Python | Pandas Panel.cummax ()

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:

Python | Pandas Panel.cummax ()

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