pandas sort dataframe by column

1df.sort_values(by='col1', ascending=False)

1#Python, Pandas
2#Sorting dataframe df on the values of a column col1
3#Temporary
4df.sort_values(by=["col1"]) 
5
6#Permanent
7df.sort_values(by=["col1"], inplace = True)

1>>> df.sort_values(by=['col1'], ascending = False)
2    col1 col2 col3
30   A    2    0
41   A    1    1
52   B    9    9
65   C    4    3
74   D    7    2
83   NaN  8    4
9

1>>> df.sort_values(by=['col1'])
2    col1 col2 col3
30   A    2    0
41   A    1    1
52   B    9    9
65   C    4    3
74   D    7    2
83   NaN  8    4
9

1df = df.reindex(sorted(df.columns), axis=1)
2

1# Basic syntax:
2import pandas as pd
3df.sort_values(by=['col1'])
4
5# Note, this does not sort in place unless you add inplace=True
6# Note, add ascending=False if you want to sort in decreasing order
7# Note, to sort by more than one column, add other column names to the
8#	list like by=['col1', 'col2']