Pandas dataframe to dictionary with row index as value?

Question

How can I convert a pandas df to a dictionary that uses its row index as the value? For example, say I have df with a single column:

df = pd.DataFrame({
                   'ID': [3823, 4724,6233,2438],
                  })

which gives me:

and I want to return a dictionary that will be:

{3832: 0,  4724: 1, 6233: 2, 2438: 3}

Thanks!

user_13176896 · Answer

Use to_dict() and dictionary comprehension as follows.

{v:k for k, v in df['ID'].to_dict().items()}

user_10208481 · Answer

This should work:

ret_dict = {df.loc[index, 'ID']:index for index in df.index}

Output:

{3823: 0, 4724: 1, 6233: 2, 2438: 3}