.. _pylab_examples-pythonic_matplotlib:

pylab_examples example code: pythonic_matplotlib.py
===================================================



.. plot:: /home/tcaswell/source/p/matplotlib/doc/mpl_examples/pylab_examples/pythonic_matplotlib.py

::

    """
    Some people prefer to write more pythonic, object-oriented code
    rather than use the pyplot interface to matplotlib.  This example shows
    you how.
    
    Unless you are an application developer, I recommend using part of the
    pyplot 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 realizing 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 are a web application developer, you may want to use the
    example in webapp_demo.py, which shows how to use the backend agg
    figure canvas directly, with none of the globals (current figure,
    current axes) that are present in the pyplot interface.  Note that
    there is no reason why the pyplot interface won't work for web
    application developers, however.
    
    If you see an example in the examples dir written in pyplot 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
    
      plt.setp(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.pyplot import figure, show
    from numpy 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()
    

Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)