Python | Pandas Panel.shape

Last Updated : 28 Jan, 2019

In Pandas, Panel is a very important container for three-dimensional data. The names for the 3 axes are intended to give some semantic meaning to describing operations involving panel data and, in particular, econometric analysis of panel data.

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:

# importing 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}  
    
# creating Panel   
panel = pd.Panel.from_dict(data, orient ='minor')  
    
print("panel['b'] is - \n\n", panel['b'], '\n')  
    
print("\nSize of panel['b'] is - ", panel['b'].shape)    

Output:

Code #2:

# importing 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]})  
  
# Create a 5 * 5 dataframe  
df2 = pd.DataFrame(np.random.rand(10, 2), columns =['a', 'b'])  
    
data = {'item1':df1, 'item2':df2}  
    
# creating Panel   
panel = pd.Panel.from_dict(data, orient ='minor')  
print("panel['b'] is - \n\n", panel['b'], '\n')  
  
  
print("\nShape of Panel is - ", panel['b'].shape)  

Output:

Code #3:

# importing pandas module  
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} 
  
# creating Panel  
panel = pd.Panel.from_dict(data, orient ='minor')  
print("panel['b'] is - \n\n", panel['b'])  
  
print("\nShape of panel['b'] is - ",  panel['b'].shape)  

Output:

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes

Related Articles