Exit:

 panel ['b '] is - item1 item2 0 111 100 1 123 100 2 425 100 3 1333 100 Modulo of panel [' b'] with df2 ['b'] using mod () method - item1 item2 0 11 0 1 23 0 2 25 0 3 33 0 

Code # 2:

Output:

 panel ['b'] is - item1 item2 0 11.000 11.000 1 1.025 1.025 2 333.000 333.000 3 114.480 114.480 4 1333.000 1333.000 Newly create dataframe with random values ​​is - item1 item2 0 0.003619 0.293626 1 0.624030 0.360525 2 0.335041 0.450568 3 0.414065 0.120144 4 0.842085 0.222036 Modulo of panel ['b'] with df2 using mod () method - item1 item2 0 0.001529 0.135848 1 0.400970 0.303949 2 0.303965 0.030172 3 0.197954 0.10 
 
  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  ]}) 
 
   
 
  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   (  "Modulo of panel [' b'] ['item1'] with df2 ['b'] or panel [' b'] ['item2'] using mod () method -"  ) 
 
  print   (  ""  , panel [  'b'  ] [ ' item1'  ]. mod (df2 [  'b'  ], axis   =   0  )) 
 
  
 
   Exit :
 
 panel ['b'] is - item1 item2 0 11.000 10 1 1.025 10 2 333.000 10 3 114.480 110 4 1333.000 110 Modulo of panel ['b'] [' item1'] with df2 ['b'] or panel [' b'] ['item2'] using mod () method - 0 1.000 1 1. 025 2 3.000 3 4.480 4 13.000 dtype: float64