sort dataframe by column
df.sort_values(by='col1', ascending=False)sort dataframe by column
df.sort_values(by='col1', ascending=False)dataframe, sort by columns
final_df = df.sort_values(by=['2'], ascending=False)dataframe sort by column
sorted = df.sort_values('column-to-sort-on', ascending=False)
#or
df.sort_values('name', inplace=True)sort dataframe by column
df.sort_values(by='col1', ascending=False, na_position='first', inplace=True)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]Copyright © 2021 Codeinu
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