How can I optimize my Pandas code for better performance?

How can I optimize my Pandas code for better performance?

There are several ways to optimize your Pandas code. You can use vectorized operations, avoid loops, and utilize the apply function wisely.

What are vectorized operations?

Vectorized operations allow you to perform operations on entire arrays or columns at once, which is much faster than iterating through rows.

Can you give me an example of using vectorized operations?

Sure! Instead of using a loop to add a constant to each element in a column, you can simply do df['column'] + constant.

What about memory usage? Any tips?

Yes! You can reduce memory usage by using appropriate data types, like using category for categorical data and float32 instead of float64.