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 column not in list
col_list = ['Fx', 'Fy','Fz']
col_mask = ~(df.columns.isin(col_list)) # boolean list of whether each col in df is in col_list
other_cols = data.columns[col_mask]
df[other_cols] = ...isnotin python
import pandas as pd
>>> df
country
0 US
1 UK
2 Germany
3 China
>>> countries_to_keep
['UK', 'China']
>>> df.country.isin(countries_to_keep)
0 False
1 True
2 False
3 True
Name: country, dtype: bool
>>> df[df.country.isin(countries_to_keep)]
country
1 UK
3 China
>>> df[~df.country.isin(countries_to_keep)]
country
0 US
2 GermanyCopyright © 2021 Codeinu
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