How can I optimize memory usage in my DataFrame?
An example of an AI chatbot conversation about optimizing DataFrame memory usage.
How can I optimize memory usage in my DataFrame?
You can optimize memory usage in a DataFrame by using appropriate data types, dropping unnecessary columns, and using chunking.
What data types should I use to save memory?
Use smaller data types like 'float32' instead of 'float64' and 'category' for categorical data to save memory.
How do I drop unnecessary columns?
You can drop columns using the drop() method in pandas, specifying the columns you want to remove.
What is chunking and how does it help?
Chunking involves processing data in smaller pieces, which can reduce memory usage and improve performance.
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