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| from sklearn.feature_selection import VarianceThreshold | |
| print(df_train.shape) #output (143, 59) | |
| var_filter = VarianceThreshold(threshold = 0.0) | |
| train = var_filter.fit_transform(df_train) | |
| #to get the count of features that are not constant | |
| print(train.shape()) # output (143, 56) | |
| #or | |
| print(len(df_train.columns[var_filter.get_support()])) #output 56 |
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