Panel.cumprod() is used to return a DataFrame or Series of the same size that contains the accumulated 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:
| # pandas module import 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}
# create a panel panel = pd. Panel.from_dict (data, orient = ’minor’ ) print (panel [ ’b’ ]) print ( "" , panel [ ’b’ ]. cumprod (axis = 0 )) |
Output:
Code # 2:
| # pandas module import 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}
# create a panel panel = pd.Panel.from_dict (data, orient = ’minor’ ) print (panel [ ’b’ ]) print ( "" , panel [ ’ b’ ]. cumprod (axis = 0 )) |
Output:
