Pandas Pivot Titanic: Calculate how many women and men were in a particular cabin class
Pandas: Pivot Titanic Exercise-14 with Solution
Write a Pandas program to create a Pivot table and calculate how many women and men were in a particular cabin class. Go to Editor
Sample Solution:
Python Code :
import pandas as pd
import numpy as np
df = pd.read_csv('titanic.csv')
result = df.pivot_table(index=['sex'], columns=['pclass'], values='survived', aggfunc='count')
print(result)
Sample Output:
pclass 1 2 3 sex female 94 76 144 male 122 108 347
Python Code Editor:
Pivot Titanic.csv:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
Previous: Write a Pandas program to create a Pivot table and compute survival totals of all classes along each group.
Next: Write a Pandas program to create a Pivot table and find number of survivors and average rate grouped by gender and class.
What is the difficulty level of this exercise?
Test your Programming skills with w3resource's quiz.
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://w3resource.com/python-exercises/pandas/excel/pandas-pivot-titanic-exercise-14.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics