RE: [Matplotlib-users] wxList and FigureCanvasWx

[Engelsma, D. <D.E...@La...>]

John -- 

Thanks for the help! Your example cleared up a lot of problems. I'll send
you a screen dump of what I'm doing when it's ready.

Dave Engelsma
Lacks Wheel Trim Systems


> -----Original Message-----
> From: John Hunter [mailto:jdh...@ac...]
> Sent: Monday, May 03, 2004 4:52 PM
> To: Engelsma, Dave
> Cc: mat...@li...
> Subject: Re: [Matplotlib-users] wxList and FigureCanvasWx
> 
> >>>>> "John" == John Hunter <jdh...@ac...> writes:
> 
>     John> The example is included below.  I'll add it to the examples
>     John> dir for people who want to work directly with the Agg canvas
>     John> and renderer.
> 
> oops, left out a critical line - adding the axes to the figure.
> 
> Here is a modified example, which also demonstrates initializing a
> Numeric array from the string and passing the image off to PIL....
> 
> 
> """
> This is an example that shows you how to work directly with the agg
> figure canvas to create a figure using the pythonic API.
> 
> In this example, the contents of the agg canvas are extracted to a
> string, which can in turn be passed off to PIL or put in a numeric
> array
> 
> 
> """
> #!/usr/bin/env python
> from matplotlib.backends.backend_agg import FigureCanvasAgg
> from matplotlib.figure import Figure
> from matplotlib.axes import Subplot
> from matplotlib.mlab import normpdf
> from matplotlib.numerix import randn
> 
> fig = Figure(figsize=(5,4), dpi=100)
> ax = Subplot(fig, 111)
> fig.add_axis(ax)
> canvas = FigureCanvasAgg(fig)
> 
> mu, sigma = 100, 15
> x = mu + sigma*randn(10000)
> 
> # the histogram of the data
> n, bins, patches = ax.hist(x, 50, normed=1)
> 
> # add a 'best fit' line
> y = normpdf( bins, mu, sigma)
> line, = ax.plot(bins, y, 'r--')
> line.set_linewidth(1)
> 
> ax.set_xlabel('Smarts')
> ax.set_ylabel('Probability')
> ax.set_title(r'$\rm{Histogram of IQ: }\mu=100, \sigma=15$')
> 
> ax.set_xlim( (40, 160))
> ax.set_ylim( (0, 0.03))
> 
> canvas.draw()
> 
> s = canvas.tostring_rgb()  # save this and convert to bitmap as needed
> 
> # get the figure dimensions for creating bitmaps or numeric arrays,
> # etc.
> l,b,w,h = fig.bbox.get_bounds()
> w, h = int(w), int(h)
> 
> if 0:
>     # convert to a Numeric array
>     X = fromstring(s, UInt8)
>     X.shape = h, w, 3
> 
> if 0:
>     # pass off to PIL
>     import Image
>     im = Image.fromstring( "RGB", (w,h), s)
>     im.show()
>