Matplotlib Plot | Matplotlib Python Tutorial | Creating Plots
In this video, you’ll learn about creating plots using Matplotlib. Matplotlib is essential to Machine Learning! It allows you to create effective plots to visualize your data and find relationships between the features you are working with. In this video, you’ll learn how create x and y arrays; basic matplotlib commands such as plt.plot(), plt.show(), plt.xlabel(), plt.ylabel(), etc.; how to set x and y labels and titles; how to utilize the object oriented method to create plots; and finally what subplots are ad how to work with them. After watching this video and learning several Matplotlib commands/plots, there’s an activity right below this description for you to try out on your own using the skills you learned here. Enjoy!
CREATING PLOTS USING MATPLOTLIB ACTIVITY:
Create a linear plot with 3 different lines and create a subplot inside of the bigger plot with 3 more lines in the opposite direction.
TIMESTAMP:
00:00 Introduction & Recap of Last Video
00:18 Lesson Structure for Pandas Grouping Mechanisms Video
01:02 Create x and y arrays
02:09 Learn basic matplotlib commands
03:13 Set x and y labels and titles
04:21 Object oriented method of creating plots
08:27 Learn about subplots and how to work with them
09:30 Recap of Current Video
09:57 Call-to-action: Pandas Grouping Mechanisms
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