Python | Pandas Panel.mod()

Python | Pandas Panel.count()

Last Updated : 01 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. Panel.count() function is used to return number of observations over requested axis.

Syntax: Panel.count(axis='major')[source][/source] Parameters: axis : {‘items’, ‘major’, ‘minor’} or {0, 1, 2} Returns: count of DataFrame

Code #1:

Python3 1==

# 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]})
                    
data = {'item1':df1, 'item2':df1}

# creating Panel 
panel = pd.Panel.from_dict(data, orient ='minor')
print(panel, "\n")
print(panel['b'])

print("\n", panel['b'].count())

Output:

Code #2:

Python3 1==

# importing pandas module 
import pandas as pd 
import numpy as np

df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks'], 
                    'b': np.random.randn(3)})
                    
data = {'item1':df1, 'item2':df1}

# creating Panel 
panel = pd.Panel.from_dict(data, orient ='minor')
print(panel, "\n")
print(panel['b'])


df2 = pd.DataFrame({'b': [11, 12, 13]})
print("\n", panel['b'].count())

Output:

Python | Pandas Panel.mod()

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