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:
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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 = pd.Panel .from_dict (data, orient = `minor` )
print (panel, "" )
print (panel [ `b` ])
print ( "" , panel [ `b` ]. cummax (axis = 0 ))
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Output:
Code # 2 :
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# 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}
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 ))
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Output:
