Discover more from Daily Dose of Data Science

High-quality insights on Data Science and Python, along with best practices — shared daily. Get a free 550+ page data science PDF guide and 450+ practice questions notebook.

Over 49,000 subscribers

Reduce Memory Usage Of A Pandas DataFrame By 90%

Avi Chawla

Jan 5, 2023

By default, Pandas always assigns the highest memory datatype to its columns. For instance, an integer-valued column always gets the int64 datatype, irrespective of its range.

To reduce memory usage, represent it using an optimized datatype, which is enough to span the range of values in your columns.

Read this blog for more info. It details many techniques to optimize the memory usage of a Pandas DataFrame.

Share this post on LinkedIn: Post Link.

Find the code for my tips here: GitHub.

I like to explore, experiment and write about data science concepts and tools. You can read my articles on Medium. Also, you can connect with me on LinkedIn.