Pandas Pivot Titanic: Find the probability of survival by class, gender, solo boarding and port of embarkation
Pandas: Pivot Titanic Exercise-19 with Solution
Write a Pandas program to create a Pivot table and find the probability of survival by class, gender, solo boarding and port of embarkation. 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', ['sex' , 'alone' ], [ 'embark_town', 'class' ])
print(result)
Sample Output:
embark_town Cherbourg ... Southampton class First Second ... Second Third sex alone ... female False 1.000000 1.000000 ... 0.923077 0.327586 True 0.944444 1.000000 ... 0.892857 0.466667 male False 0.473684 0.166667 ... 0.300000 0.142857 True 0.347826 0.250000 ... 0.089552 0.123762 [4 rows x 9 columns]
Python Code Editor:
Pivot Titanic.csv:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
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-19.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics