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  2. Python | Pandas Panel.rtruediv ()

Python | Pandas Panel.rtruediv ()



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