pandas determine percentage of nans in column
>>> flights.isna().mean().round(4) * 100pandas determine percentage of nans in column
>>> flights.isna().mean().round(4) * 100find percentage of missing values in a column in python
features_with_na=[features for features in dataset.columns if dataset[features].isnull().sum()>0]
for feature in features_with_na:
print(feature, np.round(dataset[feature].isnull().mean(),4), ' %missing values')Copyright © 2021 Codeinu
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