How to Find Unique Values in Pandas DataFrame — unique(), nunique() & value_counts() скачать в хорошем качестве

How to Find Unique Values in Pandas DataFrame — unique(), nunique() & value_counts()

In this video, I will show you how to find unique values in a Pandas DataFrame step by step for beginners learning Pandas, Python, and data analytics. I explain the power of .unique(), nunique(), and value_counts() methods to quickly identify distinct entries and understand data frame unique values. You will learn how to find unique combinations of two columns, check for duplicates, and analyze categorical columns for better data analysis. I demonstrate real examples using taxi dataset columns like payment type, pickup zone, and drop-off zone to find all possible values and pairwise unique entries. By the end of this video, you will confidently use Pandas version of DISTINCT, get unique entries, and work with data frames to extract unique values efficiently. I also show how to sort value counts ascending or descending to quickly find the most frequent and least frequent categories. This tutorial is perfect for beginners learning Pandas basics, data frames in Python, and anyone who wants to learn Python for data science. Timestamps: 0:00 – Introduction & Why Unique Values Matter 1:17 – Using .unique() on a single column 2:21 – Using nunique() to count unique entries 3:39 – Using value_counts() to check frequency of unique values 7:37 – Finding unique values for all columns using dictionary comprehension 9:08 – Conclusion & Summary of Methods #PandasUnique #PandasDistinct #DataFrameUniqueValues