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  2. Python | Pandas Panel.shape

Python | Pandas Panel.shape

NumPy | Python Methods and Functions

In Pandas, Panel.shape can be used to get a tuple of axis dimensions.

Syntax: Panel .shape

Parameters: None

Returns: Return a tuple of axis dimensions

Code # 1:

# 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 < / code> = pd.Panel.from_dict (data, orient = `minor` ) 

  

print ( "panel [` b`] is - " , panel [ `b` ], `` ) 

 

print ( "Size of panel [` b`] is - " , panel [ `b` ]. shape) 

Output:

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 ]}) 

 
# Create a 5 * 5 data frame

df2 = pd.DataFrame (np.random.rand ( 10 , 2 ), columns = [ `a` , `b` ]) 

  

data = { `item1` : df1,  `item2` : df2} 

  
# create a panel

panel = pd.Panel.from_dict (data, orient = ` minor` ) 

print ( "panel [ `b`] is -" , panel [ `b` ] , `` ) 

 

 

print ( "Shape of Panel is -" , panel [ `b` ]. shape) 

Output:

Code # 3:

# pandas module import

import pandas as pd 

import numpy as np 

 

df1 = pd.DataFrame ({ `a` : [ `Geeks` , ` For` , `geeks` , ` real` ], 

`b ` : [ - 11 , + 1.025 , - 114.48 , 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 ( "Shape of panel [` b`] is - " , panel [ ` b` ]. shape) 

Output:





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