Pandas Pivot Titanic: Partition each of the passengers into four categories based on their age
Pandas: Pivot Titanic Exercise-7 with Solution
Write a Pandas program to partition each of the passengers into four categories based on their age. Go to Editor
Note: Age categories (0, 10), (10, 30), (30, 60), (60, 80)
Sample Solution:
Python Code :
import pandas as pd
import numpy as np
df = pd.read_csv('titanic.csv')
result = pd.cut(df['age'], [0, 10, 30, 60, 80])
print(result)
Sample Output:
0 (10, 30] 1 (30, 60] 2 (10, 30] 3 (30, 60] 4 (30, 60] 5 NaN 6 (30, 60] 7 (0, 10] 8 (10, 30] 9 (10, 30] 10 (0, 10] 11 (30, 60] 12 (10, 30] 13 (30, 60] 14 (10, 30] 15 (30, 60] 16 (0, 10] 17 NaN 18 (30, 60] 19 NaN 20 (30, 60] 21 (30, 60] 22 (10, 30] 23 (10, 30] 24 (0, 10] 25 (30, 60] 26 NaN 27 (10, 30] 28 NaN 29 NaN ... 861 (10, 30] 862 (30, 60] 863 NaN 864 (10, 30] 865 (30, 60] 866 (10, 30] 867 (30, 60] 868 NaN 869 (0, 10] 870 (10, 30] 871 (30, 60] 872 (30, 60] 873 (30, 60] 874 (10, 30] 875 (10, 30] 876 (10, 30] 877 (10, 30] 878 NaN 879 (30, 60] 880 (10, 30] 881 (30, 60] 882 (10, 30] 883 (10, 30] 884 (10, 30] 885 (30, 60] 886 (10, 30] 887 (10, 30] 888 NaN 889 (10, 30] 890 (30, 60] Name: age, Length: 891, dtype: category Categories (4, interval[int64]): [(0, 10] < (10, 30] < (30, 60] < (60, 80]]
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 wise of various classes.
Next: Write a Pandas program to create a Pivot table and count survival by gender, categories wise age of various classes.
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Find current directory and file's directory:
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Documentation references for the modules, constants and functions used above:
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- The __file__ constant
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