Pandas: Split the specified dataframe into groups based on all columns and calculate Groupby value counts on the dataframe
Pandas Grouping and Aggregating: Split-Apply-Combine Exercise-14 with Solution
Write a Pandas program to split the following dataframe into groups based on all columns and calculate GroupBy value counts on the dataframe.
Test Data:
id type book 0 1 10 Math 1 2 15 English 2 1 11 Physics 3 1 20 Math 4 2 21 English 5 1 12 Physics 6 2 14 English
Sample Solution:
Python Code :
import pandas as pd
df = pd.DataFrame( {'id' : [1, 2, 1, 1, 2, 1, 2],
'type' : [10, 15, 11, 20, 21, 12, 14],
'book' : ['Math','English','Physics','Math','English','Physics','English']})
print("Original DataFrame:")
print(df)
result = df.groupby(['id', 'type', 'book']).size().unstack(fill_value=0)
print("\nResult:")
print(result)
Sample Output:
Original DataFrame: id type book 0 1 10 Math 1 2 15 English 2 1 11 Physics 3 1 20 Math 4 2 21 English 5 1 12 Physics 6 2 14 English Result: book English Math Physics id type 1 10 0 1 0 11 0 0 1 12 0 0 1 20 0 1 0 2 14 1 0 0 15 1 0 0 21 1 0 0
Python Code Editor:
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Previous: Write a Pandas program to split the following dataframe into groups based on first column and set other column values into a list of values.
Next: Write a Pandas program to split the following dataframe into groups and count unique values of ‘value’ column.
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Find current directory and file's directory:
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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
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