Re: [Matplotlib-users] Axes 3d scatter

2014-09-22 Thread Benjamin Root
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.gabrielebrambi...@gmail.com> wrote: > 1.3.1 > > I'm using Anaconda...do you know if do a package exist of Anaconda with > 1.4.0? > > thanks > > Gabriele >

Re: [Matplotlib-users] Axes 3d scatter

2014-09-22 Thread Gabriele Brambilla
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 : > quite likely. To know for sure, run the following in the command-line: > > python -c "import matplotlib; print matplotlib.__version__" > > > On Mo

Re: [Matplotlib-users] Axes 3d scatter

2014-09-22 Thread Benjamin Root
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.gabrielebrambi...@gmail.com> wrote: > If it returns this means that I have an older version? > > Traceback

Re: [Matplotlib-users] Axes 3d scatter

2014-09-22 Thread Gabriele Brambilla
If it returns this means that I have an older version? Traceback (most recent call last): File "dataMODEL.py", line 99, in 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",

Re: [Matplotlib-users] Axes 3d scatter

2014-09-22 Thread Benjamin Root
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.gabrielebrambi...@gmail.com> wrote:

[Matplotlib-users] Axes 3d scatter

2014-09-22 Thread Gabriele Brambilla
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'