Python | Pandas Panel.sum ()

Michael Zippo 18.07.2021

Panel.sum() is used to return the sum of values for the requested axis.

Syntax: Panel.sum (axis = None, skipna = None, level = None, numeric_only = None, min_count = 0, ** kwargs)

Parameters:
axis: {items (0), major_axis (1), minor_axis (2)}
skipna: Exclude NA / null values when computing the result.
level: If the axis is a MultiIndex, count along a particular level , collapsing into a DataFrame
numeric_only: Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data.
min_count: The required number of valid values to perform the operation.

Returns: DataFrame or Panel

Code # 1:

# pandas module import

import pandas as pd

import numpy as np

df1 = pd.DataFrame ({ ’a’ : [ ’Geeks’ , ’For’ , ’ geeks’ , ’f or’ , ’real’ ],

’b’ : [ 11 , 1.025 , 333 , 114.48 , 1333 ]})

data = { ’ item1’ : df1, ’item2’ : df1 }

# create a panel

panel = pd.Panel.from_d ict (data, orient = ’minor’ )

print (panel [ ’b’ ], ’ ’ )

print ( "" , panel [ ’b’ ]. sum (axis = 0 ))

Output:

Code # 2:

# import pandas module

import pandas as pd

import numpy as np

df1 = pd.DataFrame ({ ’a’ : [ ’ Geeks’ , ’For’ , ’geeks’ , ’for’ , ’ real’ ],

’b’ : [ 33.0 , - 152.140 , 3.0133 , 114.48 , 13.033 ]})

data = { ’item1’ : df1, ’item2’ : df1}

# create a panel

panel = pd.Panel.from_dict (data, orient = ’minor’ )

print (panel [ ’b’ ], ’’ )

print ( "" , panel [ ’b’ ]. sum (axis = 1 ))

Output:

Code # 3:

Output:

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# 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 < code class = "keyword"> = pd.Panel.from_dict (data, orient = ’minor’ )

print (panel [ ’b’ ], ’ ’ )

print ( " " , panel [ ’ b’ ]. sum (axis = 1 ))