使用 python 将 Dataframe 转换为字典

Question

I have a dataframe like this:

and i want to convert it into a dictionary using exactly this format:

Do you guys have an idea on how to do that?

I also tried using df.T.to_dict() but it gives me some problems with the indices as well as a starting and end clip.

I figured it is some nesting problem, but I don't know how get rid of it:/

Please don't mind the harsh comments:) It is for a hate speech detection project!

Also I'm a new user so I don't have the reputation to post snippets directly! Sry for that!

Answer 1

you can do something like this:

[{"comments":comments} for comments in dataframe.comments]

you can also use .apply which is multiple (even thousands) times faster than iterate item by item in the dataframe:

df.apply(lambda row: {"comments":row.comments}, axis=1).tolist()