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Padhma/data preprocessing.py

Created July 9, 2021 18:54
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data preprocessing.py
# converting Star, Fork and Watch columns to numeric by replacing 'k' with 1000
github_df['Star'] = github_df['Star'].apply(lambda x: float(x.rstrip('k'))*1000 if x.endswith('k') else float(x))
github_df['Fork'] = github_df['Fork'].apply(lambda x: float(x.rstrip('k'))*1000 if x.endswith('k') else float(x))
github_df['Watch'] = github_df['Watch'].apply(lambda x: float(x.rstrip('k'))*1000 if 'k' in x else float(x))
# Remove , from issue and commits
github_df['Issues'] = github_df['Issues'].apply(lambda x: x.replace(',',''))
github_df['Commits'] = github_df['Commits'].apply(lambda x: x.replace(',',''))
# Convert multiple object columns to numeric
cols = ['Issues','Pull_Requests','Commits','Contributors']
github_df[cols] = github_df[cols].apply(pd.to_numeric, errors='coerce', axis=1)
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