Answers for "pandas sort table"

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')