remove all rows without a value pandas
# Keeps only rows without a missing value
df = df[df['name'].notna()]
remove all rows without a value pandas
# Keeps only rows without a missing value
df = df[df['name'].notna()]
delete df rows where column value = 0: mult col's
df.loc[(df[['a', 'b']] != 0).all(axis=1)]
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