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https://github.com/13hannes11/UU_NCML_Project.git
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rename variable to vote_column_to_title to more clearly show its function
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@@ -8,7 +8,7 @@ data = pd.DataFrame()
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name_column = 'Member'
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vote_column = 'Vote'
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column_to_filename = {}
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vote_column_to_title = {}
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voting_features = {'Aye':0, 'No':1, 'No Vote Recorded':2}
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for dirname, _, filenames in os.walk('./uk/csv'):
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@@ -30,7 +30,7 @@ for dirname, _, filenames in os.walk('./uk/csv'):
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df=df.rename(columns={vote_column:vote_column_name})
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# Map column name of vote to title -> allows retrieving what the vote was about
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column_to_filename[vote_column_name] = title_df.iat[2,0]
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vote_column_to_title[vote_column_name] = title_df.iat[2,0]
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if data.empty:
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# if first file that is loaded set data equal to data from first file
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@@ -39,5 +39,5 @@ for dirname, _, filenames in os.walk('./uk/csv'):
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# merge data with already loaded data
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data = data.merge(df[[name_column, vote_column_name]], on=name_column)
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print(column_to_filename)
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print(vote_column_to_title)
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print(data)
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