Python | Pandas Panel.count()

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’)

Parameters: axis : {‘items’, ‘major’, ‘minor’} or {0, 1, 2}

Returns: count of DataFrame

Code #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:

# 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: