-26 99.99299 0.0 14.00829 5.208222e-27 5.560995 3.178204e-24 17.37406 1.024645e-23 126.116 2.230173e-26 21.51779 0.0 0.018290 0.061885 0.023205 0.013914 0.072509 0.008669 0.008141 0.000184 42.03592 2.148259e-26 23.02995 1.624845e-21 117.7475 1.199340e-23 25.77541 1.348437e-24 18.48974 3.335354e-25 20.08946 2.046252e-26 20.21883 5.586558e-27 71.85966 0.0 24.84862 1.196296e-26 25.31222 3.477989e-26 30.19752 0.000000e+00 36.38173 1.876027e-25 34.99198 2.475123e-26 6.78462 0.000000e+00 33.2108 2.120093e-26 50.19061 8.256394e-26 47.19448 0.0 50.84296 0.000000e+00 50.56349 0.000000e+00 41.89281 3.425513e-25 9.602071 0.000000e+00 25.53992 8.743657e-26 0.007024 0.012662 0.007381 0.013305 0.013097 0.023608 0.010650 0.019198 0.010117 0.018237 35.89539 5.198812e-25 72.46398 3.332966e-25 71.66468 3.426732e-25 49.03616 0.000000e+00 54.56744 0.0 92.76953 0.0 0.014680 0.028270 0.012296 0.022888 0.011619 0.022988 0.018141 0.046047 0.003513 0.004915 0.002770 0.003875 0.003194 0.004469 0.004149 0.004302 0.013845 0.043946 0.004094 0.007662 0.001529 0.007767 0.000674 0.003426 0.000961 0.004879 0.005084 0.029736 0.026259 0.028185 0.015075 0.025199 0.003717 0.008547 0.002055 0.006528 0.002091 0.006640 0.001858 0.002108 0.002485 0.003726 0.027575 0.058676 0.026825 0.027331 0.008892 0.005536 0.021468 0.036464 0.053924 0.110877 0.019613 0.017299 0.002492 0.007259 0.001806 0.005260 0.002199 0.004600 0.018623 0.029626 76.11499 0.0 0.029568 0.050150 0.128456 0.012809 0.001700 0.000519 0.002814 0.000859 0.013999 0.004272 0.011938 0.005220 0.002867 0.001752 0.002700 0.000391 0.106233 0.008861 0.001217 0.002151 0.010063 0.036757 0.001140 0.001893 0.001179 0.001957 0.001796 0.001567 0.009383 0.008186 0.017686 0.005688 0.022716 0.017651 0.049580 0.054644 0.017395 0.060463 0.021960 0.013213 0.006123 0.033649 0.008222 0.025826 0.002600 0.032896 0.003251 0.027973 0.003369 0.015016 0.004035 0.016381 0.002829 0.017908 0.002682 0.016980 0.004158 0.012511 0.014857 0.036563 0.006540 0.016094 0.024614 0.013945 22.46283 8.703624e-26 11.13411 0.000000e+00 18.74616 0.000000e+00 27.98768 3.370467e-25 32.47894 8.216519e-26 63.81877 0.0 0.021233 0.034099 0.017405 0.031686 0.005091 0.005500 0.013665 0.020281 0.014228 0.045979 0.023096 0.030761 0.012696 0.020338 0.008797 0.006864 0.003140 0.005660 0.002559 0.004612 10.56986 1.601792e-13 14.57936 2.209406e-13 19.87988 3.012663e-13 24.45074 3.705344e-13 23.61157 3.578180e-13 50.96676 7.723678e-13 21.2934 7.592590e-25 16.31768 3.365692e-25 21.15114 1.355570e-24 6.620245 3.288472e-26 5.387928 2.104679e-26 11.07489 0.0 6.690278 3.419088e-25 21.84747 0.000000e+00 18.86606 7.686561e-26 26.74521 2.125622e-24 17.53896 2.096616e-24 15.2731 7.622794e-25 7.780674 3.348380e-25 35.01923 5.306928e-13 18.98862 2.877595e-13 14.42032 3.387078e-25 16.00222 1.189204e-24 40.99183 2.592197e-23 37.58163 2.039686e-23 3.547835 2.117795e-24 34.96974 2.003576e-26 105.8952 0.0 80.62691 3.415578e-22 36.44118 0.0 31.60874 0.0 0.030736 0.003433 0.024853 0.009923 0.010120 0.014618 0.003533 0.006369 0.002765 0.004983 18.81272 8.659940e-23 15.6488 0.0 0.017752 0.026051 45.47781 0.0 0.052653 0.078171 34.57665 0.0 8.426783 2.095524e-26 22.79576 8.529783e-26 33.26721 8.494776e-26 18.7625 0.000000e+00 14.43095 5.837866e-25 0.020773 0.012497 0.013443 0.043912 16.76996 0.0 0.002947 0.005312 0.001282 0.002310 0.001645 0.001884 0.006653 0.011992 0.002870 0.005173 0.002017 0.003637 0.002672 0.009729 0.017432 0.019575 64.70937 0.0 80.91752 3.388132e-25 102.0578 1.663247e-24 47.21349 3.419750e-25 0.009775 0.016620 0.010824 0.006462 0.018221 0.010878 42.44363 6.859804e-22 12.77701 5.185884e-23 27.49709 1.120308e-23 5.377964 1.355252e-24 2.779566 7.785946e-25 2.251996 1.390716e-25 9.412791 1.905699e-25 3.21121 1.458254e-25 2.603956 6.693012e-27 5.753166 1.095352e-26 17.9649 5.368832e-27 0.055606 0.036134 0.011015 0.005235 0.009503 0.004245 26.05582 2.110089e-24 0.005387 0.009818 0.011003 0.020997 25.21477 2.158086e-26 13.48946 8.444945e-26 8.799599 2.130270e-26 11.09779 0.000000e+00 26.07811 2.231977e-26 17.34526 9.618897e-26 20.64109 0.000000e+00 0.001839 0.018179 0.001861 0.018278
2023-02-13 23:00:00.000 +01:00 0.012623 0.011749 0.023859 0.016444 0.016756 0.012244 0.002793 0.002041 0.003063 0.002238 0.003401 0.002485 0.037095 0.020862 0.001529 0.002533 0.002773 0.001198 0.002115 0.000914 0.011310 0.004887 0.014989 0.005354 0.014022 0.010450 0.053944 0.004016 0.054312 0.037035 165.7806 0.0 3.842942 1.233485e-24 64.19534 3.433975e-25 51.01035 1.717848e-24 83.9612 3.078732e-24 64.28724 3.057601e-24 43.0797 1.950208e-24 0.086543 0.004188 0.007364 0.002898 0.016020 0.007661 0.030491 0.017585 0.012041 0.010019 0.001767 0.003435 0.005187 0.009506 0.005163 0.009462 0.009032 0.015425 0.003833 0.006084 0.022495 0.025841 52.3749 4.777743e-21 13.53016 8.613386e-26 12.6086 5.305003e-25 10.49419 3.407186e-25 8.190004 3.051250e-24 13.37522 1.939846e-25 0.030186 0.033411 0.007174 0.003777 0.010693 0.008414 0.008871 0.009509 0.014659 0.009091 0.012744 0.009837 0.021902 0.011939 14.29888 3.371437e-25 6.310922 0.0 59.923 0.0 99.99299 0.0 14.00829 0.000000e+00 5.560995 1.357677e-27 17.37406 5.393882e-27 126.116 1.875575e-25 21.51779 2.191737e-26 0.026467 0.028999 0.036583 0.005552 0.122498 0.003055 0.015923 0.000050 42.03592 6.468936e-26 23.02995 2.181941e-21 117.7475 1.679409e-23 25.77541 3.033984e-24 18.48974 8.841090e-26 20.08946 7.572553e-25 20.21883 4.763323e-26 71.85966 0.0 24.84862 1.329217e-27 25.31222 1.323418e-27 30.19752 2.135992e-26 36.38173 2.084475e-26 34.99198 8.935195e-26 6.78462 0.000000e+00 33.2108 2.120093e-26 50.19061 2.271663e-26 47.19448 0.0 50.84296 0.000000e+00 50.56349 1.374829e-24 41.89281 1.290790e-24 9.602071 7.631413e-25 25.53992 0.0 0.010174 0.005924 0.010691 0.006224 0.018969 0.011044 0.015426 0.008981 0.014654 0.008532 35.89539 3.527767e-25 72.46398 3.332966e-25 71.66468 0.000000e+00 49.03616 0.0 54.56744 0.0 92.76953 0.0 0.021297 0.013189 0.017839 0.010679 0.017419 0.010080 0.028351 0.018637 0.005589 0.001925 0.004407 0.001518 0.005082 0.001750 0.006672 0.001652 0.022964 0.015893 0.007827 0.002128 0.002177 0.003756 0.000960 0.001657 0.001368 0.002360 0.012564 0.003573 0.037473 0.013563 0.021563 0.012073 0.005365 0.004026 0.002968 0.003073 0.003019 0.003126 0.002684 0.000991 0.003590 0.001752 0.039849 0.027568 0.025921 0.035213 0.012877 0.002592 0.031109 0.017047 0.114211 0.018371 0.028309 0.008150 0.003289 0.004057 0.002383 0.002940 0.002871 0.002621 0.026858 0.013982 76.11499 0.0 0.042565 0.023762 0.188262 0.005870 0.002479 0.000240 0.004104 0.000397 0.020413 0.001975 0.017388 0.002418 0.004172 0.000813 0.002599 0.000506 0.154330 0.004122 0.001755 0.001015 0.014507 0.017366 0.001643 0.000895 0.001699 0.000926 0.002588 0.000742 0.013516 0.003873 0.025451 0.002697 0.032707 0.008361 0.071528 0.025767 0.025390 0.027938 0.031936 0.006277 0.008936 0.015760 0.011994 0.012120 0.003792 0.015417 0.004740 0.013128 0.004908 0.007065 0.005878 0.007710 0.004118 0.008439 0.003905 0.008002 0.006048 0.005914 0.021562 0.017382 0.009492 0.007652 0.035680 0.006673 22.46283 4.268130e-24 11.13411 1.344570e-24 18.74616 0.000000e+00 27.98768 3.370467e-25 32.47894 3.437697e-25 63.81877 0.0 0.030458 0.016265 0.025092 0.014963 0.007346 0.002593 0.019722 0.009555 0.026667 0.013247 0.033376 0.014458 0.018337 0.009571 0.012705 0.003231 0.004548 0.002648 0.003706 0.002158 10.56986 1.001101e-14 14.57936 1.380865e-14 19.87988 1.882899e-14 24.45074 2.315835e-14 23.61157 2.236347e-14 50.96676 4.827263e-14 21.2934 1.359316e-24 16.31768 2.134837e-24 21.15114 7.623296e-25 6.620245 3.288472e-26 5.387928 8.463556e-26 11.07489 2.132729e-26 6.690278 0.000000e+00 21.84747 2.991816e-25 18.86606 3.416249e-26 26.74521 1.318506e-23 17.53896 8.386463e-24 15.2731 6.860515e-24 7.780674 3.065275e-24 35.01923 3.316902e-14 18.98862 1.798540e-14 14.42032 3.648389e-24 16.00222 4.150936e-24 40.99183 8.379603e-26 37.58163 1.937900e-25 3.547835 5.276278e-27 34.96974 8.929517e-26 105.8952 0.000000e+00 80.62691 3.315349e-22 36.44118 0.0 31.60874 1.365174e-25 0.044353 0.001618 0.035899 0.004665 0.014670 0.006827 0.005118 0.002980 0.004004 0.002331 18.81272 8.689763e-23 15.6488 0.000000e+00 0.025736 0.012165 45.47781 0.0 0.075801 0.037022 34.57665 0.0 8.426783 5.379443e-27 22.79576 7.565950e-25 33.26721 1.359164e-24 18.7625 1.353823e-24 14.43095 5.837866e-25 0.030215 0.005939 0.019490 0.020506 16.76996 4.299126e-24 0.004268 0.002485 0.001856 0.001081 0.002381 0.000882 ... 13.37522 1.873481e-25 0.030740 0.034340 0.007307 0.003895 0.010891 0.008650 0.009035 0.009752 0.014931 0.009341 0.012981 0.010091 0.022309 0.012243 14.29888 8.785053e-26 6.310922 0.0 59.923 2.004137e-26 99.99299 0.0 14.00829 5.208222e-27 5.560995 1.598605e-25 17.37406 3.386581e-25 126.116 2.230173e-26 21.51779 0.0 0.026962 0.029326 0.034437 0.006656 0.108074 0.004166 0.012268 0.000088 42.03592 1.905105e-25 23.02995 1.878140e-25 117.7475 0.000000e+00 25.77541 0.000000e+00 18.48974 3.401727e-25 20.08946 2.046252e-26 20.21883 5.586558e-27 71.85966 0.0 24.84862 1.187250e-26 25.31222 1.679232e-27 30.19752 8.331704e-26 36.38173 0.000000e+00 34.99198 8.935195e-26 6.78462 2.116374e-26 33.2108 1.023282e-24 50.19061 1.714827e-24 47.19448 0.0 50.84296 3.682639e-25 50.56349 0.000000e+00 41.89281 1.370205e-24 9.602071 3.328046e-25 25.53992 8.743657e-26 0.010364 0.006000 0.010891 0.006305 0.019324 0.011187 0.015714 0.009097 0.014928 0.008642 35.89539 3.313467e-25 72.46398 0.000000e+00 71.66468 3.168207e-25 49.03616 3.333252e-25 54.56744 0.0 92.76953 0.0 0.021693 0.013412 0.018170 0.010861 0.017191 0.010909 0.026716 0.022098 0.005169 0.002372 0.004076 0.001871 0.004700 0.002157 0.006104 0.002083 0.020343 0.021206 0.005994 0.003746 0.002248 0.003708 0.000991 0.001635 0.001412 0.002329 0.007475 0.014174 0.038627 0.013541 0.022191 0.012054 0.005464 0.004140 0.003023 0.003152 0.003074 0.003206 0.002734 0.001023 0.003656 0.001803 0.040590 0.028306 0.039571 0.013104 0.013114 0.002702 0.031686 0.017532 0.079507 0.053341 0.028830 0.008397 0.003662 0.003505 0.002654 0.002540 0.003230 0.002228 0.027351 0.014384 76.11499 0.0 0.043339 0.024556 0.190972 0.006193 0.002518 0.000250 0.004169 0.000414 0.020736 0.002062 0.017669 0.002516 0.004241 0.000843 0.003994 0.000190 0.156957 0.004315 0.001787 0.001044 0.014772 0.017789 0.001673 0.000922 0.001730 0.000954 0.002635 0.000768 0.013763 0.004013 0.025912 0.002826 0.033301 0.008670 0.072846 0.026736 0.025848 0.028463 0.032315 0.006479 0.009042 0.015973 0.012137 0.012319 0.003837 0.015589 0.004796 0.013300 0.004966 0.007182 0.005948 0.007841 0.004167 0.008576 0.003951 0.008131 0.006119 0.006034 0.021815 0.017791 0.009603 0.007830 0.036092 0.006885 22.46283 8.070851e-26 11.13411 0.000000e+00 18.74616 0.000000e+00 27.98768 3.370467e-25 32.47894 8.216519e-26 63.81877 0.0 0.031011 0.016977 0.025554 0.015415 0.007481 0.002676 0.020087 0.009837 0.020898 0.022310 0.033992 0.014897 0.018674 0.009869 0.012937 0.003351 0.004633 0.002682 0.003775 0.002185 10.56986 1.601792e-13 14.57936 2.209400e-13 19.87988 3.012656e-13 24.45074 3.705337e-13 23.61157 3.578166e-13 50.96676 7.723658e-13 21.2934 3.398290e-25 16.31768 8.414230e-26 21.15114 0.000000e+00 6.620245 1.198788e-26 5.387928 2.149698e-26 11.07489 0.0 6.690278 8.347781e-26 21.84747 2.991816e-25 18.86606 0.000000e+00 26.74521 1.018240e-23 17.53896 8.386463e-24 15.2731 6.860515e-24 7.780674 3.065275e-24 35.01923 5.306957e-13 18.98862 2.877617e-13 14.42032 1.354831e-24 16.00222 4.281133e-25 40.99183 5.361206e-25 37.58163 5.383056e-25 3.547835 2.110511e-26 34.96974 2.003576e-26 105.8952 0.0 80.62691 3.335332e-22 36.44118 0.0 31.60874 0.0 0.045167 0.001711 0.036566 0.004884 0.014943 0.007031 0.005213 0.003018 0.004079 0.002361 18.81272 8.659533e-23 15.6488 0.0 0.026215 0.012595 45.47781 0.0 0.077190 0.038310 34.57665 0.0 8.426783 2.095524e-26 22.79576 0.000000e+00 33.26721 8.494776e-26 18.7625 8.461391e-26 14.43095 2.230933e-25 0.030568 0.006128 0.019852 0.021088 16.76996 0.0 0.004348 0.002517 0.001891 0.001095 0.002426 0.000897 0.009816 0.005682 0.004234 0.002451 0.002977 0.001723 0.003939 0.004607 0.025701 0.009325 64.70937 0.0 80.91752 0.000000e+00 102.0578 7.392210e-25 47.21349 0.000000e+00 0.014357 0.008107 0.015883 0.003185 0.026738 0.005361 42.44363 7.165161e-22 12.77701 5.619025e-23 27.49709 2.144340e-26 5.377964 0.000000e+00 2.779566 7.959043e-26 2.251996 4.380058e-26 9.412791 1.905699e-25 3.21121 8.308066e-27 2.603956 6.693012e-27 5.753166 2.281439e-25 17.9649 5.368832e-27 0.082039 0.017324 0.016248 0.002517 0.014018 0.002041 26.05582 1.026496e-23 0.007949 0.004672 0.016239 0.009987 25.21477 2.158086e-26 13.48946 2.146868e-26 8.799599 0.000000e+00 11.09779 1.884764e-25 26.07811 5.378880e-25 17.34526 0.000000e+00 20.64109 2.102439e-26 0.002716 0.008551 0.002748 0.008642

