Finding the Missing Values
Explore how to identify missing values in datasets using Pandas isna and notna functions. This lesson helps you count missing or non-missing data across rows and columns, forming a key step in data cleaning and preparation.
We'll cover the following...
We'll cover the following...
The isna and notna functions
The first step in handling missing values is to find them.
We can use either the isna or notna function to detect missing values. The isna function evaluates each cell in a DataFrame and returns True to indicate a missing value. Let’s work through an example to see ...