Python | Pandas Panel.rtruediv ()

Michael Zippo 18.07.2021

Pandas Panel.rtruediv() uses a function to get the floating division of the series and the dataframe / Panel.

Syntax : Panel.rtruediv (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’ : [ ’G eeks’ , ’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 ( "Floating Dividing panel [’ b’] with df2 [’b’] using rtruediv () method -" )

print ( "" , panel [ ’ b’ ]. rtruediv (df2 [ ’b’ ], axis = 0 ))

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:

# 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’ ) < / p>

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) < / p>

print ( "Floating Dividing panel [’ b’] with df2 using rtruediv () method - " )

print (panel [ ’b’ ]. rtruediv (df2, axis = 0 ))

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