Re: [Matplotlib-users] Axes 3d scatter

yes, you should be able to do "conda update matplotlib" or something to
that effect.

On Mon, Sep 22, 2014 at 3:24 PM, Gabriele Brambilla <
gb....@gm...> wrote:

> 1.3.1
>
> I'm using Anaconda...do you know if do a package exist of Anaconda with
> 1.4.0?
>
> thanks
>
> Gabriele
>
>
>
> 2014-09-22 17:47 GMT+02:00 Benjamin Root <ben...@ou...>:
>
>> quite likely. To know for sure, run the following in the command-line:
>>
>> python -c "import matplotlib; print matplotlib.__version__"
>>
>>
>> On Mon, Sep 22, 2014 at 11:42 AM, Gabriele Brambilla <
>> gb....@gm...> wrote:
>>
>>> If it returns this means that I have an older version?
>>>
>>> Traceback (most recent call last):
>>>   File "dataMODEL.py", line 99, in <module>
>>>     ax.scatter(np.log10(NP), np.log10(NB*10**12), np.log10(NL), c='b',
>>> marker='o
>>> ', depthshade=False)
>>>   File "C:\Anaconda\lib\site-packages\mpl_toolkits\mplot3d\axes3d.py",
>>> line 2180
>>> , in scatter
>>>     patches = Axes.scatter(self, xs, ys, s=s, c=c, *args, **kwargs)
>>>   File "C:\Anaconda\lib\site-packages\matplotlib\axes.py", line 6312, in
>>> scatter
>>>
>>>     collection.update(kwargs)
>>>   File "C:\Anaconda\lib\site-packages\matplotlib\artist.py", line 739,
>>> in update
>>>
>>>     raise AttributeError('Unknown property %s' % k)
>>> AttributeError: Unknown property depthshade
>>>
>>>
>>> 2014-09-22 17:27 GMT+02:00 Benjamin Root <ben...@ou...>:
>>>
>>>> As of version 1.4.0, the 3d scatter plotting function gained the
>>>> "depthshade" argument that you can set to false.
>>>>
>>>> http://matplotlib.org/mpl_toolkits/mplot3d/tutorial.html#scatter-plots
>>>>
>>>> Cheers!
>>>> Ben Root
>>>>
>>>> On Mon, Sep 22, 2014 at 11:18 AM, Gabriele Brambilla <
>>>> gb....@gm...> wrote:
>>>>
>>>>> Hi I'm trying to use a 3d scatter plot.
>>>>>
>>>>> import matplotlib.pyplot as plt
>>>>> from mpl_toolkits.mplot3d import Axes3D
>>>>> import matplotlib.pyplot as plt
>>>>> from matplotlib import cm
>>>>>
>>>>> fig = plt.figure()
>>>>> ax = fig.add_subplot(111, projection='3d')
>>>>> ax.scatter(np.log10(NP), np.log10(NB*10**12), np.log10(NL), c='k')
>>>>> ax.scatter(np.log10(NPd), np.log10(NBd), np.log10(NLd), c='b')
>>>>>
>>>>> I would like that the dots that appear are all of the same color not
>>>>> in shades of black ('k') or shades of blue ('b') but I don't know how to do
>>>>> it.
>>>>>
>>>>> thanks
>>>>>
>>>>> Gabriele
>>>>>
>>>>>
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>>>>>
>>>>
>>>
>>
>