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ChristopherDaigle/movie_data_scale.py

Created June 1, 2020 01:57
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movie_data_scale.py
from sklearn.preprocessing import MinMaxScaler
scaler = MinMaxScaler(feature_range=(0, 1))
numerical = ['orig_title_len', 'overview_len', 'tagline_len', 'title_len',
'popularity', 'runtime', 'vote_average', 'vote_count']
df_impute_log_minmax = pd.DataFrame(data = df_1_impute_fill).copy()
df_impute_log_minmax[numerical] = scaler.fit_transform(df_1_impute_fill[numerical])
# Preserve final df transformation:
df_impute_transformed = df_impute_log_minmax
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