pandas select rows based on column value in list

Title: Selecting Rows in Pandas Based on Column Values in a List - A Step-by-Step Tutorial
Introduction:
Pandas is a powerful data manipulation library in Python that provides easy-to-use data structures and functions for efficiently working with structured data. In this tutorial, we'll explore how to select rows from a Pandas DataFrame based on values present in a list within a specific column.
Requirements:
Make sure you have Python installed on your machine along with the Pandas library. You can install Pandas using the following command:
Let's dive into the tutorial.
Step 1: Import the necessary libraries
Step 2: Create a sample DataFrame
For demonstration purposes, let's create a simple DataFrame with columns 'Name', 'Age', and 'City':
Step 3: Select rows based on column values in a list
Now, let's say we want to select rows where the 'City' column values are in a given list, for example, ['New York', 'Los Angeles'].
Explanation:
Output:
Conclusion:
In this tutorial, we learned how to select rows from a Pandas DataFrame based on values present in a list within a specific column. The isin() method is a handy tool for such tasks, making it easy to filter and extract relevant information from your data.
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