Python | Pandas Panel.mul ()



In Pandas Panel.mul() function is used to get multiplication of series and data / frame.

Syntax: Panel.mul (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` , ` two` ], 

`b` : [ 100 , 100 , 100 , 100 ]}) 

 

data = { ` item1` : df1, `item2` : df2}

 
# create a panel

panel = pd.Panel.from_dict (data, orient = `minor`

print ( " panel [`b`] is -" , panel [ `b` ]) 

  

print ( " Multiplying panel [`b`] with df2 [` b`] using mul () method - "

print ( " " , panel [ `b` ]. mul (df2 [ ` b` ], axis = 0 )) 

Output:

Code # 2:

Output:

Code # 3:

# 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 a 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 ( " Multiplying panel [`b`] with df2 using mul () method - "

print (panel [ ` b` ]. mul (df2, axis = 0 )) 

# 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 ]}) 

  

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

`b` : [ 10 , 10 , 10 , 110 , 110 ]}) 

 

data = { ` item1` : df1, `item2` : df2} 

  
# create a panel

panel = pd.Panel.from_dict (data, orient = `minor`

 

print ( "panel [` b`] is - " , panel [ `b` ], ` `

 

print ( "Multiplying panel [` b`] [`item1`] with df2 [` b`] or panel [`b`] [`item2`] using mul () method -"

print ( "" , panel [ `b` ] [ ` item1` ]. mul (df2 [ `b` ], axis = 0 )) 

Output: