pandas display unique values in column

Certainly! Pandas is a popular library in Python used for data manipulation and analysis. It offers various functions to perform tasks like displaying unique values in a column of a DataFrame. Here's a tutorial that demonstrates how to display unique values in a column using Pandas with code examples:
Firstly, ensure that you have Pandas installed. If you haven't installed it yet, you can do so via pip:
In your Python script or Jupyter Notebook, import the Pandas library:
Let's create a sample DataFrame to work with:
To display unique values in a specific column of the DataFrame, you can use the unique() method on that column. Here's an example:
This code snippet will output the unique values present in the 'Name' column of the DataFrame.
If you want to see the unique values along with their counts in a column, you can use the value_counts() method:
This code will output the counts of each unique value present in the 'City' column of the DataFrame.
In this tutorial, you learned how to display unique values in a column using Pandas in Python. Utilizing methods like unique() and value_counts(), you can easily explore and analyze the unique values within your dataset.
Feel free to apply these methods to your own datasets for discovering unique values in specific columns using Pandas!
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