How to sort multiple columns of a Pandas DataFrame?

To sort multiple columns of a Pandas DataFrame, we can use the sort_values() method.

Steps

• Create a two-dimensional, size-mutable, potentially heterogeneous tabular data, df.

• Print the input DataFrame, df.

• Initialize a variable col to sort the column.

• Print the sorted DataFrame.

Example

 Live Demo

import pandas as pd df = pd.DataFrame(    {       "x": [5, 2, 7, 0],       "y": [4, 7, 5, 1],       "z": [9, 3, 5, 1]    } ) print "Input DataFrame is:
", df col = ["x", "y"] df = df.sort_values(col, ascending=[False, True]) print "After sorting column ", col, "DataFrame is:
", df

Output

Input DataFrame is:    x  y  z 0  5  4  9 1  2  7  3 2  7  5  5 3  0  1  1 After sorting column ['x', 'y'] DataFrame is:    x  y  z 2  7  5  5 0  5  4  9 1  2  7  3 3  0  1  1