3 rows × 1048 columns

Subcase 4: Specific Timestamps + Specific Values + Filtering

If we want to filter for more than just the container, we have to filter tks outside the function and then pass them. Works same way as for model_data.

[30]:

all_tks = s3s.GetTksofElementType(s3s.ObjectTypes.Pipe)

[31]:

len(all_tks)

[31]:

524

[32]:

good_tks = []

[33]:

for tk in all_tks:
    if s3s.GetValue(tk, "FkCont")[0] == "5029128874972463118":
        if s3s.GetValue(tk, "bz.Irtrenn")[0] == "0": # Rohr nicht getrennt
            good_tks.append(tk)

[34]:

len(good_tks)

[34]:

480

[35]:

(s3s.generate_element_results_dataframe(element_type=s3s.ObjectTypes.Pipe
                                        ,tks=good_tks # here we specify that not all available tks should be used
                                        ,properties=["DTTR", "PHR"]
                                        ,timestamps=[0, 5, -2]
                                        )).head(3)

[2026-01-09 17:03:14,862] INFO in sir3stoolkit.mantle.dataframes: [results] Generating results dataframe for element type: ObjectTypes.Pipe
[2026-01-09 17:03:14,988] INFO in sir3stoolkit.mantle.dataframes: [Resolving Timestamps] 3 valid timestamp(s) will be used.
[2026-01-09 17:03:14,990] INFO in sir3stoolkit.mantle.dataframes: [Resolving tks] Retrieved 524 element(s) of element type ObjectTypes.Pipe.
[2026-01-09 17:03:14,996] INFO in sir3stoolkit.mantle.dataframes: [Resolving tks] 480 tks remain after filtering for given tks.
[2026-01-09 17:03:14,999] INFO in sir3stoolkit.mantle.dataframes: [results] Using 2 result properties.
[2026-01-09 17:03:15,028] INFO in sir3stoolkit.mantle.dataframes: [results] Retrieving result values...
[2026-01-09 17:03:15,906] INFO in sir3stoolkit.mantle.dataframes: [results] Done. Shape: (3, 960)

