On 3 July 2011 10:33, Wang Jun <daxi...@gmail.com> 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, matplotlib-users-requ...@lists.sourceforge.net 写道:
>>
>> On 1 July 2011 14:35, Francois Lemery<francois.lem...@gmail.com>  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

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