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Pandas Practice Set-1: Remove multiple columns at once of the diamonds Dataframe


10. Remove Multiple Columns at Once

Write a Pandas program to remove multiple columns at once of the diamonds Dataframe.

Sample Solution :

Python Code :

import pandas as pd
diamonds = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/diamonds.csv')
print("Original Dataframe:")
print(diamonds.head())
print("\nRemove multiple columns:")
diamonds.drop(['carat', 'color', 'y'], axis=1, inplace=True)
print(diamonds.head())

Sample Output:

Original Dataframe:
   carat      cut color clarity  depth  table  price     x     y     z
0   0.23    Ideal     E     SI2   61.5   55.0    326  3.95  3.98  2.43
1   0.21  Premium     E     SI1   59.8   61.0    326  3.89  3.84  2.31
2   0.23     Good     E     VS1   56.9   65.0    327  4.05  4.07  2.31
3   0.29  Premium     I     VS2   62.4   58.0    334  4.20  4.23  2.63
4   0.31     Good     J     SI2   63.3   58.0    335  4.34  4.35  2.75

Remove multiple columns:
       cut clarity  depth  table  price     x     z
0    Ideal     SI2   61.5   55.0    326  3.95  2.43
1  Premium     SI1   59.8   61.0    326  3.89  2.31
2     Good     VS1   56.9   65.0    327  4.05  2.31
3  Premium     VS2   62.4   58.0    334  4.20  2.63
4     Good     SI2   63.3   58.0    335  4.34  2.75

For more Practice: Solve these Related Problems:

  • Write a Pandas program to drop a list of specified columns from the diamonds DataFrame in a single operation.
  • Write a Pandas program to remove multiple columns using the axis parameter and verify by checking the DataFrame shape.
  • Write a Pandas program to drop non-numeric columns from the diamonds DataFrame and display the resulting DataFrame.
  • Write a Pandas program to remove several columns using drop() with inplace=True and then print the updated column names.

Go to:


Previous: Write a Pandas program to remove the second column of the diamonds Dataframe.
Next: Write a Pandas program to remove multiple rows at once (axis=0 refers to rows) from diamonds dataframe.

Python Code Editor:

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