[35]:
tk 5442010239090746007 4917786378639043296 4762482310382009633 4987229536643024523 5722206630503885118 5089459212485379804 5526871502288882655 4809089329099085219 5170001087020228683 5625716875961234775 5501916898830363065 5192970129555982907 5027225217797463802 5107343838750080243 4840056338230495043 4781821593135991761 4770083637349644299 5140383994159421977 4615723899944629797 5485743457841402038 5061682782623660813 4868922965129592512 5253822763469470014 5468996363795343031 5339499657518903527 4811306899232458618 4928779983564758026 4965578769510488820 5600841315591171772 4995034655758156710 5209057104414292468 5080791944541542127 4996979568467922520 4893521402166887668 4943852467771545411 5407639481169980338 5494345815849234157 5559756735287401600 4688455252738739891 5120913591494019846 5189136483684313738 5027271755713739562 5211657964305638265 5017291090985710926 4968195666913259627 4872293615039533867 5073852406571450055 5460451359190976355 5680559127926603859 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timestamp
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0.004427 0.002143 0.003112 0.001506 0.005878 0.001646 0.026869 0.008126 64.70937 0.0 80.91752 0.0 102.0578 1.848052e-25 0.015003 0.006977 0.016596 0.002722 0.027941 0.004584 42.44363 6.863288e-22 12.77701 6.160603e-23 27.49709 6.874337e-24 5.377964 1.609882e-24 2.779566 4.769374e-25 2.251996 1.600902e-25 9.412791 1.905699e-25 3.21121 8.470329e-26 2.603956 4.004051e-26 5.753166 1.074086e-25 ... 51.01035 1.364699e-24 83.9612 3.420814e-25 64.28724 3.565079e-25 43.0797 7.800832e-26 0.093736 0.003953 0.007984 0.002667 0.017370 0.006993 0.033065 0.015981 0.013060 0.009076 0.001917 0.003084 0.005625 0.008539 0.005599 0.008499 0.009795 0.013864 0.004156 0.005472 0.024393 0.023300 13.53016 3.388171e-25 12.6086 4.527569e-25 10.49419 7.647321e-25 8.190004 1.356111e-24 0.032720 0.030559 0.007778 0.003467 0.011594 0.007695 0.009619 0.008671 0.015899 0.008306 0.013823 0.008970 0.023763 0.010876 59.923 2.004137e-26 14.00829 5.208222e-27 5.560995 2.977277e-25 17.37406 1.354632e-24 126.116 2.230173e-26 21.51779 0.0 0.028714 0.025998 0.036713 0.005910 0.115293 0.003702 0.013112 0.000078 42.03592 2.116783e-26 23.02995 1.547077e-23 117.7475 0.000000e+00 25.77541 3.371093e-25 18.48974 0.000000e+00 20.08946 2.220325e-26 20.21883 5.586558e-27 24.84862 1.196296e-26 25.31222 1.092795e-26 30.19752 3.375001e-25 36.38173 0.000000e+00 34.99198 8.019399e-26 6.78462 2.116374e-26 33.2108 7.632334e-25 50.19061 1.353707e-24 47.19448 0.0 50.84296 0.000000e+00 50.56349 3.662396e-25 41.89281 5.320806e-24 9.602071 3.423812e-25 0.011039 0.005319 0.011600 0.005589 0.020583 0.009917 0.016737 0.008065 0.015900 0.007661 72.46398 3.332966e-25 71.66468 1.370693e-24 49.03616 3.333252e-25 0.023111 0.011893 0.019357 0.009632 0.018318 0.009675 0.028447 0.019633 0.005504 0.002110 0.004339 0.001664 0.005004 0.001918 0.006498 0.001853 0.021652 0.018859 0.006376 0.003340 0.002393 0.003291 0.001055 0.001452 0.001503 0.002068 0.007957 0.012579 0.041121 0.012033 0.023627 0.010704 0.005816 0.003685 0.003218 0.002804 0.003273 0.002852 0.002910 0.000911 0.003892 0.001605 0.043215 0.025173 0.042147 0.011640 0.013968 0.002407 0.033753 0.015579 0.084671 0.047416 0.030686 0.007475 0.003897 0.003118 0.002824 0.002259 0.003437 0.001983 0.029106 0.012807 0.046102 0.021899 0.203629 0.005510 0.002683 0.000223 0.004443 0.000369 0.022098 0.001834 0.018827 0.002237 0.004518 0.000750 0.004256 0.000169 0.167200 0.003843 0.001902 0.000929 0.015718 0.015831 0.001780 0.000822 0.001841 0.000850 0.002803 0.000685 0.014642 0.003579 0.027562 0.002526 0.035425 0.007735 0.077527 0.023835 0.027558 0.025218 0.034402 0.005778 0.009633 0.014163 0.012929 0.010933 0.004087 0.013820 0.005108 0.011797 0.005289 0.006377 0.006334 0.006964 0.004437 0.007617 0.004207 0.007222 0.006515 0.005366 0.023215 0.015847 0.010218 0.006975 0.038396 0.006148 11.13411 3.361425e-25 18.74616 3.296165e-25 27.98768 3.370467e-25 32.47894 8.594241e-26 0.032964 0.015186 0.027192 0.013730 0.007962 0.002383 0.021380 0.008757 0.022239 0.019863 0.036189 0.013256 0.019879 0.008786 0.013771 0.002986 0.004935 0.002378 0.004021 0.001937 10.56986 1.601787e-13 14.57936 2.209403e-13 19.87988 3.012653e-13 24.45074 3.705344e-13 23.61157 3.578180e-13 50.96676 7.723678e-13 21.2934 3.398290e-25 16.31768 8.414230e-26 21.15114 8.483443e-26 6.620245 3.288472e-26 5.387928 2.104679e-26 11.07489 0.0 6.690278 8.347781e-26 21.84747 8.901271e-26 18.86606 1.921640e-26 26.74521 3.003416e-24 17.53896 2.161623e-24 15.2731 3.049118e-24 7.780674 3.348380e-25 35.01923 5.306936e-13 18.98862 2.877608e-13 14.42032 2.115087e-24 16.00222 4.316010e-25 40.99183 2.144482e-24 37.58163 2.105639e-24 3.547835 2.110511e-26 34.96974 0.000000e+00 105.8952 0.0 80.62691 3.361898e-22 0.048071 0.001530 0.038927 0.004358 0.015920 0.006248 0.005553 0.002676 0.004345 0.002093 18.81272 8.681118e-23 0.027928 0.011203 0.082113 0.034168 8.426783 2.095524e-26 22.79576 3.411913e-25 33.26721 1.359164e-24 18.7625 7.615252e-25 14.43095 9.629093e-25 0.032542 0.005464 0.021149 0.018737 0.004631 0.002231 0.002014 0.000970 0.002583 0.000796 0.010455 0.005038 0.004510 0.002173 0.003170 0.001528 0.004195 0.004084 0.027372 0.008274 64.70937 0.0 80.91752 1.355253e-24 102.0578 1.182754e-23 0.015279 0.007224 0.016900 0.002843 0.028449 0.004785 42.44363 7.016279e-22 12.77701 5.189308e-23 27.49709 7.597578e-25 5.377964 3.388130e-25 2.779566 7.959043e-26 2.251996 4.369624e-26 9.412791 2.127350e-26 3.21121 8.308066e-27 2.603956 4.377348e-26 5.753166 3.474229e-26 17.9649 5.368832e-27 0.087379 0.015389 0.017305 0.002236 0.014930 0.001814 26.05582 4.146824e-24 0.008467 0.004144 0.017297 0.008859 25.21477 0.000000e+00 13.48946 8.444945e-26 8.799599 1.917243e-25 11.09779 1.962478e-25 26.07811 7.555519e-25 17.34526 7.066944e-26 20.64109 0.000000e+00 0.002894 0.007571 0.002928 0.007658
2023-02-13 05:00:00.000 +01:00 0.008582 0.024733 0.016282 0.034238 0.011407 0.025622 0.001901 0.004271 0.002085 0.004683 0.002315 0.005201 0.025257 0.043560 0.001041 0.005314 0.001889 0.002490 0.001440 0.001899 0.007704 0.010156 0.010211 0.011108 0.009559 0.021708 0.036863 0.008111 0.036897 0.077418 64.19534 3.310239e-25 51.01035 1.042422e-24 83.9612 1.368325e-24 64.28724 3.073971e-25 43.0797 3.120333e-25 0.059068 0.008449 0.005003 0.006019 0.010888 0.016004 0.020712 0.036899 0.008177 0.021090 0.001201 0.007273 0.003524 0.020115 0.003508 0.020023 0.006137 0.032622 0.002605 0.012860 0.015289 0.054495 13.53016 8.048731e-26 12.6086 2.108267e-26 10.49419 3.407186e-25 8.190004 3.051250e-24 0.020528 0.069637 0.004876 0.007856 0.007266 0.017565 0.006026 0.019906 0.009951 0.019018 0.008650 0.020620 0.014847 0.025095 59.923 0.0 14.00829 1.896573e-25 5.560995 1.187491e-26 17.37406 5.192259e-27 126.116 8.050924e-26 21.51779 0.000000e+00 0.017954 0.061610 0.024670 0.011671 0.082252 0.006381 0.010547 0.000106 42.03592 6.468936e-26 23.02995 6.633533e-22 117.7475 1.469192e-24 25.77541 1.379979e-24 18.48974 8.174085e-26 20.08946 8.529602e-26 20.21883 1.330405e-25 24.84862 3.323043e-26 25.31222 3.308545e-26 30.19752 2.135992e-26 36.38173 8.807549e-26 34.99198 3.388444e-25 6.78462 1.904737e-25 33.2108 1.908083e-25 50.19061 0.000000e+00 47.19448 0.0 50.84296 1.294678e-24 50.56349 1.374829e-24 41.89281 5.480821e-24 9.602071 2.103868e-24 0.006896 0.012587 0.007246 0.013226 0.012857 0.023468 0.010455 0.019084 0.009932 0.018129 72.46398 3.039009e-24 71.66468 3.426732e-25 49.03616 0.0 0.014413 0.028009 0.012073 0.022672 0.011766 0.021421 0.019227 0.039189 0.003792 0.004025 0.002990 0.003174 0.003448 0.003660 0.004528 0.003444 0.015596 0.033247 0.005328 0.004390 0.001481 0.007931 0.000653 0.003498 0.000930 0.004982 0.008543 0.007483 0.025469 0.028467 0.014646 0.025443 0.003649 0.008384 0.002018 0.006419 0.002052 