Python | Pandas Panel.shape

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:

Python3

# 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:

Python3

# 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:

Python3

# 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:

Note: The panel has been removed from Pandas module 0.25.0 onwards.

Python3

#To check the version of pandas library
import pandas
print(pandas.__version__)