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rename variable to vote_column_to_title to more clearly show its function

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Hannes Kuchelmeister
2021-04-26 18:29:23 +02:00
parent 5c0fce0384
commit a249479e56
1 changed files with 3 additions and 3 deletions
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6
preprocess_uk.py
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@@ -8,7 +8,7 @@ data = pd.DataFrame()
name_column = 'Member' name_column = 'Member'
vote_column = 'Vote' vote_column = 'Vote'
column_to_filename = {} vote_column_to_title = {}
voting_features = {'Aye':0, 'No':1, 'No Vote Recorded':2} voting_features = {'Aye':0, 'No':1, 'No Vote Recorded':2}
for dirname, _, filenames in os.walk('./uk/csv'): for dirname, _, filenames in os.walk('./uk/csv'):
@@ -30,7 +30,7 @@ for dirname, _, filenames in os.walk('./uk/csv'):
df=df.rename(columns={vote_column:vote_column_name}) df=df.rename(columns={vote_column:vote_column_name})
# Map column name of vote to title -> allows retrieving what the vote was about # Map column name of vote to title -> allows retrieving what the vote was about
column_to_filename[vote_column_name] = title_df.iat[2,0] vote_column_to_title[vote_column_name] = title_df.iat[2,0]
if data.empty: if data.empty:
# if first file that is loaded set data equal to data from first file # if first file that is loaded set data equal to data from first file
@@ -39,5 +39,5 @@ for dirname, _, filenames in os.walk('./uk/csv'):
# merge data with already loaded data # merge data with already loaded data
data = data.merge(df[[name_column, vote_column_name]], on=name_column) data = data.merge(df[[name_column, vote_column_name]], on=name_column)
print(column_to_filename) print(vote_column_to_title)
print(data) print(data)