0.006529 0.001825 0.002061 0.002439 0.003650 0.027071 0.057643 0.017585 0.074492 0.008730 0.005360 0.021077 0.035765 0.077636 0.038059 0.019257 0.016933 0.002238 0.008490 0.001622 0.006152 0.001954 0.005472 0.018286 0.029045 0.029036 0.048960 0.126314 0.012298 0.001671 0.000503 0.002766 0.000832 0.013757 0.004140 0.011730 0.005074 0.002817 0.001708 0.001755 0.001064 0.104353 0.008550 0.001195 0.002111 0.009882 0.036184 0.001119 0.001852 0.001158 0.001916 0.001764 0.001526 0.009214 0.007971 0.017369 0.005478 0.022308 0.017173 0.048680 0.053152 0.017089 0.059821 0.021703 0.012885 0.006051 0.033383 0.008126 0.025555 0.002570 0.032704 0.003213 0.027763 0.003329 0.014858 0.003988 0.016201 0.002796 0.017726 0.002651 0.016807 0.004109 0.012337 0.014684 0.035952 0.006464 0.015826 0.024331 0.013599 11.13411 0.000000e+00 18.74616 3.296165e-25 27.98768 3.370467e-25 32.47894 3.437697e-25 0.020852 0.032986 0.017089 0.031028 0.004999 0.005376 0.013417 0.019871 0.018162 0.027352 0.022676 0.030116 0.012465 0.019897 0.008638 0.006678 0.003083 0.005627 0.002512 0.004585 10.56986 1.001130e-14 14.57936 1.380885e-14 19.87988 1.882922e-14 24.45074 2.315844e-14 23.61157 2.236365e-14 50.96676 4.827302e-14 21.2934 8.317810e-26 16.31768 0.000000e+00 21.15114 0.000000e+00 6.620245 1.198788e-26 5.387928 0.000000e+00 11.07489 2.132729e-26 6.690278 8.347781e-26 21.84747 2.991816e-25 18.86606 0.000000e+00 26.74521 2.125622e-24 17.53896 1.341834e-24 15.2731 3.387909e-25 7.780674 0.000000e+00 35.01923 3.316796e-14 18.98862 1.798485e-14 14.42032 1.746141e-25 16.00222 8.560002e-26 40.99183 3.351841e-25 37.58163 3.445156e-25 3.547835 5.276278e-27 34.96974 0.000000e+00 105.8952 0.000000e+00 80.62691 3.220048e-22 0.030179 0.003276 0.024399 0.009568 0.009935 0.014319 0.003469 0.006332 0.002714 0.004954 18.81272 8.689769e-23 0.017428 0.025398 0.051701 0.076227 8.426783 5.100040e-27 22.79576 7.565950e-25 33.26721 3.397910e-25 18.7625 3.384556e-25 14.43095 4.772193e-25 0.020533 0.012190 0.013198 0.043085 0.002893 0.005281 0.001258 0.002296 0.001615 0.001866 0.006531 0.011921 0.002817 0.005143 0.001981 0.003615 0.003744 0.003926 0.017112 0.019390 64.70937 0.0 80.91752 0.0 102.0578 0.000000e+00 0.009597 0.016223 0.010628 0.006254 0.017893 0.010529 42.44363 6.864621e-22 12.77701 5.280877e-23 27.49709 1.356089e-24 5.377964 3.480943e-26 2.779566 1.180151e-26 2.251996 2.236828e-25 9.412791 1.905699e-25 3.21121 8.470329e-26 2.603956 8.219687e-27 5.753166 6.490781e-26 ... 51.01035 1.353626e-24 83.9612 2.138008e-24 64.28724 7.275672e-25 43.0797 1.248133e-24 0.060156 0.008835 0.005096 0.006166 0.011090 0.016290 0.021097 0.037430 0.008329 0.021341 0.001223 0.007310 0.003590 0.020223 0.003573 0.020130 0.006252 0.032810 0.002653 0.012940 0.015574 0.054938 13.53016 0.000000e+00 12.6086 1.576124e-24 10.49419 4.151829e-24 8.190004 1.347262e-24 0.020906 0.070947 0.004966 0.008029 0.007400 0.017899 0.006138 0.020238 0.010136 0.019373 0.008811 0.020973 0.015123 0.025517 59.923 2.004137e-26 14.00829 5.208222e-27 5.560995 3.178204e-24 17.37406 1.024645e-23 126.116 2.230173e-26 21.51779 0.0 0.018290 0.061885 0.023205 0.013914 0.072509 0.008669 0.008141 0.000184 42.03592 2.148259e-26 23.02995 1.624845e-21 117.7475 1.199340e-23 25.77541 1.348437e-24 18.48974 3.335354e-25 20.08946 2.046252e-26 20.21883 5.586558e-27 24.84862 1.196296e-26 25.31222 3.477989e-26 30.19752 0.000000e+00 36.38173 1.876027e-25 34.99198 2.475123e-26 6.78462 0.000000e+00 33.2108 2.120093e-26 50.19061 8.256394e-26 47.19448 0.0 50.84296 0.000000e+00 50.56349 0.000000e+00 41.89281 3.425513e-25 9.602071 0.000000e+00 0.007024 0.012662 0.007381 0.013305 0.013097 0.023608 0.010650 0.019198 0.010117 0.018237 72.46398 3.332966e-25 71.66468 3.426732e-25 49.03616 0.000000e+00 0.014680 0.028270 0.012296 0.022888 0.011619 0.022988 0.018141 0.046047 0.003513 0.004915 0.002770 0.003875 0.003194 0.004469 0.004149 0.004302 0.013845 0.043946 0.004094 0.007662 0.001529 0.007767 0.000674 0.003426 0.000961 0.004879 0.005084 0.029736 0.026259 0.028185 0.015075 0.025199 0.003717 0.008547 0.002055 0.006528 0.002091 0.006640 0.001858 0.002108 0.002485 0.003726 0.027575 0.058676 0.026825 0.027331 0.008892 0.005536 0.021468 0.036464 0.053924 0.110877 0.019613 0.017299 0.002492 0.007259 0.001806 0.005260 0.002199 0.004600 0.018623 0.029626 0.029568 0.050150 0.128456 0.012809 0.001700 0.000519 0.002814 0.000859 0.013999 0.004272 0.011938 0.005220 0.002867 0.001752 0.002700 0.000391 0.106233 0.008861 0.001217 0.002151 0.010063 0.036757 0.001140 0.001893 0.001179 0.001957 0.001796 0.001567 0.009383 0.008186 0.017686 0.005688 0.022716 0.017651 0.049580 0.054644 0.017395 0.060463 0.021960 0.013213 0.006123 0.033649 0.008222 0.025826 0.002600 0.032896 0.003251 0.027973 0.003369 0.015016 0.004035 0.016381 0.002829 0.017908 0.002682 0.016980 0.004158 0.012511 0.014857 0.036563 0.006540 0.016094 0.024614 0.013945 11.13411 0.000000e+00 18.74616 0.000000e+00 27.98768 3.370467e-25 32.47894 8.216519e-26 0.021233 0.034099 0.017405 0.031686 0.005091 0.005500 0.013665 0.020281 0.014228 0.045979 0.023096 0.030761 0.012696 0.020338 0.008797 0.006864 0.003140 0.005660 0.002559 0.004612 10.56986 1.601792e-13 14.57936 2.209406e-13 19.87988 3.012663e-13 24.45074 3.705344e-13 23.61157 3.578180e-13 50.96676 7.723678e-13 21.2934 7.592590e-25 16.31768 3.365692e-25 21.15114 1.355570e-24 6.620245 3.288472e-26 5.387928 2.104679e-26 11.07489 0.0 6.690278 3.419088e-25 21.84747 0.000000e+00 18.86606 7.686561e-26 26.74521 2.125622e-24 17.53896 2.096616e-24 15.2731 7.622794e-25 7.780674 3.348380e-25 35.01923 5.306928e-13 18.98862 2.877595e-13 14.42032 3.387078e-25 16.00222 1.189204e-24 40.99183 2.592197e-23 37.58163 2.039686e-23 3.547835 2.117795e-24 34.96974 2.003576e-26 105.8952 0.0 80.62691 3.415578e-22 0.030736 0.003433 0.024853 0.009923 0.010120 0.014618 0.003533 0.006369 0.002765 0.004983 18.81272 8.659940e-23 0.017752 0.026051 0.052653 0.078171 8.426783 2.095524e-26 22.79576 8.529783e-26 33.26721 8.494776e-26 18.7625 0.000000e+00 14.43095 5.837866e-25 0.020773 0.012497 0.013443 0.043912 0.002947 0.005312 0.001282 0.002310 0.001645 0.001884 0.006653 0.011992 0.002870 0.005173 0.002017 0.003637 0.002672 0.009729 0.017432 0.019575 64.70937 0.0 80.91752 3.388132e-25 102.0578 1.663247e-24 0.009775 0.016620 0.010824 0.006462 0.018221 0.010878 42.44363 6.859804e-22 12.77701 5.185884e-23 27.49709 1.120308e-23 5.377964 1.355252e-24 2.779566 7.785946e-25 2.251996 1.390716e-25 9.412791 1.905699e-25 3.21121 1.458254e-25 2.603956 6.693012e-27 5.753166 1.095352e-26 17.9649 5.368832e-27 0.055606 0.036134 0.011015 0.005235 0.009503 0.004245 26.05582 2.110089e-24 0.005387 0.009818 0.011003 0.020997 25.21477 2.158086e-26 13.48946 8.444945e-26 8.799599 2.130270e-26 11.09779 0.000000e+00 26.07811 2.231977e-26 17.34526 9.618897e-26 20.64109 0.000000e+00 0.001839 0.018179 0.001861 0.018278
