pandas.DataFrame.loc两次给出标签的输出，并提及Name和dtype

Question

I have a pandas DataFrame indexed by item_id (numbers), I tried to access an item at a location by using DataFrame.loc[str(item_id),word] where word is the label of the column I want to access. Word is a string:

print(output.loc[str(df.loc[i,'item_id']),word])

The output I get is the following:

hu    0.0
hu    0.0
Name: 17349826, dtype: float64

here word has value hu and item_id had 17349826 .

I want the output as just:

0.0

Answer 1

I think you need select fist value of Series by iat for scalar output:

print(output.loc[str(df.loc[i,'item_id']),word]).iat[0]

And reason for duplicated output is duplicates in index values.