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

Rishikesh Kumar Rishi

Updated on: 30-Aug-2021

2K+ Views

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