python pandas get unique values in column

Title: Getting Unique Values in a Column using Python Pandas
Introduction:
Python Pandas is a powerful library for data manipulation and analysis. One common task is to retrieve unique values from a specific column in a DataFrame. In this tutorial, we'll explore different methods to achieve this using Pandas.
If you haven't installed Pandas yet, you can do so using the following command:
Start by importing the Pandas library in your Python script or Jupyter Notebook:
Let's create a sample DataFrame to work with:
Now, let's focus on getting unique values from a specific column. We will use the 'Name' column in this example.
In this tutorial, we explored two methods to get unique values from a specific column in a Pandas DataFrame. The unique() function and drop_duplicates() function both serve the purpose of extracting distinct values. Choose the method that best fits your requirements.
Feel free to adapt these examples to your specific use cases, and remember that the same techniques can be applied to other columns in your DataFrame. Pandas provides a wide range of functions for data manipulation, making it a valuable tool for working with tabular data in Python.
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