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Difference between loc() and iloc() in Pandas DataFrame

Profile picture for user devanshi.srivastava
Written by devanshi.srivastava on 11/17/2021 - 08:21

Here are some difference between loc() and iloc():

  loc() iloc()
Label or Integer based loc() method  is label-based which means we have to specify both the names of rows and columns that we want to filter out while iloc() method is integer-based which means we have to just pass the integer index to select specific row/columns.
inclusion of last element loc() method includes the last element while iloc() method does not include the last element.
Input Used Input we can use in loc() methods are:
- A string
- A list of strings
- Slice notation using strings as the start and stop values
Input we can use in iloc() methods are:
- An integer
- A list of integers
- Slice notation using integers as the start and stop values
Boolean Data Type loc() method can accept the boolean data while iloc() method does not accept boolean data
Related Content
Pandas Tutorial
Python Pandas DataFrame Property: loc
Python Pandas DataFrame Property: iloc
Tags
Python Pandas
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