Pandas Practice Set-1: Read the diamonds DataFrame and detect duplicate color
64. Read Diamonds DataFrame and Detect Duplicate 'color'
Write a Pandas program to read the diamonds DataFrame and detect duplicate color.
Note: duplicated () function returns boolean Series denoting duplicate rows, optionally only considering certain columns.
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.shape)
print("\nCount the duplicate items:")
print(diamonds.clarity.duplicated().sum())
Sample Output:
Original Dataframe: (53940, 10) Count the duplicate items: 53932
For more Practice: Solve these Related Problems:
- Write a Pandas program to identify duplicate entries in the 'color' column of the diamonds DataFrame and display a boolean mask.
- Write a Pandas program to flag rows in the diamonds DataFrame where the 'color' value has already appeared.
- Write a Pandas program to detect and print the indices of duplicate 'color' values in the diamonds DataFrame.
- Write a Pandas program to create a new column indicating whether the 'color' value is a duplicate in the diamonds dataset.
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
Previous: Write a Pandas program to get sample 75% of the diamonds DataFrame's rows without replacement and store the remaining 25% of the rows in another DataFrame.
Next: Write a Pandas program to count the duplicate rows of diamonds DataFrame.
What is the difficulty level of this exercise?