Pandas Practice Set-1: Compute a cross-tabulation of two Series in diamonds DataFrame
35. Compute Cross-Tabulation of Two Series
Write a Pandas program to compute a cross-tabulation of two Series in 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("\nCross-tabulation of two Series of diamonds DataFrame:")
print(pd.crosstab(diamonds.cut, diamonds.price))
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 Cross-tabulation of two Series of diamonds DataFrame: price 326 327 334 335 ... 18804 18806 18818 18823 cut ... Fair 0 0 0 0 ... 0 0 0 0 Good 0 1 0 1 ... 0 0 0 0 Ideal 1 0 0 0 ... 1 1 0 0 Premium 1 0 1 0 ... 0 0 0 1 Very Good 0 0 0 0 ... 0 0 1 0 [5 rows x 11602 columns]
For more Practice: Solve these Related Problems:
- Write a Pandas program to compute a cross-tabulation between 'cut' and 'color' in the diamonds DataFrame.
- Write a Pandas program to generate a crosstab of 'cut' vs. 'clarity' and display the frequency table.
- Write a Pandas program to compute a cross-tabulation between two categorical columns and then normalize the results.
- Write a Pandas program to create a pivot table (cross-tab) of 'cut' and 'color' with custom aggregation functions.
Go to:
Previous: Write a Pandas program to count the number of unique values in cut series of diamonds DataFrame.
Next: Write a Pandas program to calculate various summary statistics of cut series of diamonds DataFrame.
Python Code Editor:
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