Web Reference: pandas provides various methods for combining and comparing Series or DataFrame. The concat() function concatenates an arbitrary amount of Series or DataFrame objects along an axis while performing optional set logic (union or intersection) of the indexes on the other axes. It's also possible to create a generator that simply iterates over the items in both lists using itertools.chain(). This allows you to chain lists (or any iterable) together for processing without copying the items to a new list: Dec 5, 2025 ยท When we're working with multiple datasets we need to combine them in different ways. Pandas provides three simple methods like merging, joining and concatenating. These methods help us to combine data in various ways whether it's matching columns, using indexes or stacking data on top of each other. In this article, we'll see these methods.
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