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Features/1550 extension of load npy from path to csv-files with same functionality #1551
Features/1550 extension of load npy from path to csv-files with same functionality #1551
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…h_to_csv-fIles_with_same_functionality
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Thank you for the PR! |
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #1551 +/- ##
==========================================
- Coverage 92.07% 92.06% -0.01%
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Files 83 83
Lines 12144 12180 +36
==========================================
+ Hits 11181 11214 +33
- Misses 963 966 +3
Flags with carried forward coverage won't be shown. Click here to find out more. ☔ View full report in Codecov by Sentry. |
discussed in the PR talk: we will make pandas an optional dependency, as already the case for h5py etc. |
…les_with_same_functionality' of github.com:helmholtz-analytics/heat into features/1550-Extension_of_load_npy_from_path_to_csv-fIles_with_same_functionality
…h_to_csv-fIles_with_same_functionality
Thank you for the PR! |
Thank you for the PR! |
Thank you for the PR! |
So it works perfectly fine with the workstation, I'll just try to test out using ht.MPI_WORLD.Barrier() on different places |
Thank you for the PR! |
…h_to_csv-fIles_with_same_functionality
…les_with_same_functionality' of github.com:helmholtz-analytics/heat into features/1550-Extension_of_load_npy_from_path_to_csv-fIles_with_same_functionality
Thank you for the PR! |
…h_to_csv-fIles_with_same_functionality
Thank you for the PR! |
…h_to_csv-fIles_with_same_functionality
Thank you for the PR! |
…h_to_csv-fIles_with_same_functionality
Thank you for the PR! |
…h_to_csv-fIles_with_same_functionality
Thank you for the PR! |
lines 1187/88, 1268/87 are not covered by tests so far. It looks like that there is no remainder in the devision (?) |
…les_with_same_functionality' of github.com:helmholtz-analytics/heat into features/1550-Extension_of_load_npy_from_path_to_csv-fIles_with_same_functionality
Thank you for the PR! |
…h_to_csv-fIles_with_same_functionality
Thank you for the PR! |
…h_to_csv-fIles_with_same_functionality
Thank you for the PR! |
…h_to_csv-fIles_with_same_functionality
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Changes look fine :)
Thanks for your work 👍
Thank you for the PR! |
Due Diligence
Description
Adds the same feature of PR#1388 now for .csv-files. Loads multiple .csv-files at once and concatenates them along an axis given as an input by the user. A function can be passed on as a parameter. The function would edit the pandas.Dataframe in way that it can be converted into a NumPy-Array without any problems
Issue/s resolved: #1550
Changes proposed:
Type of change
Memory requirements
Performance
Does this change modify the behaviour of other functions? If so, which?
no