Matplotlib pyplots tutorial

I actually learned how to use some of the basics of pyplot last week, but this blog post is a little delayed due to the previous long Pelican posts.
For my current job, we are creating plots from csv files and would like to display them in a django website. I have started to learn the basics of creating plots from a youtube tutorial series covering matplotlib by Corey Schafer.

The tutorial series covered the following graph types:

• Line plot

• Bar graph

• Pie chart

• Stackplot

• Histogram

• Scatterplot

He also covered different arguments associated with the graphs such as color, line width, labels, style, etc. as well as graph basics like x and y axis label, title, grid lines, and legends.

This tutorial only covered the basics. I realized these things are difficult to program into a python file and how much Microsoft Excel or JMP makes it easier for everyday people without coding skills to make computer graphs. I've come to appreciate those programs a little more. But, I believe knowing how to use matplotlib in python will allow me to create graphs with python scripts, help in the long-run in understanding how to program, and automate making graphs. I mean I could automate in Excel with VBA, but then I would have to learn VBA.

We've also started to look at how to make 3d scatter and line plots as we want to compare multiple datasets. This should help us visualize and compare the data we are obtaining.