Scientific Computing with Python
Austin, Texas • July 6-12
Registration - 100% Full
Austin, Texas • July 6-12
Registration - 100% Full
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Monday 8 a.m.–noon
Anatomy of Matplotlib
Benjamin Root
- Audience level:
Description
This tutorial will be the introduction to matplotlib. Users will learn the types of plots and experiment with them. Then the fundamental concepts and terminologies of matplotlib are introduced. Next, we will learn how to change the "look and feel" of their plots. Finally, users will be introduced to other toolkits that extends matplotlib.
Abstract
Introduction
Purpose of matplotlib
Online Documentation
matplotlib.org
Mailing Lists and StackOverflow
Github Repository
Bug Reports & Feature Requests
What is this "backend" thing I keep hearing about?
Interactive versus non-interactive
Agg
Tk, Qt, GTK, MacOSX, Wx, Cairo
Plotting Functions
Graphs (plot, scatter, bar, stem, etc.)
Images (imshow, pcolor, pcolormesh, contour[f], etc.)
Lesser Knowns: (pie, acorr, hexbin, streamplot, etc.)
What goes in a Figure?
Axes
Axis
ticks (and ticklines and ticklabels) (both major & minor)
axis labels
axes title
figure suptitle
axis spines
colorbars (and the oddities thereof)
axis scale
axis gridlines
legend
Manipulating the "Look-and-Feel"
Introducing matplotlibrc
Properties
- color (and edgecolor, linecolor, facecolor, etc...)
- linewidth and edgewidth and markeredgewidth (and the oddity that happens in errorbar())
- linestyle
- fonts
- zorder
- visible