Pandas Practice Set-1: Create a side-by-side bar plot of the diamonds DataFrame

Last update on April 11 2025 12:54:58 (UTC/GMT +8 hours)

30. Create Side-by-Side Bar Plot

Write a Pandas program to create a side-by-side bar plot 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("Original Dataframe:")
print(diamonds.head())
print("\nSide-by-side bar plot of the diamonds DataFrame:")
diamonds.groupby('cut').mean().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

Side-by-side bar plot of the diamonds DataFrame:

For more Practice: Solve these Related Problems:

Write a Pandas program to create a side-by-side bar plot comparing the average price and carat for each diamond cut.
Write a Pandas program to generate a grouped bar chart for different cuts showing both count and average price.
Write a Pandas program to plot a side-by-side bar plot for diamonds grouped by cut and color.
Write a Pandas program to create a bar plot that displays multiple aggregations (e.g., mean, median) side by side for each diamond cut.

Python Code Editor:

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