Python | Pandas Panel.abs()
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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': ['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'], '\n') print(panel['b'].abs()) |
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['b']) df2 = pd.DataFrame({'b': [11, 12, 13]}) print(panel['b'].abs()) |
Output:
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