Created
September 16, 2021 17:14
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scale data with pandas without warnings
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| scale_cols = ['Time','Amount'] | |
| scaler = StandardScaler() | |
| # fit scaler | |
| scaler.fit(train_df[scale_cols].to_numpy()) | |
| # make copies of dataframes | |
| train_df_ = train_df.copy() | |
| val_df_ = val_df.copy() | |
| test_df_ = test_df.copy() | |
| # apply scaler | |
| train_df_.loc[:,scale_cols] = scaler.transform(train_df[scale_cols].values) | |
| val_df_.loc[:,scale_cols] = scaler.transform(val_df[scale_cols].values) | |
| test_df_.loc[:,scale_cols] = scaler.transform(test_df[scale_cols].values) |
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