How can I profile my Pandas code for performance?
An example of an AI chatbot conversation about profiling Pandas code for performance optimization.
How can I profile my Pandas code for performance?
You can use the line_profiler package to profile your Pandas code. It allows you to see the time spent on each line of your code.
Can you show me an example of how to use line_profiler with Pandas?
Sure! First, install line_profiler using pip. Then, you can decorate your function with @profile and run it to see the profiling results.
What other tools can I use for profiling?
You can also use cProfile, memory_profiler, or even built-in Pandas functions like df.info() to get insights on memory usage.
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