Nils,
I tried to run your example, but there are some variables which are undefined.
Can you post a self contained revision of your example?
-Sterling
On Oct 11, 2013, at 1:34AM, Nils Wagner wrote:
> plt.colorbar(scalarMap,ax=ax) results in
>
> cm.py", line 309, in autoscale_None
> raise TypeError('You must first set_array for mappable')
> TypeError: You must first set_array for mappable
>
> Nils
>
>
>
> On Fri, Oct 11, 2013 at 9:51 AM, Eric Firing <efir...@hawaii.edu> wrote:
> On 2013/10/10 8:52 PM, Nils Wagner wrote:
> > Hi all,
> >
> > I tried to add a colorbar to a bar plot
> >
> > coolwarm = cm = plt.get_cmap('coolwarm')
> > values = range(100)
> > cNorm = colors.Normalize(vmin=0, vmax=values[-1])
> > scalarMap = cmx.ScalarMappable(norm=cNorm, cmap=coolwarm)
> > colours = []
> > for value in values:
> > colorVal = scalarMap.to_rgba(value)
> > colours.append(colorVal)
> >
> > fig = plt.figure()
> > ax = fig.add_subplot(111,projection='3d')
> > hist,bin_edges = np.histogram(efratio,bins=100,range=(0.,1.),density=False)
> > width = 0.7*(bin_edges[1]-bin_edges[0])
> > center = (bin_edges[:-1]+bin_edges[1:])/2
> > heatmap = ax.bar(center, hist, zs=z, zdir='y', align = 'center', width =
> > width,color=colours)
> > plt.colorbar(heatmap)
> >
> >
> >
> >
> >
> > mappable.autoscale_None() # Ensure mappable.norm.vmin, vmax
> > AttributeError: 'BarContainer' object has no attribute 'autoscale_None'
>
> This is because it is not an instance of ScalarMappable, which is what
> colorbar() requires as its argument.
> >
> > How can I fix the problem ?
>
> Use scalarMap as the argument instead of heatmap. I think you will need
> to provide either the cax or the ax kwarg in addition.
>
> examples/api/colorbar_only.py might also be helpful.
>
> Eric
> >
> > Nils
> >
> >
> >
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