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