Plotting
This material is presented as a series of short videos that cover
- how to make a figure and plot single values
- plotting traces and arranging multiple panels in a figure
- a workflow that summarizes data loaded from an Excel file and displays it in different formats
Accessing files
See GitHub for instructions on how to download the course material to your local computer.
The source files for this lecture are at <repo>/lectures/plotting
Other useful material
- MATLAB plot gallery for many examples and demo code.
- matplotlib gallery
- similar to the MATLAB plot gallery but for the Python architecture
- seaborn gallery
- even nicer than matplotlib and again for the Python architecture
Core materials
- Lecture videos
Getting started
Make a figure and plot single values
Arranging subplots
Plotting traces and arranging multiple panels using the subplot command
Plotting mean and error values for data in an Excel file
Loads data from an Excel file, calculates the mean and standard deviation for each group in the data, and creates subplots for 3 different ways of presenting the information.