July 2018
Beginner to intermediate
146 pages
3h 39m
English
Content preview from Hands-On Recommendation Systems with Python
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Genres
Upon preliminary inspection, we can observe that the genres are in a format that looks like a JSON object (or a Python dictionary). Let us take a look at the genres object of one of our movies:
#Print genres of the first moviedf.iloc[0]['genres']OUTPUT:"[{'id': 16, 'name': 'Animation'}, {'id': 35, 'name': 'Comedy'}, {'id': 10751, 'name': 'Family'}]"
We can observe that the output is a stringified dictionary. In order for this feature to be usable, it is important that we convert this string into a native Python dictionary. Fortunately, Python gives us access to a function called literal_eval (available in the ast library) which does exactly that. literal_eval parses any string passed into it and converts it into its corresponding Python ...
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