#!/usr/bin/env python
"""
Some people prefer to write more pythonic, object oriented, code
rather than use the matlab interface to matplotlib. This example show
you how.
Unless you are an application developer, I recommend using part of the
matlab interface, particularly the figure, close, subplot, axes, and
show commands. These hide a lot of complexity from you that you don't
need to see in normal figure creation, like instantiating DPI
instances, managing the bounding boxes of the figure elements,
creating and reaslizing GUI windows and embedding figures in them.
If you are an application developer and want to embed matplotlib in
your application, follow the lead of examples/embedding_in_wx.py,
examples/embedding_in_gtk.py or examples/embedding_in_tk.py. In this
case you will want to control the creation of all your figures,
embedding them in application windows, etc.
If you see an example in the examples dir written in matlab interface,
and you want to emulate that using the true python method calls, there
is an easy mapping. Many of those examples use 'set' to control
figure properties. Here's how to map those commands onto instance
methods
The syntax of set is
set(object or sequence, somestring, attribute)
if called with an object, set calls
object.set_somestring(attribute)
if called with a sequence, set does
for object in sequence:
object.set_somestring(attribute)
So for your example, if a is your axes object, you can do
a.set_xticklabels([])
a.set_yticklabels([])
a.set_xticks([])
a.set_yticks([])
"""
from matplotlib.matlab import figure, close, axes, subplot, show
from matplotlib.numerix import arange, sin, pi
t = arange(0.0, 1.0, 0.01)
fig = figure(1)
ax1 = fig.add_subplot(211)
ax1.plot(t, sin(2*pi*t))
ax1.grid(True)
ax1.set_ylim( (-2,2) )
ax1.set_ylabel('1 Hz')
ax1.set_title('A sine wave or two')
for label in ax1.get_xticklabels():
label.set_color('r')
ax2 = fig.add_subplot(212)
ax2.plot(t, sin(2*2*pi*t))
ax2.grid(True)
ax2.set_ylim( (-2,2) )
l = ax2.set_xlabel('Hi mom')
l.set_color('g')
l.set_fontsize('large')
show()
