Hello, I’m currently working on a project that involves a dataset containing categorical variables. My objective is to create one-hot encodings for these variables. I attempted to use the
get_dummies() function from the
pandas library for this purpose. While it performs well with smaller datasets, I encountered significant slowdowns and memory usage as the dataset size increased.
Consequently, I’m seeking alternative methods to efficiently generate one-hot encodings for categorical variables. I’m specifically looking for approaches that offer both speed and minimal memory consumption. Any assistance or suggestions on how to address this issue more efficiently would be greatly appreciated. Thank you!
Here is the code I used: