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': ['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: