On Wed, Nov 9, 2011 at 10:07 AM, Howard <how...@renci.org> wrote:
> Hi all
>
> I'm a new user to matplotlib, and I'm having a little difficulty with
> something I feel must be basic. When I plot our data, I'm using a canvas
> that is 4"x4" at 128 DPI and saving the canvas as a png. Here's the basics
> of the code:
>
> imageWidth = 4
> imageHeight = 4
> DPI = 128
>
> figure1 = plt.figure(figsize=(imageWidth,imageHeight))
> plt.axis("off")
> plt.tricontourf(theTriangulation,
> modelData,
> theLookupTable.N,
> cmap=theLookupTable)
> canvas = FigureCanvasAgg(figure1)
> canvas.print_figure(prefix + ".png", dpi=DPI)
>
> The png is 512x512 as I would expect, but the contoured image doesn't fill
> the whole image. How do I tell the library to map the plotted are to the
> entire canvas and not leave a border around the rendered image?
>
You need to make an axis that fills up the entire figure.
By default, axes don't fill up the entire figure to leave room for tick
labels, axis lables, titles, etc.
Try something like:
import matplotlib as plt
dpi = 128
fig = plt.figure(figsize=(4,4))
# Specifies an axis at 0, 0 with a width and height of 1 (the full width of
the figure)
ax = fig.add_axes([0,0,1,1])
ax.tricontourf(...)
fig.savefig('output.png', dpi=dpi)
Hope that helps,
-Joe
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