Python | Pandas Panel.mod ()

NumPy | Python Methods and Functions

Pandas Panel.mod() uses a function to get the series module and dataframe / Panel.

Syntax: Panel.mod (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 ( " Modulo of panel ['b'] with df2 [' b'] using mod () method - "

print ( " " , panel [ 'b' ]. mod (df2 [ ' b' ], axis = 0 )) 

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:

# import pandas module

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} 

 
# panel creation

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)

 

pr int ( "Modulo of panel [' b'] with df2 using mod () method - "

print (panel [ 'b' ]. mod (df2, axis = 0 )) 

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 





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