Q:

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

mahmoud2506
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2022-05-25
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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
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mahmoud2506
2022-05-25
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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:

Example 1: obtain the element-wise logical NOT

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