# 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.

## Calculating absolute value of a numeric values of a DataFrame using pandas:

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

## Example:

 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))

## Output:

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