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  2. Python | Pandas Panel.truediv ()

Python | Pandas Panel.truediv ()

NumPy | Python Methods and Functions

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 ​​is -" , 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 ​​is - 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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