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Boolean indexing

Boolean indexing is defined as a very important feature of numpy, which is frequently used in pandas. Its main task is to use the actual values of the data in the DataFrame. We can filter the data in the boolean indexing in different ways, which are as follows:

  • Access the DataFrame with a boolean index.
  • Apply the boolean mask to the DataFrame.
  • Masking the data based on column value.
  • Masking the data based on the index value.

Example1

This example shows the working of how to access the DataFrame with a boolean index:

Output:

name      age
True     Smith     28
True     William   39
False    Phill     34
True     Parker    36

Example2

This example shows the working of how to access the DataFrame with a boolean index by using .loc[]

Output:

name    age
True   Smith     28
True   William   39
True   Parker    36

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