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
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']