Pandas Practice Set-1: Set an existing column as the index of diamonds DataFrame and restore the index name, and move the index back to a column
44. Set Column as Index and Restore the Index Name
Write a Pandas program to set an existing column as the index of diamonds DataFrame and restore the index name, and move the index back to a column.
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("\nNew Dataframe:")
diamonds.set_index('color', inplace=True)
print(diamonds.head())
print("\nNow restore the index name:")
diamonds.index.name = 'color'
diamonds.reset_index(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
New Dataframe:
carat cut clarity depth table price x y z
color
E 0.23 Ideal SI2 61.5 55.0 326 3.95 3.98 2.43
E 0.21 Premium SI1 59.8 61.0 326 3.89 3.84 2.31
E 0.23 Good VS1 56.9 65.0 327 4.05 4.07 2.31
I 0.29 Premium VS2 62.4 58.0 334 4.20 4.23 2.63
J 0.31 Good SI2 63.3 58.0 335 4.34 4.35 2.75
Now restore the index name:
color carat cut clarity depth table price x y z
0 E 0.23 Ideal SI2 61.5 55.0 326 3.95 3.98 2.43
1 E 0.21 Premium SI1 59.8 61.0 326 3.89 3.84 2.31
2 E 0.23 Good VS1 56.9 65.0 327 4.05 4.07 2.31
3 I 0.29 Premium VS2 62.4 58.0 334 4.20 4.23 2.63
4 J 0.31 Good SI2 63.3 58.0 335 4.34 4.35 2.75
For more Practice: Solve these Related Problems:
- Write a Pandas program to set a column as the index of the diamonds DataFrame, then restore the original index name after resetting.
- Write a Pandas program to assign a column as index, rename the index, and later convert the index back into a column.
- Write a Pandas program to set an existing column as index, then reset the index and ensure the index name is retained as a new column.
- Write a Pandas program to switch a column to the index, perform a sort, and then move the index back into the columns with its name restored.
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