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How to obtain the element-wise logical NOT of a Pandas Series?

Given a pandas series, we need to find element wise NOT on this series. By Pranit Sharma Last updated : September 20, 2023

Columns are the different fields that contain their particular values when we create a DataFrame. We can perform certain operations on both rows & column values. Pandas Series is just like columns. It is a One-dimensional array that contains a heterogeneous type of data.

Problem statement

Given a pandas series, we need to find element wise NOT on this series.

Obtaining the element-wise logical NOT of a Pandas Series

There is a certain way to initiate a pandas series, the simplest way is to define an array and pass it inside pandas.Series() method. This method of Pandas allows us to create a Series. The pandas.Series() method takes an array as a parameter.

Syntax:

class pandas.Series(
    data=None, 
    index=None, 
    dtype=None, 
    name=None, 
    copy=False, 
    fastpath=False
    )

import pandas as pd

Let us understand with the help of an example.

Create and print a Pandas Series

# Importing Pandas package
import pandas as pd

# Creating an array of elements 
# containing Boolean values
arr = [True, False, True, False, True]

# Creating a Series
ser = pd.Series(arr)

# Display Series
print("Created Series:\n",ser)

Output

The output of the above program is:

Now, we are going to find element-wise NOT on this Series, for this purpose we are going to use "not" keyword.

Python program to obtain the element-wise logical NOT of a Pandas Series

# Creating an empty array
emp = []

# Traversing the Series and appending the NOT of 
# each element of Series in empty array
for i in ser:
    emp.append(not(i))

# Updating series by converting empty array 
# again into Series
ser = pd.Series(emp)

# Display modified Series
print("Modified Series:\n",ser)

Output

The output of the above program is:

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