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  2. Python | Pandas Panel.mod ()

Python | Pandas Panel.mod ()

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