2023-02-13 23:00:00.000 +01:00 0.012623 0.011749 0.023859 0.016444 0.016756 0.012244 0.002793 0.002041 0.003063 0.002238 0.003401 0.002485 0.037095 0.020862 0.001529 0.002533 0.002773 0.001198 0.002115 0.000914 0.011310 0.004887 0.014989 0.005354 0.014022 0.010450 0.053944 0.004016 0.054312 0.037035 64.19534 3.433975e-25 51.01035 1.717848e-24 83.9612 3.078732e-24 64.28724 3.057601e-24 43.0797 1.950208e-24 0.086543 0.004188 0.007364 0.002898 0.016020 0.007661 0.030491 0.017585 0.012041 0.010019 0.001767 0.003435 0.005187 0.009506 0.005163 0.009462 0.009032 0.015425 0.003833 0.006084 0.022495 0.025841 13.53016 8.613386e-26 12.6086 5.305003e-25 10.49419 3.407186e-25 8.190004 3.051250e-24 0.030186 0.033411 0.007174 0.003777 0.010693 0.008414 0.008871 0.009509 0.014659 0.009091 0.012744 0.009837 0.021902 0.011939 59.923 0.0 14.00829 0.000000e+00 5.560995 1.357677e-27 17.37406 5.393882e-27 126.116 1.875575e-25 21.51779 2.191737e-26 0.026467 0.028999 0.036583 0.005552 0.122498 0.003055 0.015923 0.000050 42.03592 6.468936e-26 23.02995 2.181941e-21 117.7475 1.679409e-23 25.77541 3.033984e-24 18.48974 8.841090e-26 20.08946 7.572553e-25 20.21883 4.763323e-26 24.84862 1.329217e-27 25.31222 1.323418e-27 30.19752 2.135992e-26 36.38173 2.084475e-26 34.99198 8.935195e-26 6.78462 0.000000e+00 33.2108 2.120093e-26 50.19061 2.271663e-26 47.19448 0.0 50.84296 0.000000e+00 50.56349 1.374829e-24 41.89281 1.290790e-24 9.602071 7.631413e-25 0.010174 0.005924 0.010691 0.006224 0.018969 0.011044 0.015426 0.008981 0.014654 0.008532 72.46398 3.332966e-25 71.66468 0.000000e+00 49.03616 0.0 0.021297 0.013189 0.017839 0.010679 0.017419 0.010080 0.028351 0.018637 0.005589 0.001925 0.004407 0.001518 0.005082 0.001750 0.006672 0.001652 0.022964 0.015893 0.007827 0.002128 0.002177 0.003756 0.000960 0.001657 0.001368 0.002360 0.012564 0.003573 0.037473 0.013563 0.021563 0.012073 0.005365 0.004026 0.002968 0.003073 0.003019 0.003126 0.002684 0.000991 0.003590 0.001752 0.039849 0.027568 0.025921 0.035213 0.012877 0.002592 0.031109 0.017047 0.114211 0.018371 0.028309 0.008150 0.003289 0.004057 0.002383 0.002940 0.002871 0.002621 0.026858 0.013982 0.042565 0.023762 0.188262 0.005870 0.002479 0.000240 0.004104 0.000397 0.020413 0.001975 0.017388 0.002418 0.004172 0.000813 0.002599 0.000506 0.154330 0.004122 0.001755 0.001015 0.014507 0.017366 0.001643 0.000895 0.001699 0.000926 0.002588 0.000742 0.013516 0.003873 0.025451 0.002697 0.032707 0.008361 0.071528 0.025767 0.025390 0.027938 0.031936 0.006277 0.008936 0.015760 0.011994 0.012120 0.003792 0.015417 0.004740 0.013128 0.004908 0.007065 0.005878 0.007710 0.004118 0.008439 0.003905 0.008002 0.006048 0.005914 0.021562 0.017382 0.009492 0.007652 0.035680 0.006673 11.13411 1.344570e-24 18.74616 0.000000e+00 27.98768 3.370467e-25 32.47894 3.437697e-25 0.030458 0.016265 0.025092 0.014963 0.007346 0.002593 0.019722 0.009555 0.026667 0.013247 0.033376 0.014458 0.018337 0.009571 0.012705 0.003231 0.004548 0.002648 0.003706 0.002158 10.56986 1.001101e-14 14.57936 1.380865e-14 19.87988 1.882899e-14 24.45074 2.315835e-14 23.61157 2.236347e-14 50.96676 4.827263e-14 21.2934 1.359316e-24 16.31768 2.134837e-24 21.15114 7.623296e-25 6.620245 3.288472e-26 5.387928 8.463556e-26 11.07489 2.132729e-26 6.690278 0.000000e+00 21.84747 2.991816e-25 18.86606 3.416249e-26 26.74521 1.318506e-23 17.53896 8.386463e-24 15.2731 6.860515e-24 7.780674 3.065275e-24 35.01923 3.316902e-14 18.98862 1.798540e-14 14.42032 3.648389e-24 16.00222 4.150936e-24 40.99183 8.379603e-26 37.58163 1.937900e-25 3.547835 5.276278e-27 34.96974 8.929517e-26 105.8952 0.000000e+00 80.62691 3.315349e-22 0.044353 0.001618 0.035899 0.004665 0.014670 0.006827 0.005118 0.002980 0.004004 0.002331 18.81272 8.689763e-23 0.025736 0.012165 0.075801 0.037022 8.426783 5.379443e-27 22.79576 7.565950e-25 33.26721 1.359164e-24 18.7625 1.353823e-24 14.43095 5.837866e-25 0.030215 0.005939 0.019490 0.020506 0.004268 0.002485 0.001856 0.001081 0.002381 0.000882 0.009636 0.005610 0.004157 0.002420 0.002922 0.001701 0.005519 0.001858 0.025229 0.009169 64.70937 0.0 80.91752 0.0 102.0578 2.956884e-24 0.014097 0.007842 0.015597 0.003054 0.026260 0.005143 42.44363 6.863511e-22 12.77701 5.280877e-23 27.49709 8.173778e-26 5.377964 3.473755e-26 2.779566 3.305011e-26 2.251996 1.182848e-26 9.412791 2.097700e-26 3.21121 8.470329e-26 2.603956 8.317249e-27 5.753166 1.071474e-25 ... 51.01035 7.634881e-25 83.9612 7.696831e-25 64.28724 1.325991e-24 43.0797 1.248133e-24 0.088127 0.004418 0.007500 0.002996 0.016317 0.007863 0.031057 0.017983 0.012265 0.010218 0.001800 0.003477 0.005283 0.009624 0.005259 0.009580 0.009200 0.015624 0.003904 0.006166 0.022913 0.026243 13.53016 3.388171e-25 12.6086 3.373918e-24 10.49419 8.580944e-26 8.190004 1.356111e-24 0.030740 0.034340 0.007307 0.003895 0.010891 0.008650 0.009035 0.009752 0.014931 0.009341 0.012981 0.010091 0.022309 0.012243 59.923 2.004137e-26 14.00829 5.208222e-27 5.560995 1.598605e-25 17.37406 3.386581e-25 126.116 2.230173e-26 21.51779 0.0 0.026962 0.029326 0.034437 0.006656 0.108074 0.004166 0.012268 0.000088 42.03592 1.905105e-25 23.02995 1.878140e-25 117.7475 0.000000e+00 25.77541 0.000000e+00 18.48974 3.401727e-25 20.08946 2.046252e-26 20.21883 5.586558e-27 24.84862 1.187250e-26 25.31222 1.679232e-27 30.19752 8.331704e-26 36.38173 0.000000e+00 34.99198 8.935195e-26 6.78462 2.116374e-26 33.2108 1.023282e-24 50.19061 1.714827e-24 47.19448 0.0 50.84296 3.682639e-25 50.56349 0.000000e+00 41.89281 1.370205e-24 9.602071 3.328046e-25 0.010364 0.006000 0.010891 0.006305 0.019324 0.011187 0.015714 0.009097 0.014928 0.008642 72.46398 0.000000e+00 71.66468 3.168207e-25 49.03616 3.333252e-25 0.021693 0.013412 0.018170 0.010861 0.017191 0.010909 0.026716 0.022098 0.005169 0.002372 0.004076 0.001871 0.004700 0.002157 0.006104 0.002083 0.020343 0.021206 0.005994 0.003746 0.002248 0.003708 0.000991 0.001635 0.001412 0.002329 0.007475 0.014174 0.038627 0.013541 0.022191 0.012054 0.005464 0.004140 0.003023 0.003152 0.003074 0.003206 0.002734 0.001023 0.003656 0.001803 0.040590 0.028306 0.039571 0.013104 0.013114 0.002702 0.031686 0.017532 0.079507 0.053341 0.028830 0.008397 0.003662 0.003505 0.002654 0.002540 0.003230 0.002228 0.027351 0.014384 0.043339 0.024556 0.190972 0.006193 0.002518 0.000250 0.004169 0.000414 0.020736 0.002062 0.017669 0.002516 0.004241 0.000843 0.003994 0.000190 0.156957 0.004315 0.001787 0.001044 0.014772 0.017789 0.001673 0.000922 0.001730 0.000954 0.002635 0.000768 0.013763 0.004013 0.025912 0.002826 0.033301 0.008670 0.072846 0.026736 0.025848 0.028463 0.032315 0.006479 0.009042 0.015973 0.012137 0.012319 0.003837 0.015589 0.004796 0.013300 0.004966 0.007182 0.005948 0.007841 0.004167 0.008576 0.003951 0.008131 0.006119 0.006034 0.021815 0.017791 0.009603 0.007830 0.036092 0.006885 11.13411 0.000000e+00 18.74616 0.000000e+00 27.98768 3.370467e-25 32.47894 8.216519e-26 0.031011 0.016977 0.025554 0.015415 0.007481 0.002676 0.020087 0.009837 0.020898 0.022310 0.033992 0.014897 0.018674 0.009869 0.012937 0.003351 0.004633 0.002682 0.003775 0.002185 10.56986 1.601792e-13 14.57936 2.209400e-13 19.87988 3.012656e-13 24.45074 3.705337e-13 23.61157 3.578166e-13 50.96676 7.723658e-13 21.2934 3.398290e-25 16.31768 8.414230e-26 21.15114 0.000000e+00 6.620245 1.198788e-26 5.387928 2.149698e-26 11.07489 0.0 6.690278 8.347781e-26 21.84747 2.991816e-25 18.86606 0.000000e+00 26.74521 1.018240e-23 17.53896 8.386463e-24 15.2731 6.860515e-24 7.780674 3.065275e-24 35.01923 5.306957e-13 18.98862 2.877617e-13 14.42032 1.354831e-24 16.00222 4.281133e-25 40.99183 5.361206e-25 37.58163 5.383056e-25 3.547835 2.110511e-26 34.96974 2.003576e-26 105.8952 0.0 80.62691 3.335332e-22 0.045167 0.001711 0.036566 0.004884 0.014943 0.007031 0.005213 0.003018 0.004079 0.002361 18.81272 8.659533e-23 0.026215 0.012595 0.077190 0.038310 8.426783 2.095524e-26 22.79576 0.000000e+00 33.26721 8.494776e-26 18.7625 8.461391e-26 14.43095 2.230933e-25 0.030568 0.006128 0.019852 0.021088 0.004348 0.002517 0.001891 0.001095 0.002426 0.000897 0.009816 0.005682 0.004234 0.002451 0.002977 0.001723 0.003939 0.004607 0.025701 0.009325 64.70937 0.0 80.91752 0.000000e+00 102.0578 7.392210e-25 0.014357 0.008107 0.015883 0.003185 0.026738 0.005361 42.44363 7.165161e-22 12.77701 5.619025e-23 27.49709 2.144340e-26 5.377964 0.000000e+00 2.779566 7.959043e-26 2.251996 4.380058e-26 9.412791 1.905699e-25 3.21121 8.308066e-27 2.603956 6.693012e-27 5.753166 2.281439e-25 17.9649 5.368832e-27 0.082039 0.017324 0.016248 0.002517 0.014018 0.002041 26.05582 1.026496e-23 0.007949 0.004672 0.016239 0.009987 25.21477 2.158086e-26 13.48946 2.146868e-26 8.799599 0.000000e+00 11.09779 1.884764e-25 26.07811 5.378880e-25 17.34526 0.000000e+00 20.64109 2.102439e-26 0.002716 0.008551 0.002748 0.008642

