Pandas Pivot Titanic: Compute survival totals of all classes along each group
Pandas: Pivot Titanic Exercise-13 with Solution
Write a Pandas program to create a Pivot table and compute survival totals of all classes along each group. 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('survived', index='sex', columns='class', margins=True)
print(result)
Sample Output:
class First Second Third All sex female 0.968085 0.921053 0.500000 0.742038 male 0.368852 0.157407 0.135447 0.188908 All 0.629630 0.472826 0.242363 0.383838
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 find survival of both gender and class affected.
Next: Write a Pandas program to create a Pivot table and calculate how many women and men were in a particular cabin 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://198.211.115.131/python-exercises/pandas/excel/pandas-pivot-titanic-exercise-13.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics