Python | Pandas Panel.cumprod()

In Pandas, Panel is a very important container for three-dimensional data. The names for the 3 axes are intended to give some semantic meaning to describing operations involving panel data and, in particular, econometric analysis of panel data.

Panel.cumprod() function is used to returns a DataFrame or Series of the same size containing the cumulative product.

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

Parameters:
axis : The index or the name of the axis. 0 is equivalent to None or ‘index’.
skipna : Exclude NA/null values. If an entire row/column is NA, the result will be NA.

Returns: Cumprod of DataFrame or Panel

Code #1:

# importing pandas module
import pandas as pd
import numpy as np

df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks', 'for', 'real'],
                    'b': [11, 1.025, 333, 114.48, 1333]})

data = {'item1':df1, 'item2':df1}

# creating Panel
panel = pd.Panel.from_dict(data, orient ='minor')

print(panel['b'])

print("\n", panel['b'].cumprod(axis = 0))

Output:

Code #2:

# importing pandas module
import pandas as pd
import numpy as np

df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks'],
                    'b': np.random.randn(3)})

data = {'item1':df1, 'item2':df1}

# creating Panel
panel = pd.Panel.from_dict(data, orient ='minor')

print(panel['b'])


print("\n", panel['b'].cumprod(axis = 0))

Output: