Hi Zhangtao,
When I run that code I do not see the 2nd subplot. If I add
"fig.canvas.draw()" to the bottom, it appears, but it is not the same width
as the upper subplot.
On Tue, Nov 18, 2014 at 10:15 AM, zhangtao <tao.qui...@gmail.com> wrote:
> from matplotlib.pylab import *
> fig = plt.figure(1)
> fig.clf()
> data = np.random.random((3,3))
> xaxis = np.arange(0,3)
> yaxis = np.arange(0,3)
> ax1 = fig.add_subplot(211)
> im = ax1.imshow(data, interpolation='none')
> c = ax1.contour(xaxis, yaxis, data, colors='k')
> #----------------
> # draw ax1 first, so you can get proper position of ax1
> fig.canvas.draw()
> point_bl, point_tr = ax1.get_position().get_points() # ax1's bottom-left
> and top-right
> ax2 = fig.add_subplot(212)
> space = 0.45 # space between ax2's bottom left and ax1's bottom left in
> percentage
> ax2.set_position([point_bl[0], point_bl[1]-space,
> point_tr[0] - point_bl[0], point_tr[1] - point_bl[1]])
> plt.show()
>
>
> You can adjust that variable "space" as you need.
>
> If someone has some more easy ways to do this, please let me know.
>
>
>
> --
> View this message in context:
> http://matplotlib.1069221.n5.nabble.com/aligning-plot-width-with-imshow-contour-width-tp44408p44409.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
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