The Merge Function
Explore how to combine multiple DataFrames using the Pandas merge function. Understand different merge types such as left, inner, outer, and cross merges to efficiently join data based on common columns. This lesson enables you to handle data combining tasks precisely by comparing column values.
We'll cover the following...
We'll cover the following...
Merging DataFrames
The merge function is another way to combine data from multiple resources. The concat function compares column names or row indexes when combining DataFrames, whereas the merge function compares values in the given column or columns to check matching rows.
The merge function merges two DataFrames based on the common values in shared columns. Suppose we have a product and a sales DataFrame ...