Python | Pandas Panel.pow ()

In Pandas Panel.pow() function is used to get exponential cardinality of rows and data / frame.

Syntax : Panel.pow (other, axis = 0)

Parameters:
other: DataFrame or Panel
axis: Axis to broadcast over

Returns: Panel

Code # 1:

# pandas module import

import pandas as pd

import numpy as np

df1 = pd.DataFrame ({ `a` : [ `Geeks` , `For` , `geeks` , ` real` ],
`b` : [ 111 , 123 , 425 , 1333 ]} ) df2 = pd.DataFrame ({ ` a` : [ `I` , ` am` , `dataframe` , ` t wo` ], `b ` : [ 2 , 3 , 2 , 2 ]}) data = { ` item1` : df1, `item2` : df2} # create a panel panel = pd.Panel.from_dict (data, orient = ` minor` ) print ( "panel [` b`] is - " , panel [ `b` ]) print ( "Exponential power of panel [` b`] [`item1`] with df2 [` b`] using pow () method - " ) print ( "" , panel [ ` b` ] [ `item1` ]. pow (df2 [ ` b` ], axis = 0 ))

Output:

Code # 2:

# 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`] is -" , panel [ `b` ], ` ` ) # Create 5 * 5 data frame df2 = pd. DataFrame (np.random.rand ( 5 , 2 ), columns = [ `item1` , ` item2` ]) print ( "Newly create dataframe with random values is -" , df2) print ( " Exponential power of panel [`b`] with df2 using pow () method -" ) print (panel [ `b` ]. pow (df2, axis = 0 ))

Output:

Code # 3:

# pandas module import

import pandas as pd

import nu mpy as np

df1 = pd.DataFrame ({ `a` : [ `Geeks` , ` For` , `geeks` , ` for ` , ` real` ],
`b` : [ 2 , 4 , 6 , 6 , 10 ]})

df2 = pd.DataFrame ({ `a` : [ ` I` , `am` , ` DataFrame` , `number` , ` two` ],

`b` : [ 10 , 5 , 3 , 6 , 7 ]})
data = { `item1` : df1, ` item2` : df2} # create a panel panel = pd.Panel.from_dict (data, orient = `minor` ) print ( " panel [`b`] is -" , panel [ ` b` ], `` ) print ( "Exponential power of panel [` b`] [`item1`] with df2 [` b`] or pan el [`b`] [` item2`] using pow () method - " ) print ( "" , panel [ `b` ] [ ` item1` ] . pow (df2 [ `b` ], axis = 0 ))

Output:

Python | Pandas Panel.pow ()

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