pandas not in list
>>> df
countries
0 US
1 UK
2 Germany
3 China
>>> countries
['UK', 'China']
>>> df.countries.isin(countries)
0 False
1 True
2 False
3 True
Name: countries, dtype: bool
>>> df[df.countries.isin(countries)]
countries
1 UK
3 China
>>> df[~df.countries.isin(countries)]
countries
0 US
2 Germanypandas 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) ]Copyright © 2021 Codeinu
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