Twitter API with Python: Part 4 - Visualizing Tweet Data

August 4, 2018 comments 125 Reads

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: https://www.youtube.com/watch?v=wlnx-7cm4Gg
Part 2: https://www.youtube.com/watch?v=rhBZqEWsZU4
Part 3: https://www.youtube.com/watch?v=WX0MDddgpA4
Part 4: https://www.youtube.com/watch?v=w9tAoscq3C4
Part 5: https://www.youtube.com/watch?v=pdnTPUFF4gA
Tweepy Website:
http://www.tweepy.org/
Cursor Docs:
http://docs.tweepy.org/en/v3.5.0/cursor_tutorial.html
API Reference:
http://docs.tweepy.org/en/v3.5.0/api.html
GitHub Code for this Video:
https://github.com/vprusso/youtube_tutorials/tree/master/twitter_python/part_4_visualizing_tweet_data
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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