Python | Pandas Panel.size
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.size
gives the number of rows if Series. Otherwise return the number of rows times number of columns if DataFrame.
Syntax: Panel.size
Parameters: None
Returns: Returns value in int representing the number of elements in this object.
Code #1:
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 ]})
print ( "df1 is - \n\n" , df1)
df2 = pd.DataFrame(np.random.rand( 10 , 2 ), columns = [ 'a' , 'b' ])
print ( "df2 is - \n\n" , df2)
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Now, let’s create the Panel using dict of df1 and df2, and get the size of that panel.
data = { 'item1' :df1, 'item2' :df2}
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' ].size)
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Output:
Code #2:
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}
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' ].size)
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Output:
Code #3:
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}
panel = pd.Panel.from_dict(data, orient = 'minor' )
print ( "panel['b'] is - \n\n" , panel[ 'b' ])
print ( "\nSize of panel['b'] is - " , panel[ 'b' ].size)
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Output:
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