Panel.count() is used to return the number of observations along the requested axis.
Syntax: Panel.count (axis = ’major’)
Parameters: axis: {’items’, ’major’, ’minor’} or {0, 1, 2}
Returns: count of DataFrame
Code # 1:
| # 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 ]}) data = { ’item1’ : df1, ’item2’ : df1}
# create a panel panel = pd.Panel.from_dict (data, orient = ’ minor’ ) print (panel, "" ) print (panel [ ’b’ ]) print ( "" , panel [ ’ b’ ]. count ()) |
Output:
Code # 2:
| # pandas module import 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}
# create a panel panel = pd.Panel.from_dict (data, orient = ’minor’ ) print (panel, "" ) print (panel [ ’b’ ]) df2 = pd.DataFrame ({ ’b’ : [ 11 , 12 , 13 ]}) print ( "" , panel [ ’b’ ]. count ()) |
Output:
