Pandas Practice Set-1: Rename all the columns of the diamonds Dataframe

Pandas Practice Set-1: Exercise-8 with Solution

Write a Pandas program to rename all the columns 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())
diamonds_cols = ['new_carat', 'new_cut', 'new_color', 'new_clarity', 'new_depth', 'new_table', 'new_price', 'new_x', 'new_y', 'new_z']
diamonds.columns = diamonds_cols
print("\nAfter renaming all the columns of the said dataframe:")
diamonds.rename(columns={'color':'diamond_color', 'clarity':'dimaond_clarity'}, 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

After renaming all the columns of the said dataframe:
   new_carat  new_cut new_color  ...   new_x  new_y  new_z
0       0.23    Ideal         E  ...    3.95   3.98   2.43
1       0.21  Premium         E  ...    3.89   3.84   2.31
2       0.23     Good         E  ...    4.05   4.07   2.31
3       0.29  Premium         I  ...    4.20   4.23   2.63
4       0.31     Good         J  ...    4.34   4.35   2.75

[5 rows x 10 columns]

Python Code Editor:

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