w3resource

Pandas Practice Set-1: Find the diamonds that are with a Fair or Good or Premium

Pandas Practice Set-1: Exercise-19 with Solution

Write a Pandas program to find the diamonds that are with a Fair or Good or Premium.

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("\nDiamonds that are with a Fair or Good or Premium:")
result = diamonds[diamonds.cut.isin(['Fair', 'Good', 'Premium'])]
print(result.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

Diamonds that are with a Fair or Good or Premium:
   carat      cut color clarity  depth  table  price     x     y     z
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
8   0.22     Fair     E     VS2   65.1   61.0    337  3.87  3.78  2.49

Python Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to find the diamonds that are either Premium or Ideal.
Next: Write a pandas program to display all column labels of diamonds DataFrame.

What is the difficulty level of this exercise?



Become a Patron!

Follow us on Facebook and Twitter for latest update.

It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.

https://198.211.115.131/python-exercises/pandas/practice-set1/pandas-practice-set1-exercise-19.php