On Jun 22, 2009, at 2:57 PM, Jae-Joon Lee wrote:
> The easiest solution I can think of is doing some monkey patching.
>
>
> import matplotlib.pyplot as plt
> import matplotlib.transforms as transforms
> import numpy as np
> fig = plt.figure()
> ax = fig.add_subplot(111)
> x = [0.25, 0.75, 0.25, 0.
All (and Jeff W. in particular),
It's the time of the year where I have to draw maps in batch. I wrote
a script to process some data recorded at various stations,
interpolate the data on a grid, draw the corresponding contours on a
basemap, add a colorbar, and end with adding some extra info
Hi Jae-Joon
On Mon, Jun 22, 2009 at 21:14, Jae-Joon Lee wrote:
> Without actual code, it is difficult to figure out what the real problem is.
sorry I didn't attach a complete example but I would have to strip down a lot :)
> Anyhow, did you check the below animation example?
>
> http://matplotli
Without actual code, it is difficult to figure out what the real problem is.
Anyhow, did you check the below animation example?
http://matplotlib.sourceforge.net/examples/animation/animation_blit_gtk.html
In the example, the grid is static (i.e., not animated). If what you
want is to have the gri
Tony,
My understanding is that (which might be wrong) drawing collections
involves (at least) 2 transforms. The first transform is (mostly) for
scaling, and the second transform is for offset. And this seems to be
true for PolygonCollection (which scatter creates) as far as I can
see.
set_transfo
Anyone else have ideas on how to display large images?
Thanks,
Adam
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