Dropping Rows and Columns with Missing Values
Explore how to handle missing data by dropping rows or columns in Pandas using the dropna function. Understand key parameters like axis, how, thresh, and inplace to control the removal process effectively.
We'll cover the following...
The dropna function
In the previous lesson, we learned how to check the number of missing values in a column or row. The next step is to handle them. We essentially have two options for handling missing values. First, we can drop rows or columns that contain missing values. The dropna function is used to drop rows and columns with missing values. To use this function accurately and efficiently, we need to first learn its parameters.
The axis parameter determines if rows or columns with missing values are removed. The default value is zero, which indicates rows. The how ...