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Optimizing Memory Usage in a pandas DataFrame with infer_objects

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Optimizing Memory Usage in a pandas DataFrame with infer_objects

pandas DataFrames that contain columns of mixed data types are stored in a more general format (such as object), resulting in inefficient memory usage and slower computation times.

df.infer_objects() infers the true data types of columns in a DataFrame, which helps optimize memory usage in your code.

In the code above, df.infer_objects() converts the data type of “col1” from object to int64, saving approximately 27 MB of memory.

My previous tips on pandas.

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Work with Khuyen Tran

Work with Khuyen Tran