I want to average the sentiment scores for some video game reviews in a csv file. I've created a dictionary for these, but want to group each result for each row in the csv together.

```
  blob = TextBlob(review_text) 
  for sentence in blob.sentences: 
   ssp = {"Game": index, "Polarity":sentence.sentiment.polarity}
   print(ssp)

```

This gives an output like so:

```
{'Game': 1, 'Polarity': -0.49687499999999996}
{'Game': 2, 'Polarity': 0.3865909090909091}
{'Game': 2, 'Polarity': 0.0}
{'Game': 2, 'Polarity': 0.2142857142857143}
{'Game': 2, 'Polarity': 0.2142857142857143}
{'Game': 2, 'Polarity': 0.04999999999999999}
{'Game': 2, 'Polarity': 0.0}
{'Game': 2, 'Polarity': -0.02500000000000005}
{'Game': 2, 'Polarity': 0.4715909090909091}
{'Game': 2, 'Polarity': 0.26666666666666666}

```

So how do I group by Game 1, Game 2, Game 3? I then want to average the scores for each.

Thanks