How to get the most related row from a pandas dataframe by iterating over a dictionary

Let’s assume I have a dataframe like this:

And for the input I have a dictionary of one element which be like new_fruit = {'name' : 'Tangerine' , 'color' : 'Orange' , 'shape' : 'Circular', 'taste' : 'Sour'}

What I want is to iterate over this dictionary to get the most identical row(value) from the dataframe. In this case, Circular and Sour which are the Damson and Cherry rows.

I have tried with code

   for key, value in new_fruit.items():
    if key == 'name':
        continue
    if dataframe[key] == value: # Tried with isin too
        print(dataset[dataset[key] == value])
        break

I know something is wrong, but couldn’t figure it out, can you please help me solve this!

>Solution :

Maybe this will work for you:

mask = df == pd.Series(new_fruit)
items = df.loc[mask.any(axis=1), 'name'].tolist()

Output:

>>> items
['Cherry', 'Damson']