python pandas get unique values from column

Pandas is a powerful and popular data manipulation library in Python. One common task when working with data is to extract unique values from a column. In this tutorial, we will explore how to use Python Pandas to get unique values from a column.
Make sure you have Python and Pandas installed. You can install Pandas using the following command:
Let's consider a simple example where we have a DataFrame with a column named "Category" and we want to get unique values from this column.
Import Pandas: Begin by importing the Pandas library.
Create a DataFrame: Create a sample DataFrame with columns 'ID', 'Name', and 'Category'.
Display Original DataFrame: Print the original DataFrame to understand the structure of the data.
Get Unique Values: Use the unique() method on the 'Category' column to get an array of unique values.
Display Unique Values: Print the unique values obtained from the 'Category' column.
In the output, you can see the original DataFrame and the unique values obtained from the 'Category' column.
Getting unique values from a column in Pandas is a straightforward task using the unique() method. This tutorial covered the basic steps with a simple code example. You can apply a similar approach to other columns in your DataFrame based on your specific data analysis needs.
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