Contour will work as expected if the axes is in log scale. See below.
z = np.arange(100).reshape((10,10))
x = np.logspace(0, 4, 10)
y = np.logspace(0, 4, 10)
ax1 = subplot(121)
ax1.contour(np.log10(x), np.log10(y), z)
ax2 = subplot(122)
ax2.set_xscale("log")
ax2.set_yscale("log")
ax2.contour(x, y, z)
Regards,
-JJ
p.s. good to see another astronomer begin to use matplotlib.
On Mon, Jan 11, 2010 at 3:33 PM, Jonathan Slavin
<[email protected]> wrote:
> Is there any way to simply make a contour plot with logarithmic axes
> using matplotlib? I found a workaround by plotting log10(x), log10(y),
> but it'd be nicer if it was more direct.
>
> As someone new to matplotlib (experienced in IDL) I'm finding much to
> like, but some things are more difficult for no clear reason. It would
> seem to me that whether the axes are logarithmic or not would be a nice
> thing to have as an attribute of the plot object. I'm not familiar yet
> with the matplotlib internals to know how difficult that would be to
> implement, but it sure would be convenient.
>
> Jon Slavin
>
>
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