sort a dataframe by a column valuepython
>>> df.sort_values(by=['col1'])
col1 col2 col3
0 A 2 0
1 A 1 1
2 B 9 9
5 C 4 3
4 D 7 2
3 NaN 8 4
sort a dataframe by a column valuepython
>>> df.sort_values(by=['col1'])
col1 col2 col3
0 A 2 0
1 A 1 1
2 B 9 9
5 C 4 3
4 D 7 2
3 NaN 8 4
sort dataframe by column
df.sort_values(by='col1', ascending=False, na_position='first', inplace=True)
python dataframe sort by column name
>>> result = df.sort(['A', 'B'], ascending=[1, 0])
sort a dataframe
sort_na_first = gapminder.sort_values('lifeExp',na_position='first')
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