Great ideas! I’ve used a similar technique but with a bit of added flexibility. Sometimes I need to apply custom logic to each row, so I use something like this:
df.set_index('ID').apply(lambda row: row.tolist(), axis=1).to_dict()
This approach still gives you the same dictionary output but allows you to adjust the logic easily within the lambda. It’s perfect for when you need to tweak things a bit before converting the DataFrame into a dictionary. It’s definitely readable and efficient when the data isn’t entirely clean or needs specific formatting before you convert it.