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On 3 July 2011 10:33, Wang Jun <da...@gm...> wrote:
> Hello, Angus!
>
> For this method, if I want to draw a colorbar to indicate the specific
> values
> for the colors, what should I do? the colorbar() in pylab is not waorking
> for
> this case.

Use:

plt.colorbar(ax.collections[0])

after the call to scatter, to get the correct mappable handle.

I hope that helps,

Angus.

>  Thanks,
> Wang Jun
>
> 于 2011/7/3 8:48, mat...@li... 写道:
>>
>> On 1 July 2011 14:35, Francois Lemery<fra...@gm...>  wrote:
>>>
>>> >  Hello,
>>> >
>>> >  I am interested in producing a 4 dimensional plot to represent some
>>> > data.
>>> >
>>> >  I picture this as looking like a normal 3d scatter plot with
>>> > datapoints
>>> >  varying in a color scale which depends on a fourth column of data.
>>> >
>>> >  Could anyone help me with this- I have searched google and the
>>> > matplotlib
>>> >  website and have only found some documentation for a MatLab solution
>>> > bywhich
>>> >  I am not interested.
>>> >
>>> >  Thank you kindly!
>>> >  -Francois
>>
>> How about this?
>>
>> from mpl_toolkits.mplot3d import Axes3D
>> import matplotlib.pyplot as plt
>> import numpy as np
>>
>> fig = plt.figure()
>> ax = fig.add_subplot(111, projection='3d')
>>
>> x = np.random.standard_normal(100)
>> y = np.random.standard_normal(100)
>> z = np.random.standard_normal(100)
>> c = np.random.standard_normal(100)
>>
>> ax.scatter(x, y, z, c=c, cmap=plt.hot())
>> plt.show()
>>
>> Angus.
>> -- AJC McMorland Post-doctoral research fellow Neurobiology, University of
>> Pittsburgh
>
>



-- 
AJC McMorland
Post-doctoral research fellow
Neurobiology, University of Pittsburgh

Hello, Angus!

For this method, if I want to draw a colorbar to indicate the specific 
values
for the colors, what should I do? the colorbar() in pylab is not 
waorking for
this case.

  Thanks,
Wang Jun

于 2011/7/3 8:48, mat...@li... 写道:
> On 1 July 2011 14:35, Francois Lemery<fra...@gm...>  wrote:
>> >  Hello,
>> >
>> >  I am interested in producing a 4 dimensional plot to represent some data.
>> >
>> >  I picture this as looking like a normal 3d scatter plot with datapoints
>> >  varying in a color scale which depends on a fourth column of data.
>> >
>> >  Could anyone help me with this- I have searched google and the matplotlib
>> >  website and have only found some documentation for a MatLab solution bywhich
>> >  I am not interested.
>> >
>> >  Thank you kindly!
>> >  -Francois
> How about this?
>
> from mpl_toolkits.mplot3d import Axes3D
> import matplotlib.pyplot as plt
> import numpy as np
>
> fig = plt.figure()
> ax = fig.add_subplot(111, projection='3d')
>
> x = np.random.standard_normal(100)
> y = np.random.standard_normal(100)
> z = np.random.standard_normal(100)
> c = np.random.standard_normal(100)
>
> ax.scatter(x, y, z, c=c, cmap=plt.hot())
> plt.show()
>
> Angus.
> -- AJC McMorland Post-doctoral research fellow Neurobiology, 
> University of Pittsburgh

Thanks, Ben. I'll install 1.0.1. I'm aware of the situation about Fedora 10.

Regards,
  Jon


Benjamin Root-2 wrote:
> 
> On Fri, Jul 1, 2011 at 10:02 PM, JonBL <jc....@bi...> wrote:
> 
>>
>> I've used Add/Remove Software to install
>> python-matplotlib-0.98.5.2-2.fc10(i386) and
>> python-matplotlib-tk-0.98.5.2-2.fc10(i386) on my fedora 10 box, plus 11
>> dependencies, including Tkinter. Some matplotlib examples, eg
>> pylab_examples
>> Examples/arctest.py works nicely, but many do not as presented.
>>
>> Example api Examples/barchart_demo raises the following traceback when
>> executed as-is:
>>
>> [jon@einstein matplotlib-examples]$ ./barchart.py
>> Traceback (most recent call last):
>>  File "./barchart.py", line 18, in <module>
>>    error_kw=dict(elinewidth=6, ecolor='pink'))
>>  File "/usr/lib/python2.5/site-packages/matplotlib/pyplot.py", line 1656,
>> in bar
>>    ret =  gca().bar(*args, **kwargs)
>>  File "/usr/lib/python2.5/site-packages/matplotlib/axes.py", line 4075,
>> in
>> bar
>>    r.update(kwargs)
>>  File "/usr/lib/python2.5/site-packages/matplotlib/artist.py", line 548,
>> in
>> update
>>    raise AttributeError('Unknown property %s'%k)
>> AttributeError: Unknown property error_kw
>>
>> (I've copied the example code into script barchart.py, and run it from
>> there.)
>>
>> The problem line is:
>>
>> rects1 = plt.bar(ind, menMeans, width,
>>                    color='r',
>>                    yerr=menStd,
>>                    error_kw=dict(elinewidth=6, ecolor='pink'))
>>
>> If I replace this with:
>>
>> rects1 = plt.bar(ind, menMeans, width,
>>                    color='r',
>>                    yerr=menStd)
>>
>> and do the same thing for the rects2 statement, the demonstration then
>> presents the bar chart.
>>
>> The problem seems to lie somewhere with the error_kw arg being passed to
>> method plt.bar. Is there something else I need to do to get the provided
>> examples to work as coded?
>>
>> TIA,
>>  Jon
>>
> 
> Jon,
> 
> The examples on the website are for version 1.0.1, which is a couple of
> years older than version 0.98.  Many examples utilizes new features that
> have since been added to matplotlib.
> 
> Also, as a side note, Fedora 10 has stopped receiving updates of any kind
> about 2 years ago.  This also means security updates.
> 
> Ben Root
> 
> ------------------------------------------------------------------------------
> All of the data generated in your IT infrastructure is seriously valuable.
> Why? It contains a definitive record of application performance, security 
> threats, fraudulent activity, and more. Splunk takes this data and makes 
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