Hi Jochen,
I don't see the problem here with either 0.91.2, the maintanance branch, or
the development branch. Maybe I dont know what I am looking for. Could you
please send me an eps and png example so I can compare my results with yours?
On Monday 25 February 2008 04:53:47 pm Jochen Voss wrote:
> Hi,
>
> I have a strange (to me) problem with matplotlib version 0.91.2,
> installed from source on a Debian Linux system.
>
> I try to generate a plot which combines bitmap data (using "pcolor")
> and some lines (using "plot") as in the appended script. I switch off
> the coordinate axes using the command axis("off") and I try to set the
> displayed coordinate range using the command
>
> axis([x0-p, x1+p, y0-p, y1+p])
>
> near the end of the script.
>
> Problem: the output of this script, i.e. the file "out.eps" is
> shifted. To me it seems that the PostScript bounding box is wrong.
>
> Some things I noticed:
>
> 1) It seems that the pixel data from the pcolor command is centred in
> the boundign box. If I plot the pcolor output at different locations,
> the bounding box changes. This seems wrong to me, because I expect
> the bounding box to be determined by the above axis command.
>
> 2) If I comment out the axis("off") command, the output is no longer
> shifted and looks perfect, except that it now has the unwanted
> coordinate axes.
>
> 3) If I output an .png file, using the Agg backend, the problem does
> not appear. This does not help, since I need an .eps file.
>
> My questions: What am I doing wrong? How do I get an unshifted .eps
> file without coordinate axes? Any help would be very welcome.
>
> Many thanks in advance,
> Jochen
>
> == script starts next line ===========================================
> #! /usr/bin/env python
>
> import matplotlib
> matplotlib.use("PS")
> from pylab import *
>
> def create_hist():
> X = array([-2.3, -2.0, -1.7 ])
> Y = array([-0.3, -0.0, 0.3 ])
> hist = array([[ 0.2, 0.4 ], [ 0.6, 0.8 ]])
> return X, Y, hist
>
> def generate_figure(fname, X, Y, hist, stamp=None):
> width = 4.5
> height = 1.6
> margin = 0.05
> padding = 0.05
>
> x0 = -3.3
> x1 = 4.0
> q = (x1-x0)/(width - 2*margin - 2*padding)
> y0 = -0.3
> y1 = y0 + (height - 2*margin - 2*padding)*q
>
> # create an appropriately sized figure
> rc('text', usetex=True)
> rc('font', family="serif", serif="Times", size=12.0)
> rc('xtick', labelsize=12)
> rc('ytick', labelsize=12)
> rc('figure.subplot', left=margin/width)
> rc('figure.subplot', right=(width-margin)/width)
> rc('figure.subplot', bottom=margin/height)
> rc('figure.subplot', top=(height-margin)/height)
> fig = figure(figsize=(width, height))
> ax = axes([margin/width, margin/height,
> (width-2*margin)/width, (height-2*margin)/height])
> p = q*padding
>
> # plot the density data
> mycmdata = {
> 'red': ((0., 1.0, 1.0), (0.01, 0.95, 0.95), (1.0, 0.0, 0.0)),
> 'green': ((0., 1.0, 1.0), (0.01, 0.95, 0.95), (1.0, 0.0, 0.0)),
> 'blue': ((0., 1.0, 1.0), (0.01, 0.95, 0.95), (1.0, 0.0, 0.0)),
> }
> mycm = matplotlib.colors.LinearSegmentedColormap('mycm', mycmdata)
> pcolor(X, Y, hist, cmap=mycm, shading='flat')
>
> # plot the corner
> plot([x0, x0, x1], [y1, y0, y0], "k-")
> plot([x0+0.6, x0+0.6, x1], [y1, y0+0.6, y0+0.6], "k-")
>
> # place the stamp
> if stamp is not None:
> text(x1-p, y1-p, stamp, va='top', ha='right')
>
> # save the result
> axis([x0-p, x1+p, y0-p, y1+p])
> axis("off")
> savefig(fname, facecolor="yellow")
>
> X, Y, hist = create_hist()
> generate_figure("out.eps", X, Y, hist, "$t=1$")
--
Darren S. Dale, Ph.D.
Staff Scientist
Cornell High Energy Synchrotron Source
Cornell University
275 Wilson Lab
Rt. 366 & Pine Tree Road
Ithaca, NY 14853
[EMAIL PROTECTED]
office: (607) 255-3819
fax: (607) 255-9001
http://www.chess.cornell.edu
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