Python | Pandas Panel.abs()
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.abs()
function is used to return a Series/DataFrame with absolute numeric value of each element.
Syntax: Panel.abs()
Parameters: None
Returns: Series/DataFrame containing the absolute value of each element.
Code #1:
# importing pandas module import pandas as pd import numpy as np df1 = pd.DataFrame({ 'a' : [ 'Beginner' , 'For' , 'Beginner' , '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' ], '\n' ) print (panel[ 'b' ]. abs ()) |
Output:
Code #2:
# importing pandas module import pandas as pd import numpy as np df1 = pd.DataFrame({ 'a' : [ 'Beginner' , 'For' , 'Beginner' ], 'b' : np.random.randn( 3 )}) data = { 'item1' :df1, 'item2' :df1} # creating Panel panel = pd.Panel.from_dict(data, orient = 'minor' ) print (panel[ 'b' ]) df2 = pd.DataFrame({ 'b' : [ 11 , 12 , 13 ]}) print (panel[ 'b' ]. abs ()) |
Output:
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