On Mon, Nov 16, 2009 at 4:12 AM, XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX wrote:
> Hi,
>
> I'd like to know if it's possible to do something like this in matplotlib:
>
> I want to create a 2D plot with legend, output as PNG. I also want to
> embed a logo in it, in the top right corner of the plotting area. If
> the original logo image is a 40px by 40px PNG, I want it to appear at
> that size exactly as it is in the original logo.
>
> Even if I can't do this directly, I might be able to fudge it if
> matplotlib tells me the exact (pixel) dimensions of the plot area —
> then I could scale and offset the secondary axes, convert the logo PNG
> to RGB values and plot that (or use Python to invoke an imagemagick
> subprocess and pass it those numbers... anything, really).
>
> Is it possible to get this info from matplotlib, or is there a better
> way to do this?
See
http://matplotlib.sourceforge.net/examples/api/watermark_image.html
for an example of embedding a watermark image in mpl.
To compute figure size, multiply the DPI setting by the figure
dimensions in inches:
dpi = 100 # dpi, whatever value you want
width, height = 6,4 # in inches, whatever values you want
fig = plt.figure(figsize=(width, height), dpi=dpi)
pixelw = dpi * width # pixel width of figure
pixelh = dpi * height # pixel height of figure
# now watermark you figure as in the example linked above, passing the
pixel coords of the lower left corner of the image to figimage
# this last piece is important: pass dpi to savefig too since mpl
supports different dpi for display and hardcopy
fig.savefig(myfile, dpi=dpi)
JDH
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