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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