On 2014/03/06 4:18 AM, Asma Riyaz wrote:
> Hi,
>
> I am stuck at setting the color bar minimum and maximum values,
> according to what I found I need to set ticks to a numpy linspace array.
> Here is my code:
>
> *threshold=1.01
>
> fig = plt.figure(figsize=(25,25))
> plt.suptitle(file_handle.replace('.csv',''),fontsize=22)
> cmap.set_over('green')
> cmap.set_under('grey')
> gs=gridspec.GridSpec(1, 2,height_ratios=[1,1,-2,2]
> ,width_ratios=[2,1,-2,2],hspace=0,wspace=0)
>
> phyl_ax=plt.subplot(gs[0])
> ht_ax=plt.subplot(gs[1])
>
> ht_ax.set_xlim(34,0)
> ht_ax.set_ylim(34,0)
>
>
> cb_ax,kw =mpl.colorbar.make_axes(ht_ax, shrink=0.65)
>
> plt.setp(phyl_ax.get_xticklabels(),visible=False)
> plt.setp(phyl_ax.get_yticklabels(),visible=False)
> plt.setp(ht_ax.get_xticklabels(),visible=True)
> plt.setp(ht_ax.get_yticklabels(),visible=True)
> plt.setp(phyl_ax.get_xticklines(),visible=False)
> plt.setp(phyl_ax.get_yticklines(),visible=False)
> plt.setp(ht_ax.get_xticklines(),visible=True)
> plt.setp(ht_ax.get_yticklines(),visible=True)
>
>
> img =
> ht_ax.imshow(data,cmap=cmap,interpolation='none',vmin=-1.0,vmax=threshold,aspect='auto')
> v = np.linspace(-1.0, 1.0, 15, endpoint=True)
> cb =
> mpl.colorbar.ColorbarBase(ax=cb_ax,cmap=cmap,ticks=v,extend='neither',**kw)
> cb.cmap.set_over('green')
> img= mpimg.imread('/home/asmariyaz/Desktop/mytree.png')
> phyl_ax.imshow(img,interpolation='bilinear',aspect='auto')
> *
>
Why are you using ColorbarBase instead of using fig.colorbar? By doing
so, you are not getting the logic that ties the colorbar to the
color-mapped object to which it applies.
Eric
> The problem that arises is that the color bar's extent always shows up
> from 0 to 1, though I set the ticks from -1 to 1?
> I also noticed that in a dataset where I have a negative value, the
> color bar still shows up as 0 to 1.
>
> Could anyone guide me? Appreciate your help!!
>
> Asma
>
>
>
>
>
>
>
>
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