drop rows with any missing value
df.dropna(axis=0, how='any', inplace=True)
drop rows with any missing value
df.dropna(axis=0, how='any', inplace=True)
pandas remove row if missing value in column
# remove all rows without a value in the 'name' column
df = df[df['name'].notna()]
drop the rows where all elements are missing in a pandas dataframe
df.dropna(how='all')
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