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Pandas Pivot Titanic: Calculate number of women and men were in a particular cabin class

Pandas: Pivot Titanic Exercise-11 with Solution

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]            

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.
Next: Write a Pandas program to create a Pivot table and find survival of both gender and class affected.

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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