Pandas abs - Python Pandas Series abs() Function

Pandas Series abs() Function:

Pandas abs: The abs() function of the Pandas Series returns a Series with each element’s absolute numeric value. This function only works with all-numerical elements.

Syntax:

Series.abs()

Parameters: This function doesn’t accept any parameters

Return Value:

A Series or a DataFrame that contains the absolute value of each element is returned.

Pandas Series abs() Function in Python

Example1

Pandas absolute value: Here, the abs() function returns a Series with absolute numeric values for each element.

Approach:

Import pandas module using the import keyword.
Pass some random list as an argument to the Series() function of the pandas module to create a series.
Store it in a variable.
Print the above-given series.
Apply abs() function on the given series to get the absolute values of all the elements of the given series and print the result.
The Exit of the Program.

Below is the implementation:

# Import pandas module using the import keyword.
import pandas as pd
# Pass some random list as an argument to the Series() function
# of the pandas module to create a series.
# Store it in a variable.
gvn_series = pd.Series([-12, 40, -65, 0, -3])
# Print the above given series
print("The given series is:")
print(gvn_series)
print()
# Apply abs() function on the given series to get the 
# absolute values of all the elements of the given series
# and print the result.
print("The absolute values of all the elements of the given series:")
print(gvn_series.abs())

Output:

The given series is:
0   -12
1    40
2   -65
3     0
4    -3
dtype: int64

The absolute values of all the elements of the given series:
0    12
1    40
2    65
3     0
4     3
dtype: int64

Example2: On a Specified Series in a Dataframe

Here, the abs() function is applied to a particular series or column of a dataframe given.

Approach:

Import pandas module using the import keyword.
Pass some random key-value pair(dictionary) as arguments to the DataFrame() function of the pandas module to create a dataframe.
Store it in a variable.
Print the given dataframe.
Apply abs() function on the gvn_list1 series/column of the dataframe to get the absolute values of all the elements of the gvn_list1 series and print the result.
The Exit of the Program.

Below is the implementation:

# Import pandas module using the import keyword.
import pandas as pd
# Pass some random key-value pair(dictionary) as arguments to the 
# DataFrame() function of the pandas module to create a dataframe
# Store it in a variable.
data_frme  = pd.DataFrame({
  "gvn_list1": [-4, 20, 5, -2],
  "gvn_list2": [5, -7, -15, -13]
})
# Print the given dataframe
print("The given Dataframe:")
print(data_frme)
print()

# Apply abs() function on the gvn_list1 series/column of the dataframe 
# to get the absolute values of all the elements of the gvn_list1 series
# and print the result.
print("The absolute values of gvn_list1 series of the dataframe:")
print(data_frme["gvn_list1"].abs())

Output:

The given Dataframe:
   gvn_list1  gvn_list2
0         -4          5
1         20         -7
2          5        -15
3         -2        -13

The absolute values of gvn_list1 series of the dataframe:
0     4
1    20
2     5
3     2
Name: gvn_list1, dtype: int64

Pandas abs – Python Pandas Series abs() Function

Pandas Series abs() Function in Python

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