how to sort in pandas
// Single sort
>>> df.sort_values(by=['col1'],ascending=False)
// ascending => [False(reverse order) & True(default)]
// Multiple Sort
>>> df.sort_values(by=['col1','col2'],ascending=[True,False])
// with apply()
>>> df[['col1','col2']].apply(sorted,axis=1)
// axis = [1 & 0], 1 = 'columns', 0 = 'index'sort by dataframe
DataFrame.sort_values(self, by, axis=0, ascending=True,
inplace=False, kind='quicksort',
na_position='last',
ignore_index=False)
# Example
df.sort_values(by=['ColToSortBy'])python df pandas sort by column
>>> df.sort_values("city08")
city08 cylinders fuelType ... mpgData trany year
99 9 8 Premium ... N Automatic 4-spd 1993
1 9 12 Regular ... N Manual 5-spd 1985
80 9 8 Regular ... N Automatic 3-spd 1985
47 9 8 Regular ... N Automatic 3-spd 1985
3 10 8 Regular ... N Automatic 3-spd 1985
.. ... ... ... ... ... ... ...
9 23 4 Regular ... Y Automatic 4-spd 1993
8 23 4 Regular ... Y Manual 5-spd 1993
7 23 4 Regular ... Y Automatic 3-spd 1993
76 23 4 Regular ... Y Manual 5-spd 1993
2 23 4 Regular ... Y Manual 5-spd 1985
[100 rows x 10 columns]sort a dataframe
sort_na_first = gapminder.sort_values('lifeExp',na_position='first')Copyright © 2021 Codeinu
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