3 rows × 960 columns

Subcase 5: Specific Vectorized results + Specific Timestamps

For pipes we have interior point result values. These are usually found as vectors with the postfix VEC.

[36]:

available_result_props=s3s.GetResultProperties_from_elementType(s3s.ObjectTypes.Pipe,False)

[37]:

available_result_props

[37]:

['A',
 'ACALC',
 'CPI',
 'CPK',
 'DH',
 'DP',
 'DRAGRED',
 'DRAKONZ',
 'DSI',
 'DSK',
 'DTTR',
 'DWVERL',
 'DWVERLABS',
 'ETAAV',
 'FS',
 'HR',
 'HVEC',
 'IAKTIV',
 'IRTRENN',
 'JV',
 'JV2',
 'LAMBDA',
 'LECKEINAUS',
 'LECKMENGE',
 'LECKORT',
 'LINEPACK',
 'LINEPACKGEOM',
 'LINEPACKRATE',
 'MAINELEMENT',
 'MAV',
 'MI',
 'MK',
 'MKOND',
 'MMAX_INST',
 'MMIN_INST',
 'MVEC',
 'MVECMAX_INST',
 'MVECMIN_INST',
 'PAV',
 'PDAMPF',
 'PHR',
 'PHVEC',
 'PMAX',
 'PMIN',
 'PR',
 'PVEC',
 'PVECMAX_INST',
 'PVECMIN_INST',
 'QI2',
 'QK2',
 'QMAV',
 'QMI',
 'QMK',
 'QMMAX_INST',
 'QMMIN_INST',
 'QMVEC',
 'QSVB',
 'RHOAV',
 'RHOI',
 'RHOK',
 'RHOVEC',
 'SVEC',
 'TAV',
 'TI',
 'TK',
 'TTRVEC',
 'TVEC',
 'TVECMAX_INST',
 'TVECMIN_INST',
 'VAV',
 'VI',
 'VK',
 'VMAX_INST',
 'VMIN_INST',
 'VOLDA',
 'WALTERI',
 'WALTERK',
 'WVL',
 'ZAUS',
 'ZEIN',
 'ZHKNR',
 'ZVEC']

[38]:

available_result_vector_props=[available_result_props for available_result_props in available_result_props if "VEC" in available_result_props]

[39]:

available_result_vector_props

[39]:

['HVEC',
 'MVEC',
 'MVECMAX_INST',
 'MVECMIN_INST',
 'PHVEC',
 'PVEC',
 'PVECMAX_INST',
 'PVECMIN_INST',
 'QMVEC',
 'RHOVEC',
 'SVEC',
 'TTRVEC',
 'TVEC',
 'TVECMAX_INST',
 'TVECMIN_INST',
 'ZVEC']

[40]:

df_pipes = s3s.generate_element_results_dataframe(element_type=s3s.ObjectTypes.Pipe
                                        ,properties=["TTRVEC", "MVEC", "DTTR"]
                                        ,timestamps=[0, 5, -2]
                                        )

[2026-01-09 17:03:17,234] INFO in sir3stoolkit.mantle.dataframes: [results] Generating results dataframe for element type: ObjectTypes.Pipe
[2026-01-09 17:03:17,394] INFO in sir3stoolkit.mantle.dataframes: [Resolving Timestamps] 3 valid timestamp(s) will be used.
[2026-01-09 17:03:17,398] INFO in sir3stoolkit.mantle.dataframes: [Resolving tks] Retrieved 524 element(s) of element type ObjectTypes.Pipe.
[2026-01-09 17:03:17,402] INFO in sir3stoolkit.mantle.dataframes: [results] Using 3 result properties.
[2026-01-09 17:03:17,433] INFO in sir3stoolkit.mantle.dataframes: [results] Retrieving result values...
[2026-01-09 17:03:18,951] INFO in sir3stoolkit.mantle.dataframes: [results] Done. Shape: (3, 1572)

[41]:

df_pipes.head(3)

[41]:
tk 5442010239090746007 4917786378639043296 4762482310382009633 4987229536643024523 5722206630503885118 5089459212485379804 5526871502288882655 4809089329099085219 5170001087020228683 5625716875961234775 5501916898830363065 5192970129555982907 5027225217797463802 5107343838750080243 4840056338230495043 5700872284015490704 5290590848336792638 4781821593135991761 4770083637349644299 5140383994159421977 4615723899944629797 5485743457841402038 5061682782623660813 4868922965129592512 5253822763469470014 5468996363795343031 5339499657518903527 4811306899232458618 4928779983564758026 4965578769510488820 5600841315591171772 4995034655758156710 5209057104414292468 5726827761099671871 5080791944541542127 4996979568467922520 4893521402166887668 4943852467771545411 5294908835443772392 5407639481169980338 5494345815849234157 5559756735287401600 4688455252738739891 5120913591494019846 5189136483684313738 5027271755713739562 4843364651593046845 4763398616537422727 5211657964305638265 4899878437571936054 5017291090985710926 4968195666913259627 4872293615039533867 5073852406571450055 5460451359190976355 5680559127926603859 5701217076123185999 5343389149567015241 5004534437760811077 5638727652971481339 4933247170382646480 5144558095415012328 4676843093813396651 5238385499211955735 5431464167607748731 5021757307925561906 5735390708503613465 5602200558168325137 4976126317058169697 5611058499224570176 4951309552891536851 4734625425618016004 5003475594426980558 5199984776776235548 5146987453990281112 4664282009021425543 4730098385004060223 5143417057295500465 4870893641534242754 4751771958060245818 5431352512414392985 4756919352045195395 4950699445422043390 5443612009555325057 5130272059781459965 5030450908543536722 5425728209090108132 4897883139609927597 5385910423114382788 4815053638180850703 5520594566396266859 4822932207368532352 4943632133505495565 5136719248606301905 5222700144096421193 5209596079625295991 5215757535605464866 5089350764087843246 4922208128354560629 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property TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR ... TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR
timestamp
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64.70937\t64.70937\t64.70937\t64.70937\t64.709... 0\t0\t0\t0\t0\t0\t0\t0 64.70937 131.9464\t131.9464\t131.9464\t131.9464\t131.94... 0\t0\t0\t0\t0\t0\t0\t0\t0\t0 80.91752 102.0578\t92.77978\t83.5018\t74.22382\t64.9458... -1.164153E-10\t-1.164153E-10\t-1.164153E-10\t-... 102.0578 47.21349\t47.21349\t47.21349\t47.21349\t47.213... 0\t0\t0\t0\t0\t0 47.21349 0.04397528\t0.03918961\t0.03440395\t0.02961829 -0.9573587\t-0.9573587\t-0.9573587\t-0.9573587 0.014357 0.04262124\t0.03467954\t0.02673783 -0.6652863\t-0.6652863\t-0.6652863 0.015883 0.02673783\t0.01782522\t0.00891261\t0 -0.6652863\t-0.6652863\t-0.6652863\t-0.6652863 0.026738 0\t8.488726\t16.97745\t25.46618\t33.9549\t42.4... 5.573384E-09\t5.573384E-09\t5.573384E-09\t5.57... 42.44363 42.44363\t48.83213\t55.22064 2.868546E-09\t2.868546E-09\t2.868546E-09 12.77701 95.99157\t105.1573\t114.323\t123.4887 3.819878E-11\t3.819878E-11\t3.819878E-11\t3.81... 27.49709 67.1223\t67.1223 0\t0 5.377964 0\t2.779566 2.314664E-10\t2.314664E-10 2.779566 2.779566\t5.031562 1.907665E-10\t1.907665E-10 2.251996 5.031561\t14.44435 1.946319E-10\t1.946319E-10 9.412791 11.56833\t8.357121 -6.957634E-11\t-6.957634E-11 3.21121 8.357121\t5.753166 -6.934897E-11\t-6.934897E-11 2.603956 5.753166\t0 -2.723937E-10\t-2.723937E-10 5.753166 0\t8.98245\t17.9649 2.364686E-11\t2.364686E-11\t2.364686E-11 17.9649 0.1902957\t0.1851683\t0.1800409\t0.1749134\t0.... -18.21999\t-18.21999\t-18.21999\t-18.21999\t-1... 0.082039 0.1205711\t0.1151551\t0.1097392\t0.1043232 -16.35913\t-16.35913\t-16.35913\t-16.35913 0.016248 0.1065825\t0.1019098\t0.09723712\t0.09256443 -16.01235\t-16.01235\t-16.01235\t-16.01235 0.014018 5.642464E+07\t5.642463E+07\t5.642462E+07\t5.64... -8.58563E-10\t-8.58563E-10\t-8.58563E-10\t-8.5... 26.05582 0.1441706\t0.1468204\t0.1494702\t0.1521199 25.96414\t25.96414\t25.96414\t25.96414 0.007949 0.1497546\t0.1530023\t0.15625\t0.1594978\t0.16... 26.37425\t26.37425\t26.37425\t26.37425\t26.374... 0.016239 38.70423\t30.2993\t21.89438\t13.48946 -4.001777E-11\t-4.001777E-11\t-4.001777E-11\t-... 25.21477 13.48946\t6.74473\t0 -5.456968E-11\t-5.456968E-11\t-5.456968E-11 13.48946 2.140251E+07\t2.140251E+07 0\t0 8.799599 4.280501E+07\t4.2805E+07\t4.2805E+07 -1.78261E-10\t-1.78261E-10\t-1.78261E-10 11.09779 4.2805E+07\t4.280499E+07\t4.280498E+07\t4.2804... -1.964509E-10\t-1.964509E-10\t-1.964509E-10\t-... 26.07811 31.8792\t31.8792\t31.8792 0\t0\t0 17.34526 20.64109\t13.76073\t6.880364\t0 -4.365575E-11\t-4.365575E-11\t-4.365575E-11\t-... 20.64109 0\t0.00271617 8.957067\t8.957067 0.002716 0.04223924\t0.03949079 -8.957067\t-8.957067 0.002748

3 rows × 1572 columns

As can be seen, the vectorized result values are written as strings with “/” seperators. For better access we can extend these values to a multiindex using add_interior_points_as_multiindex().

