Python | Pandas Panel.rdiv ()



Pandas Panel.rdiv() uses a function to get division by row and dataframe / Panel.

Syntax: Panel.rdiv (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 ( "Dividing panel [` b`] with df2 [`b`] using rdiv () method -"

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

Exit:

 panel [` b`] is - item1 item2 0 111 100 1 123 100 2 425 100 3 1333 100 Dividing panel [`b`] with df2 [` b`] using rdiv () 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`

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 ( "Dividing panel [` b`] with df2 using rdiv () method - "

print (panel [ ` b` ]. rdiv (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 0.364764 0.680203 1 0.804920 0.858278 2 0.519905 0.701869 3 0.429503 0.033674 4 0.151454 0.658271 Dividing panel [`b`] with df2 using rdiv () method - item1 0.0618 0.03316034 2 0.001561 0.002108 3 0.003752 0.000294 4 0.000114 0.000494 

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 ( "Dividing panel [` b`] [`item1`] with df2 [` b`] or panel [`b`] [` item2`] using rdiv () method - "

print ( " " , panel [ `b` ] [ `item1` ]. rdiv (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 Dividing panel [`b`] [` item1`] with df2 [`b`] or panel [` b`] [`item2`] u sing rdiv () method - 0 0.909091 1 9.756098 2 0.030030 3 0.960867 4 0.082521 dtype: float64