Python | Pandas Panel.truediv ()

Michael Zippo 18.07.2021

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In Pandas Panel.truediv() function is used to get floating division of series and dataframe / Panel.

Syntax : Panel.truediv (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’ : [ ’Gee ks’ , ’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 truediv () method -" )

print ( "" , panel [ ’b’ ]. truediv (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’] using t ruediv () method - item1 item2 0 1.11 1 1 1.23 1 2 4.25 1 3 13.33 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 5 * 5 data frame

df2 = pd. DataFrame (np.random.rand ( 5 , 2 ), columns = [ ’item1’ , ’ item2’ ])

print ( "Newly create dataframe with random values ‚Äã‚Äãis -" , df2)

print ( " Floating Dividing panel [’b’] with df2 using truediv () method -" )

print (panel [ ’b’ ]. truediv (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 ‚Äã‚Äãis - item1 item2 0 0.154734 0.270466 1 0.793149 0.594710 2 0.203894 0.133580 3 0.986028 0.826181 4 0.814395 0.072388 Floating Dividing panel [’b’] method - item1 item2 0 71.089512 40.670489 1 1.292318 1.723528 2 1633.203306 2492.883184 3 116.102223 138.565208 4 1636.798165 18414.531628

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   (  "Floating Dividing panel [’ b’] [’item1’] with df2 [’b’] or panel [’ b’] [’item2’] using truediv () method -"  ) 
   print   (  ""  , panel [  ’b’  ] [ ’ item1’  ]. truediv (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 Floating Dividing panel [’b’] [’ item1’] with df2 [’b’] or panel [’ b’] [’item2’] using truediv () method - 0 1.100000 1 0.102500 2 33.300000 3 1.040727 4 12.118182 dtype: float64

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Cornwall Ungerschaft

Texas | 2023-02-01

I was preparing for my coding interview, thanks for clarifying this - Python | Pandas Panel.truediv () in Python is not the simplest one. I am just not quite sure it is the best method

Olivia Emmerson

London | 2023-02-01

imp Python module is always a bit confusing 😭 Python | Pandas Panel.truediv () is not the only problem I encountered. Checked yesterday, it works!

Carlo Williams

London | 2023-02-01

imp Python module is always a bit confusing 😭 Python | Pandas Panel.truediv () is not the only problem I encountered. Will get back tomorrow with feedback