Pandas Practice Set-1: Create a bar plot of the 'value_counts' for the 'cut' series of diamonds DataFrame

Last update on May 03 2025 13:02:22 (UTC/GMT +8 hours)

38. Create a Bar Plot of 'value_counts' for 'cut' Series

Write a Pandas program to create a bar plot of the 'value_counts' for the 'cut' series of 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())
print("\nBar plot of the 'value_counts' for the ‘cut’ series of diamonds DataFrame:")
diamonds.cut.value_counts().plot(kind='bar')

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

Bar plot of the 'value_counts' for the ‘cut’ series of diamonds DataFrame:

For more Practice: Solve these Related Problems:

Write a Pandas program to plot a bar chart showing the value counts of the 'cut' column using Matplotlib.
Write a Pandas program to generate a horizontal bar plot from the value_counts() of 'cut' and customize the colors.
Write a Pandas program to display the value counts of 'cut' as a bar plot with data labels for each bar.
Write a Pandas program to create a grouped bar plot of value_counts for 'cut' and another categorical variable side by side.

Go to:

Previous: as program to create a histogram of the 'carat' Series (distribution of a numerical variable) of diamonds DataFrame.
Next: Write a Pandas program to create a DataFrame of booleans (True if missing, False if not missing) from diamonds DataFrame.

Python Code Editor:

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