How can I optimize memory usage in Pandas?
You can optimize memory usage in Pandas by using data types that consume less memory, like 'category' for categorical data.
What are some specific techniques to reduce memory usage?
Some techniques include downcasting numeric types, using 'category' for strings, and dropping unnecessary columns.
How do I check the memory usage of a DataFrame?
You can check the memory usage of a DataFrame using the memory_usage()
method, which provides detailed information.
Are there any tools to help with memory management in Pandas?
Yes, tools like Dask and Vaex can help manage larger-than-memory datasets efficiently.
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