When to Use size() or count() Methods
Knowing when to use size() or count() depends on your specific data analysis needs:
- Use Pandas size() when you want to understand the overall size of your dataset, including missing values. For example, you might use it to calculate proportions or ratios involving missing data.
- Use Pandas count() when you need to know how many valid data points you have in a specific column or when you want to filter out rows with missing values for further analysis.
Difference between size and count in Pandas?
When dealing with data frames, two commonly used methods are size() and count(). While they might seem similar at first glance, they serve different purposes and produce different results. In this article, we’ll explore the What’s the differences between size() and count() in Pandas and when to use each of them.