Feature/handle nans #89
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outdated due to using struct from excel sheet
due to future warning for pandas depreciating unique function for lists
…' into feature/extend_steel_example # Conflicts: # examples/industry/data_adapter_industry.py
…' into feature/extend_steel_example # Conflicts: # poetry.lock
Now handeling also other columns than min/max
Now handeling also other columns than min/max
…dapter_oemof into feature/handle_nans
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Added functionality to find and replace irrelevant Searches for where investment is allowed
If no Investment is allowed and there have been periods with investment before ("decommissioning of investment") this may lead to issues since capacity might still be existing and values will be assigned as they were not intended. If the user wants to use specific data here they should provide it (: Searches for decomissioned Processes
Moreover moved replacement of min/max values from #78 to seperate function More documentation has been written in code docstrings. |
data_adapter_oemof/calculations.py
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| # no investment in decommissioning processes | ||
| # no capacity can be set on investment objects | ||
| if not any([x in capacity_columns for x in group_df.columns]): |
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Kindly asking for opinion on if/else statement since it actually is not needed.
I added it because data where capacity is set and investment is allowed at the same time the nans cannot be handled by the developed logic so far.
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Adapted to use pd.DataFrame.where in stead to fill in nans. |
Handlling Nans is crucial for data_adapter_oemof to work.
Some data might be missing due to
irrelevancethis data still has to be filled since oemof.solph multi period cannot take cahnging values includingNoneand fill with defaults. Therefore the Nan handler is necessary.Continue work from #78