Append daily exchange rates to Pandas df

Question

I have a dataset like:

a = DataFrame({'clicks': {0: 12, 1: 19, 2: 14},
               'country ': {0: 'norway', 1: 'sweden', 2: 'italy'},
                 'date': {0: '2/2/2016', 1: '2/3/2016', 2: '2/4/2016'}})

I would like to add a new column to a, in order to get the exchange rates to Euro for those countries, looking like:

a = DataFrame({'clicks': {0: 12, 1: 19, 2: 14},
               'country ': {0: 'norway', 1: 'sweden', 2: 'italy'},
               'date': {0: '2/2/2016', 1: '2/3/2016', 2: '2/4/2016'},
               'exchangerate': {0: 0.92400000000000004, 1: 0.91700000000000004, 2: 1.0}})

I was thinking about using:

import pandas.io.data as web

jp = web.DataReader('DEXJPUS', 'fred')

but I can't find anything about EUR and other European currencies + linking to my df and getting daily data.