Author(s): Byron Dolon
Originally published on Towards AI.
How to quickly filter string columns in Pandas for Machine Learning pre-processing
Used with permission from ohmintyartz
The Pandas library is used extensively not only for crunching numbers but also for working with text and object data.
For data analysis applications, exploratory machine learning, and data pre-processing steps, you’ll want to either filter out or extract information from text data. To do so, Pandas offers a wide range of methods that you can use to work with text columns in your DataFrames.
In this article, let’s go through three different ways to filter a Pandas DataFrame column by a specific substring. If you want to follow along, you can download the dataset here. We’ll use… Read the full blog for free on Medium.
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Published via Towards AI