This talk covers what matplotlib is, why use it and how to install it. We'll be covering simple examples that will allow you to get started, but also display the strengths of the matplotlib package. I spend most of my day writing queries using Jade and SQL. Here, we use matplotlib as part of my work for exploratory data analysis and display and explaination of complicated data. I presented this topic at my local linux group. This month someone showed me a graph they had done using matplotlib, after my talk.
10 slides of a open office presentation mixed with demonstration using pylab interactively and running a script to output a chart. - Introduction: Why I use matplotlib. - Installation: Which packages required and where to obtain them. - Website: Url and description - Short display using pylab interactively: Start up pylab in ipython and bring up a simple scatter chart. Explaination of the functionality of the show window. - Basic bargraph script: Explaination of code. Difference between axes, axis and figure. - Adding labels: Adding title, axis labels, legend, ticks and ticklabels. - How to import data: Genfromtxt Splitting the imported data - Multiple plots on the same figure: Using Subplot Using Gridspec which requires matplotlib 1.0.0 - Twin Axes: How to plot two different datasets on the same plot with different scales.
[Presentation by Catherine Thwaites, uploaded by ewblen on behalf of kiwipycon]