Re: [Matplotlib-users] AttributeError: 'BarContainer' object has no attribute 'autoscale_None'

[Sterling S. <sm...@fu...>]

Nils,

Here is a version that runs through.  It produces two different versions of your graph: one with the colors corresponding to the index of the arrays, the other with the colors corresponding to the value of the histogram.  I hope this helps.

-Sterling

{{{
import re
import os
import sys
import gzip
import numpy as np
import matplotlib.pyplot as plt
import glob
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.colors as colors
import matplotlib.cm as cmx

efratio = np.loadtxt('efratio-10.dat.gz')
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

coolwarm = cm =  plt.get_cmap('coolwarm')
values = range(100)
for normed in [values,hist]:
    cNorm  = colors.Normalize(vmin=0, vmax=max(normed))
    scalarMap = cmx.ScalarMappable(norm=cNorm, cmap=coolwarm)
    colours = []
    for value in normed:
        colorVal = scalarMap.to_rgba(value)
        colours.append(colorVal)

    fig = plt.figure()
    ax  = fig.add_subplot(111,projection='3d')
    heatmap = ax.bar(center, hist, zs=1, zdir='y', align = 'center', width = width,color=colours,linewidth=0)
    scalarMap.set_array(normed)
    plt.colorbar(scalarMap,ax=ax)
    plt.show()
}}}
On Oct 14, 2013, at 6:12AM, Nils Wagner wrote:

> Here is a self contained version.
> 
> Nils
> 
> 
> 
> 
> On Fri, Oct 11, 2013 at 4:33 PM, Sterling Smith <sm...@fu...> wrote:
> 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 <ef...@ha...> 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
> > > Mat...@li...
> > > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> > >
> >
> >
> > ------------------------------------------------------------------------------
> > 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
> > Mat...@li...
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >
> > ------------------------------------------------------------------------------
> > 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
> > Mat...@li...
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 
> 
> <efratio-9.dat.gz><test.py>