We can use np.where to identify the rows where a certain technology was chosen similar to:
A .loc can also be used and we can check if the indices from the technology classes can be easily match with those from the main dataframe of the model even if they are duplicated indices.
Vectorize the current code of the indicators extraction, as they are currently using
applyfunctions which are too expensive. https://github.com/Open-Source-Spatial-Clean-Cooking-Tool/OnSSTOVE/blob/6ebc539989e8e3cc62f7d3c67f0c6c8b2be75453/onsstove/onsstove.py#L948-L951We can use
np.whereto identify the rows where a certain technology was chosen similar to:A
.loccan also be used and we can check if the indices from the technology classes can be easily match with those from the main dataframe of the model even if they are duplicated indices.