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pandas drop missing values for any column

# Drop rows which contain any NaN value in the selected columns
mod_df = df.dropna( how='any',
                    subset=['Name', 'Age'])
Source by stackoverflow.com #
 
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Tagged: #pandas #drop #missing #values #column
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