Pandas Practice Set-1: Create a histogram of the 'carat' Series of diamonds DataFrame
37. Create a Histogram of the 'carat' Series
Write a Pandas program to create a histogram of the 'carat' Series (distribution of a numerical variable) 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("\nHistogram of the 'carat' Series (distribution of a numerical variable) of diamonds DataFrame.")
diamonds.carat.plot(kind='hist')
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 Histogram of the 'carat' Series (distribution of a numerical variable) of diamonds DataFrame.
For more Practice: Solve these Related Problems:
- Write a Pandas program to plot a histogram of the 'carat' column with custom bin sizes and labels.
- Write a Pandas program to create a histogram for 'carat' and overlay a density curve for better visualization.
- Write a Pandas program to display a histogram of 'carat' values and then annotate the highest frequency bin.
- Write a Pandas program to plot a normalized histogram of the 'carat' series and compare it with a kernel density estimate.
Python Code Editor:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
Previous: Write a Pandas program to calculate various summary statistics of cut series of diamonds DataFrame.
Next: Write a Pandas program to create a bar plot of the 'value_counts' for the ‘cut’ series of diamonds DataFrame.
What is the difficulty level of this exercise?