Panel.cummax() is used to return a DataFrame or Series of the same size containing the cumulative maximum.
Syntax : Panel.cummax (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: Cummax 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}
# panel creation panel = pd.Panel .from_dict (data, orient = ’minor’ ) print (panel, "" ) print (panel [ ’b’ ]) print ( "" , panel [ ’b’ ]. cummax (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, "" ) print (panel [ ’b’ ]) df2 = pd.DataFrame ({ ’b’ : [ 11 , 12 , 13 ]}) print ( "" , panel [ ’b’ ]. cummax (axis = 0 )) |
Output:
