Pandas Pivot Titanic: Calculate number of women and men were in a particular cabin class
11. Pivot Table: Count of Women and Men in a Cabin Class
Write a Pandas program to create a Pivot table and calculate number of 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'], aggfunc='count')
print(result)
Sample Output:
Unnamed: 15 adult_male ... survived who
pclass 1 2 3 1 2 ... 2 3 1 2 3
sex ...
female 0 0 0 94 76 ... 76 144 94 76 144
male 0 0 0 122 108 ... 108 347 122 108 347
[2 rows x 42 columns]
For more Practice: Solve these Related Problems:
- Write a Pandas program to create a pivot table that counts the number of women and men in each cabin class from titanic.csv.
- Write a Pandas program to generate a pivot table that displays the distribution of genders across different cabin classes.
- Write a Pandas program to build a pivot table that aggregates passenger counts by cabin class and gender, highlighting class disparities.
- Write a Pandas program to create a pivot table from titanic.csv that cross-tabulates cabin class with gender counts.
Python Code Editor:
Pivot Titanic.csv:
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Previous: Write a Pandas program to create a Pivot table and find survival rate by gender, age of the different categories of various classes. Add the fare as a dimension of columns and partition fare column into 2 categories based on the values present in fare columns.
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