python pandas unique values

Title: Exploring Unique Values in Python Pandas: A Comprehensive Tutorial
Introduction:
Python Pandas is a powerful library for data manipulation and analysis. One common task is to explore unique values within a dataset. In this tutorial, we'll delve into different methods provided by Pandas to identify and analyze unique values.
Before we start, make sure to install Pandas using:
Now, import Pandas in your Python script or Jupyter notebook:
Let's create a sample DataFrame for demonstration purposes:
The unique() method returns an array of unique values in a specified column:
To get the count of unique values in a column, use the nunique() method:
The value_counts() method returns a Series containing counts of unique values:
The duplicated() method identifies duplicate rows, and drop_duplicates() removes them:
Filter the DataFrame based on specific unique values:
Exploring unique values is a crucial step in understanding your dataset. Pandas provides powerful tools like unique(), nunique(), value_counts(), duplicated(), and drop_duplicates() to simplify this process. Incorporate these methods into your data analysis workflow for a more comprehensive understanding of your data.
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