[42]:

df_pipes_interior_points = s3s.add_interior_points_as_multiindex(df_pipes)

[43]:

df_pipes_interior_points.head(3)

[43]:
tk 5442010239090746007 4917786378639043296 4762482310382009633 4987229536643024523 5722206630503885118 5089459212485379804 5526871502288882655 4809089329099085219 5170001087020228683 5625716875961234775 5501916898830363065 5192970129555982907 5027225217797463802 5107343838750080243 4840056338230495043 5700872284015490704 5290590848336792638 4781821593135991761 4770083637349644299 5140383994159421977 4615723899944629797 5485743457841402038 5061682782623660813 4868922965129592512 5253822763469470014 5468996363795343031 5339499657518903527 4811306899232458618 4928779983564758026 4965578769510488820 5600841315591171772 4995034655758156710 5209057104414292468 5726827761099671871 5080791944541542127 4996979568467922520 4893521402166887668 4943852467771545411 5294908835443772392 5407639481169980338 ... 5547929108205842356 5325979640694265557 5309389718470399165 4858769154205497127 4744152276765399160 4832141333841349233 5685600617346450154 4794261027124244870 5299861566239260044 4919359344392474301 4819106626657300012 5634392781200984475 4895368922126406008 5377073214297285114 4806335761459244120 5445675821666151876 5151948180726626898 5216604222073162798 4922860284273709287 4623301797443553869 4936935202016711641 5547051071040108641 5320576812120795706 5693000264828698789 5411578293161860891 4905468706944801791 5579607382442232035 5506211537324438173 5542801165145139080 5013949825709681825 4631495679500266540 5268910820355280011 4673529796143308930 5502845593951347652 5269134948859572308 5491353045770208506 5351083508550202918 5405503540588733856 5409157591891833907 5288551187767515760 5273136311620767333 5331559348183931626 5263881428814102490 5139154449387664728 4919408196640282331 4957957828740199285 5499776682108862751 5285235772707481262 5373158549695106826
name Rohr V-K03S V-K13S Rohr V-K13S V-K23S Rohr V-K23S V-K33S Rohr V-K33S V-K43S Rohr V-K43S V-K53S Rohr V-K53S V-K63S Rohr V-K63S V-K73S Rohr V-K73S V-K83S Rohr V-K83S V-K93S Rohr V-K93S V-K103S Rohr V-K103S V-K113S Rohr V-K113S V-K123S Rohr V-K123S V-K133S Rohr V-K133S V-K143S Rohr V-K153S V-K163S Rohr V-K163S V-K143S Rohr V-K143S V-K173S Rohr V-K173S V-K183S Rohr V-K183S V-K193S Rohr V-K193S V-K203S Rohr V-K203S V-K213S Rohr V-K213S V-K223S Rohr V-K233S V-K243S Rohr V-K243S V-K253S Rohr V-K253S V-K263S Rohr V-K263S V-K273S Rohr V-K273S V-K153S Rohr V-K283S V-K293S Rohr V-K293S V-K303S Rohr V-K303S V-K313S Rohr V-K313S V-K323S Rohr V-K323S V-K333S Rohr V-K333S V-K03S Rohr V-K03S V-K343S Rohr V-K353S V-K363S Rohr V-K363S V-K373S Rohr V-K373S V-K383S Rohr V-K383S V-K393S Rohr V-K393S V-K403S Rohr V-K403S V-K413S ... Rohr R-K4573S R-K4583S Rohr R-K4583S R-K4593S Rohr R-K4593S R-K4603S Rohr R-K4603S R-K4613S Rohr R-K4613S R-K4313S Rohr R-K3893S R-K4623S Rohr R-K3563S R-K4633S Rohr R-K3303S R-K4523S Rohr R-K4523S R-K4643S Rohr R-K4643S R-K4173S Rohr R-K4653S R-K3413S Rohr R-K3413S R-K4663S Rohr R-K4663S R-K4673S Rohr R-K4673S R-K3363S Rohr R-K3063S R-K4543S Rohr R-K4543S R-K4653S Rohr R-K4683S R-K4693S Rohr R-K4693S R-K4703S Rohr R-K4703S R-K4713S Rohr R-K4713S R-K2713S Rohr R-K2643S R-K4723S Rohr R-K4723S R-K4733S Rohr R-K4733S R-K4743S Rohr R-K4743S R-K4753S Rohr R-K4753S R-K4763S Rohr R-K4433S R-K4773S Rohr R-K4773S R-K4783S Rohr R-K4783S R-K4793S Rohr R-K4793S R-K4803S Rohr R-K4803S R-K4813S Rohr R-K4813S R-K4823S Rohr R-K4823S R-K4833S Rohr R-K4833S R-K4843S Rohr R-K4843S R-K4853S Rohr R-K2953S R-K4863S Rohr R-K4863S R-K4873S Rohr R-K4873S R-K2633S Rohr R-K3243S R-K4353S Rohr R-K2953S R-K4883S Rohr R-K4883S R-K3053S Rohr R-K4893S R-K4903S Rohr R-K4903S R-K4913S Rohr R-K4913S R-K4923S Rohr R-K4923S R-K4933S Rohr R-K4933S R-K3223S Rohr R-K4583S R-K4943S Rohr R-K4943S R-K4953S Rohr V-TS-S V-K1403S Rohr R-TS-S R-K3883S
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property TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC ... TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR TTRVEC MVEC DTTR
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timestamp
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1.616880e-14 -1.164153e-10 -1.164153e-10 -1.164153e-10 -1.164153e-10 -1.164153e-10 -1.164153e-10 -1.164153e-10 -1.164153e-10 -1.164153e-10 -1.164153e-10 -1.164153e-10 -1.164153e-10 102.0578 47.21349 47.21349 47.21349 47.21349 47.21349 47.21349 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 47.21349 0.043975 0.039190 0.034404 0.029618 -0.957359 -0.957359 -0.957359 -0.957359 0.014357 0.042621 0.034680 0.026738 -0.665286 -0.665286 -0.665286 0.015883 0.026738 0.017825 0.008913 0 -0.665286 -0.665286 -0.665286 -0.665286 0.026738 0 8.488726 16.97745 25.46618 33.9549 42.44363 5.573384e-09 5.573384e-09 5.573384e-09 5.573384e-09 5.573384e-09 5.573384e-09 42.44363 42.44363 48.83213 55.22064 2.868546e-09 2.868546e-09 2.868546e-09 12.77701 95.99157 105.15730 114.32300 123.48870 3.819878e-11 3.819878e-11 3.819878e-11 3.819878e-11 27.49709 67.12230 67.12230 0.000000e+00 0.000000e+00 5.377964 0.00000 2.779566 2.314664e-10 2.314664e-10 2.779566 2.779566 5.031562 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25.96414 0.007949 0.149755 0.153002 0.156250 0.159498 0.162745 0.165993 26.37425 26.37425 26.37425 26.37425 26.37425 26.37425 0.016239 38.70423 30.2993 21.89438 13.48946 -4.001777e-11 -4.001777e-11 -4.001777e-11 -4.001777e-11 25.21477 13.48946 6.74473 0 -5.456968e-11 -5.456968e-11 -5.456968e-11 13.48946 21402510.0 2.140251e+07 0.000000e+00 0.000000e+00 8.799599 4.280501e+07 4.280500e+07 4.280500e+07 -1.782610e-10 -1.782610e-10 -1.782610e-10 11.09779 4.280500e+07 4.280499e+07 4.280498e+07 4.280497e+07 -1.964509e-10 -1.964509e-10 -1.964509e-10 -1.964509e-10 26.07811 31.87920 31.879200 31.87920 0.000000e+00 0.000000e+00 0.000000e+00 17.34526 20.64109 13.76073 6.880364 0.00000 -4.365575e-11 -4.365575e-11 -4.365575e-11 -4.365575e-11 20.64109 0 0.002716 8.957067 8.957067 0.002716 0.042239 0.039491 -8.957067 -8.957067 0.002748

3 rows × 5560 columns

Note that an additional multiindex is created that indexes the interior points. Non-vectorized properties get index -1 in the new multiindex .

We can access individual values as follows.

[44]:

df_pipes_interior_points.loc[
    "2023-02-13 00:00:00.000 +01:00",
    ("5442010239090746007", slice(None), slice(None), "MVEC", 2)
].item()

[44]:

14.68004

Merge model_data and Result Dataframes (for one timestamp)

Create Dataframes - For pipes

model_data

[45]:

df_pipes_model_data = s3s.generate_element_model_data_dataframe(element_type=s3s.ObjectTypes.Pipe
                                                            ,properties=["L", "DN"]
                                                            ,geometry=True
                                                            )

[2026-01-09 17:03:27,462] INFO in sir3stoolkit.mantle.dataframes: [model_data] Generating model_data dataframe for element type: ObjectTypes.Pipe
[2026-01-09 17:03:27,464] INFO in sir3stoolkit.mantle.dataframes: [model_data] Retrieved 524 element(s) of element type ObjectTypes.Pipe.
[2026-01-09 17:03:27,467] INFO in sir3stoolkit.mantle.dataframes: [Resolving model_data Properties] Using 2 model_data properties.
[2026-01-09 17:03:27,467] INFO in sir3stoolkit.mantle.dataframes: [model_data] Retrieving model_data properties ['L', 'DN'], geometry...
[2026-01-09 17:03:27,760] INFO in sir3stoolkit.mantle.dataframes: [model_data] Transforming DataFrame to GeoDataFrame successful with EPSG: 25832
[2026-01-09 17:03:27,762] INFO in sir3stoolkit.mantle.dataframes: [model_data] Done. Shape: (524, 4)

[46]:

df_pipes_model_data.head(3)

[46]:
tk L DN geometry
0 5442010239090746007 36.42935 150 LINESTRING (713620.268 5578828.419, 713602.295...
1 4917786378639043296 57.21781 125 LINESTRING (713602.295 5578860.106, 713574.062...
2 4762482310382009633 40.99482 125 LINESTRING (713574.062 5578909.873, 713553.84 ...

