Pandas Practice Set-1: Create a new 'Quality -color' Series of the diamonds DataFrame
4. Create a New 'Quality -color' Series
Write a Pandas program to create a new 'Quality -color' Series (use bracket notation to define the Series name) 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(diamonds['carat'])
diamonds['Quality–color'] = diamonds.cut + ', ' + diamonds.color
print(diamonds.head())
Sample Output:
carat cut color clarity ... x y z Quality–color 0 0.23 Ideal E SI2 ... 3.95 3.98 2.43 Ideal, E 1 0.21 Premium E SI1 ... 3.89 3.84 2.31 Premium, E 2 0.23 Good E VS1 ... 4.05 4.07 2.31 Good, E 3 0.29 Premium I VS2 ... 4.20 4.23 2.63 Premium, I 4 0.31 Good J SI2 ... 4.34 4.35 2.75 Good, J [5 rows x 11 columns]
For more Practice: Solve these Related Problems:
- Write a Pandas program to create a new Series named 'Quality -color' by combining the 'cut' and 'color' columns with a hyphen separator.
- Write a Pandas program to generate a 'Quality -color' Series that categorizes diamonds based on cut and color, then display its head.
- Write a Pandas program to create a new Series 'Quality -color' by mapping existing 'cut' and 'color' values to new labels.
- Write a Pandas program to construct a 'Quality -color' Series and add it to the diamonds DataFrame, then print the updated DataFrame’s first few rows.
Python Code Editor:
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Next: Write a Pandas program to find the number of rows and columns and data type of each column of diamonds Dataframe.
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