Finding absolute values for a pandas dataframe object

Overview:

The absolute value of a real number is the distance from zero to its position in the number line. Hence, the real numbers -2 as well as +2 both will have the same distance of 2.
The absolute value is also called as modulus.
The absolute value of a complex number is given by the square root of the sum of squares of the real and the complex parts.

DataFrame.abs() method finds the absolute value for each of the numeric element present in a DataFrame and returns them as another DataFrame.

import pandas as pd

numbers = [(-2, -1 , 0, 1, 2),
(-1.2, -1.1, 0.0, 1.1 ,1.2),
((-3.5 + 2j), (-3.5 - 2j), (3.5 + 2j), (2.5 - 2j), None)]

dataFrame = pd.DataFrame(data=numbers)
print("DataFrame:")
print(dataFrame)

print("Absolute values of the DataFrame:")
print(abs(dataFrame))

DataFrame:

0 1 2 3 4

0 (-2+0j) (-1+0j) 0j (1+0j) 2.0

1 (-1.2+0j) (-1.1+0j) 0j (1.1+0j) 1.2

2 (-3.5+2j) (-3.5-2j) (3.5+2j) (2.5-2j) NaN

Absolute values of the DataFrame:

0 1 2 3 4

0 2.000000 1.000000 0.000000 1.000000 2.0

1 1.200000 1.100000 0.000000 1.100000 1.2

2 4.031129 4.031129 4.031129 3.201562 NaN