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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.
Submitted by Pranit Sharma, on May 17, 2022

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.

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.

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
    )

To work with pandas, we need to import pandas package first, below is the syntax:

import pandas as pd

Let us understand with the help of an example.

# 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:

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

Example:

# 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:

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