Select multiple columns in a Pandas DataFrame

To select multiple columns in a Pandas DataFrame, we can create new a DataFrame from the existing DataFrame

Steps

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

• Print the input DataFrame.

• Create a new DataFrame, df1, with selection of multiple columns.

• Print the new DataFrame with multiple selected columns.

Example

 Live Demo

import pandas as pd df = pd.DataFrame(    {       "x": [5, 2, 1, 9],       "y": [4, 1, 5, 10],       "z": [4, 1, 5, 0]    } ) print "Input DataFrame is:
", df df1 = df[['x', 'y']] print "After selecting multiple columns:
", df1

Output

Input DataFrame is:    x  y  z 0  5  4  4 1  2  1  1 2  1  5  5 3  9 10  0 After selecting multiple columns:    x  y 0  5  4 1  2  1 2  1  5 3  9 10