Twitter API with Python: Part 4 -- Visualizing Tweet Data
In this video, we will continue with our use of the Tweepy Python module and the code that we wrote.
We will be doing some basic analysis of the data we've stored into the pandas data frame. Specifically, we will be plotting time series plots based on the number of "likes" and "retweets" from a specified Twitter user.
Relevant Links:
Part 1: • Twitter API with Python: Part 1 -- St...
Part 2: • Twitter API with Python: Part 2 -- Cu...
Part 3: • Twitter API with Python: Part 3 -- An...
Part 4: • Twitter API with Python: Part 4 -- Vi...
Part 5: • Twitter API with Python: Part 5 -- Se...
Tweepy Website:
http://www.tweepy.org/
Cursor Docs:
http://docs.tweepy.org/en/v3.5.0/curs...
API Reference:
http://docs.tweepy.org/en/v3.5.0/api....
GitHub Code for this Video:
https://github.com/vprusso/youtube_tu...
My Website:
vprusso.github.io
Do you like the development environment I'm using in this video? It's a customized version of vim that's enhanced for Python development. If you want to see how I set up my vim, I have a series on this here:
http://bit.ly/lp_vim
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