python pandas unique values in column

Pandas is a powerful and widely used data manipulation library in Python. It provides data structures such as Series and DataFrame that are essential for working with structured data. In this tutorial, we will explore how to find unique values in a specific column of a Pandas DataFrame using Python.
Make sure you have Pandas installed in your Python environment. You can install it using:
To get started, import the Pandas library in your Python script or Jupyter notebook.
Create a DataFrame with some sample data. For this tutorial, let's create a simple DataFrame with a few columns.
Now, let's say we want to find the unique values in the 'City' column. Pandas provides the unique() method to achieve this.
The unique() method returns an array of unique values present in the specified column.
If you also want to know the count of each unique value in the column, you can use the value_counts() method.
The value_counts() method returns a Series with the counts of unique values.
In this tutorial, we covered the basics of finding unique values in a specific column of a Pandas DataFrame using Python. This knowledge is valuable when working with datasets and you need to explore the unique values within a particular attribute.
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