Python | Pandas dataframe.cumprod()

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandas dataframe.cumprod() is used to find the cumulative product of the values seen so far over any axis.
Each cell is populated with the cumulative product of the values seen so far.

Syntax: DataFrame.cumprod(axis=None, skipna=True, *args, **kwargs)

Parameters:
axis : {index (0), columns (1)}
skipna : Exclude NA/null values. If an entire row/column is NA, the result will be NA

Returns: cumprod : Series

Example #1: Use cumprod() function to find the cumulative product of the values seen so far along the index axis.

# importing pandas as pd
import pandas as pd

# Creating the dataframe
df = pd.DataFrame({"A":[5, 3, 6, 4],
                   "B":[11, 2, 4, 3],
                   "C":[4, 3, 8, 5],
                   "D":[5, 4, 2, 8]})

# Print the dataframe
df

Output :

Now find the cumulative product of the values seen so far over the index axis

# To find the cumulative prod
df.cumprod(axis = 0)

Output :

Example #2: Use cumprod() function to find the cumulative product of the values seen so far along the column axis.

# importing pandas as pd
import pandas as pd

# Creating the dataframe
df = pd.DataFrame({"A":[5, 3, 6, 4],
                   "B":[11, 2, 4, 3],
                   "C":[4, 3, 8, 5],
                   "D":[5, 4, 2, 8]})

# cumulative product along column axis
df.cumprod(axis = 1)

Output :

Example #3: Use cumprod() function to find the cumulative product of the values seen so far along the index axis in a data frame with NaN value present in dataframe.

# importing pandas as pd
import pandas as pd

# Creating the dataframe
df = pd.DataFrame({"A":[5, 3, None, 4],
                   "B":[None, 2, 4, 3],
                   "C":[4, 3, 8, 5],
                   "D":[5, 4, 2, None]})

# To find the cumulative product
df.cumprod(axis = 0, skipna = True)

Output :

The output is a dataframe with cells containing the cumulative product of the values seen so far along the index axis. Any Nan value in the dataframe is skipped.