Answers for "pandas columns without nan"

2

pandas filter non nan

filtered_df = df[df['name'].notnull()]
Posted by: Guest on March-03-2021
1

number of columns with no missing values

null_cols = df.columns[df.isnull().all()]
df.drop(null_cols, axis = 1, inplace = True)
Posted by: Guest on April-15-2020

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