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pandas isin

# Filter dataframe by multiple values in a column or multiple columns
# SQL equivalent: WHERE columnA IN ('val1', 'val2') AND columnB > 70

df[ (df.columnA.isin(['val1', 'val2'])) & (df['columnB'] > 70) ]

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pandas df isin

other = pd.DataFrame({'num_legs': [8, 3], 'num_wings': [0, 2]},
...                      index=['spider', 'falcon'])
>>> df.isin(other)
        num_legs  num_wings
falcon     False       True
dog        False      False

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