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Pandas Pivot Titanic: Find survival rate by gender, age of the different categories of various classes and fare

Pandas: Pivot Titanic Exercise-10 with Solution

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. Go to Editor

Sample Solution:

Python Code :

import pandas as pd
import numpy as np
df = pd.read_csv('titanic.csv')
fare = pd.qcut(df['fare'], 2)
age = pd.cut(df['age'], [0, 10, 30, 60, 80])
result = df.pivot_table('survived', index=['sex', age], columns=[fare, 'pclass'])
print(result)

Sample Output:

fare            (-0.001, 14.454]              ...    (14.454, 512.329]          
pclass                         1         2    ...                    2         3
sex    age                                    ...                               
female (0, 10]               NaN       NaN    ...             1.000000  0.411765
       (10, 30]              NaN  0.933333    ...             0.904762  0.307692
       (30, 60]              NaN  0.846154    ...             0.941176  0.333333
       (60, 80]              NaN       NaN    ...                  NaN       NaN
male   (0, 10]               NaN       NaN    ...             1.000000  0.263158
       (10, 30]              NaN  0.034483    ...             0.000000  0.130435
       (30, 60]              0.0  0.130435    ...             0.047619  0.166667
       (60, 80]              NaN  0.333333    ...                  NaN       NaN

[8 rows x 6 columns]

Python Code Editor:


Pivot Titanic.csv:


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Python: Tips of the Day

Find current directory and file's directory:

To get the full path to the directory a Python file is contained in, write this in that file:

import os 
dir_path = os.path.dirname(os.path.realpath(__file__))

(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)

To get the current working directory use

import os
cwd = os.getcwd()

Documentation references for the modules, constants and functions used above:

  • The os and os.path modules.
  • The __file__ constant
  • os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
  • os.path.dirname(path) (returns "the directory name of pathname path")
  • os.getcwd() (returns "a string representing the current working directory")
  • os.chdir(path) ("change the current working directory to path")

Ref: https://bit.ly/3fy0R6m