Pandas cumprod - Python Pandas Series cumprod() Function

Pandas Series cumprod() Function:

Pandas cumprod: The cumprod() function of the Pandas Series computes the cumulative product over a DataFrame or Series axis and gives a DataFrame or Series of the same size including the cumulative product.

Syntax:

Series.cumprod(axis=None, skipna=True)

Parameters

axis: This is optional. It indicates 0 or “index”, 1 or “columns.” Cumulative products are generated for each column if the value is 0 or ‘index’. Cumulative products are generated for each row if 1 or ‘columns’ is specified. 0 is the default.

skipna: This is optional. When determining the result, specify True to exclude NA/null values. True is the default value.

Return Value:

The cumulative product of a scalar or a Series is returned by the cumprod() function.

Python Pandas Series cumprod() Function

Example1

Pandas cumprod: Here, the cumprod() function returns the cumulative product of values in a given series.

Approach:

Import pandas module using the import keyword.
Pass some random list as an argument to the Series() function of the pandas module to create a series.
Store it in a variable.
Print the above-given series.
Apply cumprod() function on the given series to get the cumulative product values of all the elements of the given series and print the result.
The Exit of the Program.

Below is the implementation:

# Import pandas module using the import keyword.
import pandas as pd
# Pass some random list as an argument to the Series() function
# of the pandas module to create a series.
# Store it in a variable.
gvn_series = pd.Series([3, 3, 10, 5, 4, 2, 3, 6])
# Print the above given series
print("The given series is:")
print(gvn_series)
print()
# Apply cumprod() function on the given series to get the 
# cumulative product values of all the elements of the given series
# and print the result.
print("The cumulative product values of all the elements of the given series:")
print(gvn_series.cumprod())

Output:

The given series is:
0     3
1     3
2    10
3     5
4     4
5     2
6     3
7     6
dtype: int64

The cumulative product values of all the elements of the given series:
0        3
1        9
2       90
3      450
4     1800
5     3600
6    10800
7    64800
dtype: int64

Example2

Here, the cumprod() function is used on a specified series/columns of a DataFrame.

Approach:

Import pandas module using the import keyword.
Pass some random key-value pair(dictionary), index list as arguments to the DataFrame() function of the pandas module to create a dataframe.
Store it in a variable.
Print the given dataframe
Get the cumulative product values of the student_marks column of the dataframe using the cumprod() function and print the result.
The Exit of the Program.

Below is the implementation:

# Import pandas module using the import keyword.
import pandas as pd
# Pass some random key-value pair(dictionary), index list as arguments to the 
# DataFrame() function of the pandas module to create a dataframe
# Store it in a variable.
data_frme = pd.DataFrame({
  "student_rollno": [1, 2, 3, 4],
  "student_marks": [80, 35, 25, 90]},
  index= ["virat", "nick" , "jessy", "sindhu"]
)
# Print the given dataframe
print("The given Dataframe:")
print(data_frme)
print()

# Get the cumulative product values of the student_marks column of the 
# dataframe using the cumprod() function and print the result
print("The cumulative product values of the student_marks column of the dataframe:")
print(data_frme['student_marks'].cumprod())

Output:

The given Dataframe:
        student_rollno  student_marks
virat                1             80
nick                 2             35
jessy                3             25
sindhu               4             90

The cumulative product values of the student_marks column of the dataframe:
virat          80
nick         2800
jessy       70000
sindhu    6300000
Name: student_marks, dtype: int64

Pandas cumprod – Python Pandas Series cumprod() Function

Python Pandas Series cumprod() Function

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