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Filetring data in tpl file

Open redarmy27 opened this issue 2 years ago • 3 comments

Hello i have an issue with filtering data in tpl file, i have used the same tpl file shown in the examples, hereafter my code lines : import pyfas as fa import pandas as pd import matplotlib.pyplot as plt tpl_path = 'XX/XX/XX' fname = '11_2022_BD.tpl' tpl=fa.Tpl(tpl_path+fname) tpl.filter_data("PT") i got the error 'Tpl' object has no attribute 'filter_data' all the steps are working except the last one.

redarmy27 avatar Nov 08 '22 09:11 redarmy27

Hi, just checked. The documentation is not updated, for consistency the the filter_data method has been modified and renamed view_trends. It works like below:

In [6]: import pyfas as fa

In [7]: tpl = fa.Tpl('125.tpl')

In [8]: tpl.view_trends()
Out[8]:
          Index Variable                                           Position   Unit                                        Description
Filter:
0             1   VOLGBL                                             GLOBAL      -           Global max volume error since last write
1             2       HT                                             GLOBAL      S                                          Time step
2             3      HOL   SECTION - Br - PIPELINE - PIPE - PIPE-1 - NR - 1      -   Holdup (liquid volume fraction including solids)
3             4    HOLWT   SECTION - Br - PIPELINE - PIPE - PIPE-1 - NR - 1      -                              Water volume fraction
4             5       ID      BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR                                                       (-)
5             6       PT   SECTION - Br - PIPELINE - PIPE - PIPE-1 - NR - 1     PA                                           Pressure
6             7     OILC                                      Br - PIPELINE     M3                        Total oil content in branch
7             8     WATC                                      Br - PIPELINE     M3                      Total water content in branch
8             9     GASC                                      Br - PIPELINE     M3                              Gas content in branch
9            10   OILCFR                                      Br - PIPELINE      -                      Oil volume fraction in branch
10           11   WATCFR                                      Br - PIPELINE      -                    Water volume fraction in branch
11           12   GASCFR                                      Br - PIPELINE      -                      Gas volume fraction in branch
12           13       QT  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2   M3/S                                  Total volume flow
13           14       QG  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2   M3/S                                    Gas volume flow
14           15      QLT  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2   M3/S                           Total liquid volume flow
15           16    QLTHL  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2   M3/S                           Volumetric flow rate oil
16           17    QLTWT  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2   M3/S                         Volumetric flow rate water
17           18     QGST  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2  SM3/S             Gas volume flow at standard conditions
18           19     QOST  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2  SM3/S             Oil volume flow at standard conditions
19           20    QWTST  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2  SM3/S  Total water (liquid and vapour) volume flow at...
20           21       GT  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2   KG/S                                    Total mass flow
21           22       GG  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2   KG/S                                      Gas mass flow
22           23       GL  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2   KG/S                              Liquid bulk mass flow
23           24   GTSOUR                                SOURCE - OIL_SOURCE   KG/S                                   Source mass rate
24           25   GTSOUR                              SOURCE - WATER_SOURCE   KG/S                                   Source mass rate

In [9]: tpl.view_trends('Q')
Out[9]:
           Index Variable                                           Position   Unit                                        Description
Filter: Q
0             13       QT  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2   M3/S                                  Total volume flow
1             14       QG  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2   M3/S                                    Gas volume flow
2             15      QLT  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2   M3/S                           Total liquid volume flow
3             16    QLTHL  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2   M3/S                           Volumetric flow rate oil
4             17    QLTWT  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2   M3/S                         Volumetric flow rate water
5             18     QGST  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2  SM3/S             Gas volume flow at standard conditions
6             19     QOST  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2  SM3/S             Oil volume flow at standard conditions
7             20    QWTST  BOUNDARY - Br - PIPELINE - PIPE - PIPE-1 - NR - 2  SM3/S  Total water (liquid and vapour) volume flow at...

In [10]:

gpagliuca avatar Nov 08 '22 10:11 gpagliuca

Thank you for your reply, it is working now indeed, however i still have an issue when using the command : tpl.view_trends('PT') i can not see the pressure trend position, only dots, as you see below : Index Variable ... Unit Description Filter: PT ...
0 3 PT ... PA Pressure 1 5 PT ... PA Pressure 2 9 PT ... PA Pressure

redarmy27 avatar Nov 11 '22 12:11 redarmy27

A bit difficult to understand like this, what are you using to call view_trends, a plane python console or maybe ipython? view_trends returns a pandas dataframe, you can check whether other data-frames are correctly visualized.

To force the full visualization you can use this:

import pandas as pd
pd.set_option('display.max_columns', None)

gpagliuca avatar Nov 17 '22 17:11 gpagliuca