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Python Programming Learning Circle

Aug 12, 2021 · Big Data

Optimizing pandas DataFrames to Reduce Memory Usage by Up to 90%

This tutorial demonstrates how to analyze pandas memory consumption, downcast numeric columns, convert object columns to categoricals, and specify optimal dtypes when reading CSV files, achieving a reduction of nearly 90% in DataFrame memory usage while preserving full analytical capabilities.

Memory Optimizationbig-datacategorical

0 likes · 17 min read

Optimizing pandas DataFrames to Reduce Memory Usage by Up to 90%

Python Programming Learning Circle

Oct 29, 2020 · Fundamentals

Optimizing Pandas Memory Usage for Baseball Game Data

This article demonstrates how to reduce pandas DataFrame memory consumption by selecting appropriate column data types, downcasting numeric types, converting object columns to categorical, and specifying optimal dtypes during CSV import, using a 130‑year baseball dataset as a practical example.

Memory Optimizationcategoricaldataframe

0 likes · 12 min read

Optimizing Pandas Memory Usage for Baseball Game Data