Proof of item:
Data and analytics are becoming increasingly important in our world and in modern day businesses. To start off with data analytics (and ultimately provide nice images of our results), we need to be able to plot our data, preferably in the way we imagine it in our heads.
Matplotlib provides many great plotting opportunities and methods for data visualization, and in this course we will be looking at some introductory methods for getting started with creating plots in Python.
Once we have a starting point for plotting data we can easily expand our knowledge to different areas to make sure we can best represent all of our data.
- Basic Python knowledge
- A Python 3 Environment to Code in
Basics of plotting with Matplotlib
StartIntroduction to Matplotlib (2:51)
PreviewImporting Libraries in Python (8:40)
StartDealing with Files in Python (14:18)
StartMaking Line and Scatter Plots (14:07)
StartAdding Labels, Titles, Axis Ticks, and Changing Line Styles (9:52)
StartRotating Axis Ticks, Adding Text and Annotations (7:57)
StartAdjusting Plot Sizes, Adding a Legend, and Saving the Plots (8:33)
PreviewCreating 1-Dimensional and 2-Dimensional Histograms (13:42)
StartChanging the Axis Scales (13:27)