Output:

 panel [`b`] is - item1 item2 0 111 100 1 123 100 2 425 100 3 1333 100 Floating Dividing panel [` b`] with df2 [`b`] usi ng rtruediv () method - item1 item2 0 0.900901 1 1 0.813008 1 2 0.235294 1 3 0.075019 1 

Code # 2:

Exit:

 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 0.809990 0.358019 1 0.765535 0.101660 2 0.788052 0.742361 3 0.964031 0.618767 4 0.862207 [`b`] with df2 using rtruediv () method - item1 item2 0 0.073635 0.032547 1 0.746864 0.099180 2 0.002367 0.002229 3 0.008421 0.005405 4 0.000647 0.000099  
 
  Code # 3:  
 
 
 
  
 
 
 
 
  # pandas module import  
 
  import   pandas as pd 
 
  import   numpy as np 
 
  
 
  df1   =   pd.DataFrame ({  `a`  : [  `Geeks`  ,   `For`  ,  ` geeks`  ,   `for`  ,  ` real`  ] , 
 
   `b`  : [  < code class = "value"> 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   (  "Floating Dividing panel [` b`] [`item1`] with df2 [`b`] or panel [` b`] [`item2`] using rtruediv () method -"  ) 
 
  print   (  ""  , panel [  `b`  ] [ ` item1`  ]. rtruediv (df2 [  `b`  ], axis   =   0  )) 
 
  
 
   Exit :
 
 panel [`b`] is - item1 item2 0 11.000 10 1 1.025 10 2 333.000 10 3 one 14.480 110 4 1333.000 110 Floating Dividing panel [`b`] [` item1`] with df2 [`b`] or panel [` b`] [`item2`] using rtruediv () method - 0 0.909091 1 9.756098 2 0.030030 3 0.960867 4 0.082521 dtype: float64