Passing on the principle of netting generation & consumption for generation of specific units. - #119
Open
jpaduart wants to merge 3 commits into
Open
Passing on the principle of netting generation & consumption for generation of specific units.#119jpaduart wants to merge 3 commits into
jpaduart wants to merge 3 commits into
Conversation
- Pass on nett argument to query_generation_per_plant - Refactor and generalize _calc_nett_and_drop_reduntant_columns to cope with 3 column levels (unit/psr_type/aggregation) - Warning: this removes df.squeeze() at the end of the netting. df.squeeze() gives inconsistent results according to the number of columns in a dataframe (structure is different if by coincidence only one technology or plant unit is present in the data).
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Warning: I removed the df.squeeze() at the end of the netting, because it's an unsafe operation on dataframes:
df.squeeze() gives inconsistent results according to the number of columns in a dataframe. The structure of the columns becomes different if (by coincidence) only a single psr_type (in case of aggregated generation) or a single plant unit (in case of unit generation) is present in the queried data.
A specific column level can be removed with the following operation (=safer than squeeze):
df = df.droplevel(1, level_index)
(removing level_index of the multiindex column axis).