I can write some fairly decent Python code. In fact, I’ve recently

written 400-500 lines often using numpy. There are still a number of

concepts that are fuzzy. I have a modest familiarity of OOP from years

ago with C++, and a few things I’ve picked up from Python. Five years

ago, I was working with Matlab, but my knowledge has diminished.

Nevertheless, I finally decided to graphics, MPL, to display what I’m

doing. I’ve had some modest success using very basic operations,

sometime guessing at usage along the way. I’ve looked through the

bewildering array of MPL, pylab, pyplot docs and examples. It’s

slowly fitting together. I decided to give the following web page a

closer look to see what are the differences between the MPL players.

. I’ve

copied a few paragraphs at the start of the FAQ below.

I’ve studied it fairly carefully, and more or less comprehend it.

However, why does it need words like state-machine, convenience

functions, and object-oriented. I’m familiar with them all, but the

concepts really aren’t presented clearly in relationship to the code

below. I’m not even sure if we are pro-pylab or pyplot as the

preferred-style. What part of some of the code is pyplot or otherwise?

Highlight it. Not everyone is clear on some of the assumed Python

concepts here.

It seems as though Python has a way of aligning itself with other

tools, For example, Matlab and Tk. Despite the apparent appeal of MPL

and Tkinter, seldom, maybe never, is anyone who is attracted to these

ideas really familiar with the tools on which they are based. (Perhaps

its the other way. Everyone knows them )Yet no explanation is

offered. What would that take, 3 pages each? ============================================

So, why do all the extra typing required as one moves away from…

## ···

http://matplotlib.sourceforge.net/faq/usage_faq.html

## Matplotlib, pylab, and pyplot: how are they related?¶

Matplotlib is the whole package; `pylab`

is a module in matplotlib

that gets

installed alongside `matplotlib`

;

and `matplotlib.pyplot`

is a

module in matplotlib.

Pyplot provides a Matlab-style state-machine interface to

the underlying object-oriented plotting library in matplotlib.

Pylab combines the pyplot functionality (for plotting) with the

numpy

functionality (for mathematics and for working with arrays)

in a single namespace, making that namespace

(or environment) even more Matlab-like. This is what you get if

you use the

*ipython* shell with the *-pylab* option, which imports

everything

from pylab and makes plotting fully interactive.

…

And using pyplot convenience functions, but object-orientation for

the rest:

```
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(0, 10, 0.2)
y = np.sin(x)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x, y)
plt.show()
```

–

My life in two words. “Interrupted Projects.” – WTW (quote originator)