Pybites Platform

Filter and order tweets by polarity values

In this Bite we collected some random tweets and populated a list of named tuples of text and a polarity rating which we got using TextBlob, an awesome module that makes it easy to do sentiment analysis.

  blob = TextBlob(tweet)
  polarity = blob.sentiment.polarity

A polarity of < 0 indicates a negative sentiment, > 0 a positive one.

In this Bite we practice list comprehensions and sorting.

Complete the two functions below following their docstrings (and type hints).

Enjoy and keep calm and code in Python!