Results

[47]:

df_pipes_results = s3s.generate_element_results_dataframe(element_type=s3s.ObjectTypes.Pipe
                                                        ,properties=["DTTR", "PHR", "PVEC"]
                                                        ,timestamps=[0]
                                                        )

[2026-01-09 17:03:27,804] INFO in sir3stoolkit.mantle.dataframes: [results] Generating results dataframe for element type: ObjectTypes.Pipe
[2026-01-09 17:03:27,911] INFO in sir3stoolkit.mantle.dataframes: [Resolving Timestamps] Only static timestamp 2023-02-13 00:00:00.000 +01:00 is used
[2026-01-09 17:03:27,912] INFO in sir3stoolkit.mantle.dataframes: [Resolving Timestamps] 1 valid timestamp(s) will be used.
[2026-01-09 17:03:27,915] INFO in sir3stoolkit.mantle.dataframes: [Resolving tks] Retrieved 524 element(s) of element type ObjectTypes.Pipe.
[2026-01-09 17:03:27,917] INFO in sir3stoolkit.mantle.dataframes: [results] Using 3 result properties.
[2026-01-09 17:03:27,946] INFO in sir3stoolkit.mantle.dataframes: [results] Retrieving result values...
[2026-01-09 17:03:28,920] INFO in sir3stoolkit.mantle.dataframes: [results] Done. Shape: (1, 1572)

[48]:

df_pipes_results.head(3)

[48]:
tk 5442010239090746007 4917786378639043296 4762482310382009633 4987229536643024523 5722206630503885118 5089459212485379804 5526871502288882655 4809089329099085219 5170001087020228683 5625716875961234775 5501916898830363065 5192970129555982907 5027225217797463802 5107343838750080243 4840056338230495043 5700872284015490704 5290590848336792638 4781821593135991761 4770083637349644299 5140383994159421977 4615723899944629797 5485743457841402038 5061682782623660813 4868922965129592512 5253822763469470014 5468996363795343031 5339499657518903527 4811306899232458618 4928779983564758026 4965578769510488820 5600841315591171772 4995034655758156710 5209057104414292468 5726827761099671871 5080791944541542127 4996979568467922520 4893521402166887668 4943852467771545411 5294908835443772392 5407639481169980338 5494345815849234157 5559756735287401600 4688455252738739891 5120913591494019846 5189136483684313738 5027271755713739562 4843364651593046845 4763398616537422727 5211657964305638265 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property DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC ... DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC DTTR PHR PVEC
timestamp
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1.7946\t1.779885\t1.76517\t1.750455 16.31768 8.414230e-26 1.750455\t1.718575\t1.686695 21.15114 8.483443e-26 1.686695\t1.684735\t1.68277\t1.68081 6.620245 3.288472e-26 1.68081\t1.688655 5.387928 2.104679e-26 1.688655\t1.697485 11.07489 0.0 1.697485\t1.68473\t1.67198 6.690278 8.347781e-26 1.771055\t1.71906 21.84747 8.901271e-26 1.71906\t1.5935\t1.46794\t1.342375 18.86606 1.921640e-26 1.342375\t1.175615\t1.00885 26.74521 3.003416e-24 1.11676\t1.18673\t1.256705\t1.32668 17.53896 2.161623e-24 1.32668\t1.404665\t1.482655 15.2731 3.049118e-24 1.482655\t1.548865\t1.61508 7.780674 3.348380e-25 1.61508\t1.688655 35.01923 5.306936e-13 1.688655\t1.712195\t1.73574\t1.759285\t1.782825 18.98862 2.877608e-13 1.782825\t1.78871\t1.7946 14.42032 2.115087e-24 1.7946\t1.791655\t1.78871 16.00222 4.316010e-25 1.78871\t1.779885\t1.771055 40.99183 2.144482e-24 1.01962\t1.0465\t1.073375\t1.100255\t1.127135\... 37.58163 2.105639e-24 1.15401\t1.18393\t1.21385\t1.243765\t1.273685 3.547835 2.110511e-26 1.273685\t1.285455 34.96974 0.0 1.285455\t1.31464\t1.343825\t1.373005\t1.40219 105.8952 0.0 1.40219\t1.43162\t1.46105\t1.49048\t1.51991\t1... 80.62691 3.361898e-22 2.26186\t2.26154\t2.261215\t2.260895\t2.26057\... 36.44118 0.0 2.778015\t2.764475\t2.75094\t2.7374\t2.723865 31.60874 0.0 2.723865\t2.725335\t2.726805\t2.72828\t2.72975 0.048071 0.00153 2.72975\t2.73181\t2.733875\t2.73594 0.038927 0.004358 2.73594\t2.73461\t2.733275\t2.731945\t2.730615 0.01592 0.006248 2.730615\t2.732715\t2.73481\t2.73691 0.005553 0.002676 3.707935\t3.71866\t3.72938 0.004345 0.002093 3.72938\t3.751485\t3.773595 18.81272 8.681118e-23 3.8852\t3.842265\t3.799335 15.6488 0.0 3.799335\t3.814945\t3.830555 0.027928 0.011203 3.473825\t3.480245\t3.486665\t3.493085\t3.4995 45.47781 0.0 2.890205\t2.931055\t2.971905\t3.012755\t3.0536... 0.082113 0.034168 3.094455\t3.08212\t3.06979\t3.057455\t3.045125... 34.57665 0.0 2.946455\t2.86502\t2.783585\t2.70215\t2.620715 8.426783 2.095524e-26 1.6298\t1.63863 22.79576 3.411913e-25 1.63863\t1.65269\t1.66675\t1.68081 33.26721 1.359164e-24 1.68081\t1.69528\t1.709745\t1.724215\t1.738685 18.7625 7.615252e-25 1.738685\t1.751435\t1.76419 14.43095 9.629093e-25 1.76419\t1.76762\t1.771055 0.032542 0.005464 4.034015\t4.03514\t4.036265\t4.03739\t4.038515 0.021149 0.018737 2.717705\t2.79474\t2.871775\t2.94881\t3.025845 16.76996 0.0 3.787395\t3.780495\t3.773595 0.004631 0.002231 3.773595\t3.812515\t3.85144 0.002014 0.00097 3.85144\t3.8852 0.002583 0.000796 3.532125\t3.53519 0.010455 0.005038 3.53519\t3.540925\t3.54666\t3.552395\t3.55813 0.00451 0.002173 3.55813\t3.547395\t3.53666 0.00317 0.001528 3.53666\t3.538995 0.004195 0.004084 3.430635\t3.45223\t3.473825 0.027372 0.008274 3.473825\t3.482155\t3.490485\t3.49881\t3.50714... 64.70937 0.0 4.364985\t4.364985\t4.364985\t4.364985\t4.3649... 80.91752 1.355253e-24 4.364985\t4.364985\t4.364985\t4.364985\t4.3649... 102.0578 1.182754e-23 4.364985\t4.177625\t3.99026\t3.802895\t3.61553... 47.21349 5.428936e-24 2.30399\t2.308895\t2.3138\t2.318705\t2.32361\t... 0.015279 0.007224 1.875065\t1.90352\t1.93198\t1.960435 0.0169 0.002843 1.960435\t1.963785\t1.967135 0.028449 0.004785 1.967135\t1.98095\t1.994765\t2.008575 42.44363 7.016279e-22 2.008575\t2.0271\t2.04562\t2.064145\t2.082665\... 12.77701 5.189308e-23 2.10119\t2.108545\t2.1159 27.49709 7.597578e-25 1.285455\t1.303115\t1.320775\t1.33843 5.377964 3.388130e-25 1.33843\t1.34432 2.779566 7.959043e-26 1.34432\t1.346275 2.251996 4.369624e-26 1.346275\t1.34824 9.412791 2.127350e-26 1.34824\t1.35707 3.21121 8.308066e-27 1.35707\t1.36099 2.603956 4.377348e-26 1.36099\t1.362955 5.753166 3.474229e-26 1.362955\t1.36394 17.9649 5.368832e-27 1.36394\t1.372275\t1.380615 0.087379 0.015389 2.458545\t2.438945\t2.41935\t2.39975\t2.38015\... 0.017305 0.002236 2.14495\t2.121255\t2.09756\t2.073865 0.01493 0.001814 2.073865\t2.05324\t2.03262\t2.012 26.05582 4.146824e-24 1\t1.03892\t1.07784\t1.11676 0.008467 0.004144 2.458545\t2.477425\t2.496305\t2.515185 0.017297 0.008859 2.515185\t2.55953\t2.603875\t2.64822\t2.692565... 25.21477 0.0 1.34039\t1.32829\t1.316195\t1.304095 13.48946 8.444945e-26 1.304095\t1.29625\t1.2884 8.799599 1.917243e-25 1.2884\t1.26682 11.09779 1.962478e-25 1.26682\t1.241315\t1.21581 26.07811 7.555519e-25 1.21581\t1.179845\t1.143875\t1.107905 17.34526 7.066944e-26 1.63863\t1.5111\t1.383575 20.64109 0.0 1.383575\t1.278615\t1.173655\t1.06869 0.002894 0.007571 4.83963\t4.8454 0.002928 0.007658 3.981985\t3.997365

1 rows × 1572 columns

Merge

[49]:

df_pipes_results.columns = df_pipes_results.columns.droplevel([1, 2])
df_pipes_results = df_pipes_results.T.unstack(level=0).T
df_pipes_results = df_pipes_results.droplevel(0, axis=0)
df_pipes = df_pipes_model_data.merge(on="tk",
                    how="outer",
                    right=df_pipes_results)

[50]:

df_pipes.head(3)

[50]:
tk L DN geometry DTTR PHR PVEC
0 4614463970292122863 7.780674 999 LINESTRING (714262.483 5578857.42, 714269.543 ... 7.780674 0.0 1.61508\t1.688655
1 4615723899944629797 64.287240 999 LINESTRING (713738.297 5579219.902, 713793.23 ... 64.28724 0.0 3.304885\t3.345665\t3.386445\t3.427225\t3.4680...
2 4621030304810285220 3.956838 100 LINESTRING (713650.613 5578990.488, 713649.498... 0.002291 0.000835 2.210375\t2.19867

Expand vectorized results

multiindex

[51]:

df_vector_multiindex = s3s.add_interior_points_as_multiindex(df_pipes)

[52]:

df_vector_multiindex.head(3)

[52]:
tk L DN geometry DTTR PHR PVEC
interior points -1 -1 -1 -1 -1 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
0 4614463970292122863 7.780674 999 LINESTRING (714262.483 5578857.42, 714269.543 ... 7.780674 0.0 1.615080 1.688655 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
1 4615723899944629797 64.287240 999 LINESTRING (713738.297 5579219.902, 713793.23 ... 64.28724 0.0 3.304885 3.345665 3.386445 3.427225 3.468005 3.508785 3.549565 3.590345 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
2 4621030304810285220 3.956838 100 LINESTRING (713650.613 5578990.488, 713649.498... 0.002291 0.000835 2.210375 2.198670 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN

flat cols

[53]:

df_vector_flat = s3s.add_interior_points_as_flat_cols(df_pipes)

[54]:

df_vector_flat.head(3)

[54]:
tk L DN geometry DTTR PHR PVEC_0 PVEC_1 PVEC_2 PVEC_3 PVEC_4 PVEC_5 PVEC_6 PVEC_7 PVEC_8 PVEC_9 PVEC_10 PVEC_11 PVEC_12 PVEC_13 PVEC_14 PVEC_15 PVEC_16 PVEC_17
0 4614463970292122863 7.780674 999 LINESTRING (714262.483 5578857.42, 714269.543 ... 7.780674 0.0 1.615080 1.688655 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
1 4615723899944629797 64.287240 999 LINESTRING (713738.297 5579219.902, 713793.23 ... 64.28724 0.0 3.304885 3.345665 3.386445 3.427225 3.468005 3.508785 3.549565 3.590345 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
2 4621030304810285220 3.956838 100 LINESTRING (713650.613 5578990.488, 713649.498... 0.002291 0.000835 2.210375 2.198670 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN