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’
How can I fix the problem ?
Nils
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
···
On 2013/10/10 8:52 PM, Nils Wagner wrote:
Nils
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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 <efiring@…83…202…> 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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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 <efiring@...202...> 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
>
>
>
> ------------------------------------------------------------------------------
> October Webinars: Code for Performance
> Free Intel webinars can help you accelerate application performance.
> Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from
> the latest Intel processors and coprocessors. See abstracts and register >
> http://pubads.g.doubleclick.net/gampad/clk?id=60134071&iu=/4140/ostg.clktrk
>
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> matplotlib-users List Signup and Options
>
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------------------------------------------------------------------------------
October Webinars: Code for Performance
Free Intel webinars can help you accelerate application performance.
Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from
the latest Intel processors and coprocessors. See abstracts and register >
http://pubads.g.doubleclick.net/gampad/clk?id=60134071&iu=/4140/ostg.clktrk_______________________________________________
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