matplotlib-users Mailing List for matplotlib

Dear list,
I would like to display a 2D image in a mplot3d axe in order to combine 
it with a surface3D or a bar3d plot for instance. The effect I am 
looking for is similar to what can be seen in the bottom XY plane of 
http://matplotlib.org/1.4.0/examples/mplot3d/contourf3d_demo2.html, 
except that I would like to have a custom image instead of the filled 
contours.
I googled the subject and found only messages dating at best from 2010. 
These messages mentioned that the imshow() method did not work on a 
mplot3d. Indeed it does not.
The only alternatives offered by the googled answer to my problem were 
to switch to VTK or Mayavi. For one thing, I never managed to install 
VTK on my PC, and I already have other matplotlib figures in my wxpython 
application so I would really like to stick to matplotlib.
Does anyone have pointers as to how I could display a 2D image in 
mplot3d? Do I need to create a new artist in order to replace the 
non-functionning imshow?
I see that patch collections work fine in mplot3D. Would it be feasible 
to load an image and have it displayed as a patch collection (1 patch 
for each pixel)?
Any advice would be highly appreciated,
Fabrice
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On 2014年09月30日, 2:41 AM, Jesper Larsen wrote:
> Hi matplotlib users,
>
> Is it possible to disable antialiasing for a colorbar? If not directly
> is it the possible to "postprocess" the axes instance to se antialiasing
> for relevant elements?
The colorbar returns a Colorbar object, the "solids" attribute of which 
is a Quadmesh; so you should be able to execute
cbar.solids.set_antialiased(False)
to turn off antialiasing. With a bit of testing, however, I am not 
seeing any difference, so I'm not sure what is going on, and I don't 
have time now to investigate.
Eric
>
> The reason I am asking is because I would like to produce a paletted png
> (using PIL) of the colorbar without the risk of removing any important
> colors in the process (in essence the output from matplotlib needs to
> have less than 256 colors for this to work).
>
> Best regards,
> Jesper
>
>
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Hi matplotlib users,
Is it possible to disable antialiasing for a colorbar? If not directly is
it the possible to "postprocess" the axes instance to se antialiasing for
relevant elements?
The reason I am asking is because I would like to produce a paletted png
(using PIL) of the colorbar without the risk of removing any important
colors in the process (in essence the output from matplotlib needs to have
less than 256 colors for this to work).
Best regards,
Jesper

Hello.
Concretly, I have one figure with some plots. I only want to have the
coordinates of the mouse when it is clicked over this figure.
On the other hand, when I click on the button, I have the button event, but
also the mouse one.
Maybe, one solution would be to know that the button has been clicked such
as to ignore mouse event in that case.
C
Le 29 sept. 2014 03:51, "Benjamin Root" <ben...@ou...> a écrit :
> I am sorry, I am not sure that I understand what you are trying to do. Why
> do you want the same action to happen whenever you click the mouse button
> (anywhere in the figure), and whenever you click the mouse button (when you
> are over the button)? The two areas overlap, so it would always trigger the
> action twice when clicking on the button.
>
> Why are you attaching the callback to mouse button clicking when it is
> already attached to the Button?
>
> Ben Root
>
> P.S. - please keep the coverstation on-list.
>
>
> On Sun, Sep 28, 2014 at 5:36 PM, Christophe Bal <pro...@gm...>
> wrote:
>
>> Hello.
>>
>> I want to use both mouse event, that works without the button, and also a
>> button but adding this ones makes the mouse event also working on this
>> button.
>>
>> The problem would be to connect the mouse event only with the first axe.
>> Can I do that ? Sorry but for the moment, I'm a real noob.
>>
>> 2014年09月28日 21:53 GMT+02:00 Benjamin Root <ben...@ou...>:
>>
>>> Does this example help?
>>> http://matplotlib.org/examples/widgets/buttons.html
>>>
>>> With the Button widget, you won't need to do any mpl_connect calls, the
>>> widget takes care of that for you. Also, as a side note, the
>>> "button_press_event" does not refer to the button widgets, it refers to the
>>> mouse button.
>>>
>>> Cheers!
>>> Ben Root
>>>
>>>
>>> On Sat, Sep 27, 2014 at 6:30 PM, Christophe Bal <pro...@gm...>
>>> wrote:
>>>
>>>> Hello.
>>>>
>>>> In the following code, I would like to add two buttons. Is there an
>>>> easy way to do that ?
>>>>
>>>> Christophe
>>>>
>>>>
>>>> ================================
>>>>
>>>> import matplotlib.pyplot as plt
>>>> from matplotlib.widgets import Button
>>>>
>>>> fig = plt.figure()
>>>>
>>>> plt.axes(xlim = (0, 3), ylim = (0, 3))
>>>>
>>>> def onclick(event):
>>>> print(event.xdata, event.ydata)
>>>>
>>>> fig.canvas.mpl_connect('button_press_event', onclick)
>>>>
>>>> plt.show()
>>>>
>>>>
>>>>
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>>>> _______________________________________________
>>>> Matplotlib-users mailing list
>>>> Mat...@li...
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>
>>>>
>>>
>>
>

I am sorry, I am not sure that I understand what you are trying to do. Why
do you want the same action to happen whenever you click the mouse button
(anywhere in the figure), and whenever you click the mouse button (when you
are over the button)? The two areas overlap, so it would always trigger the
action twice when clicking on the button.
Why are you attaching the callback to mouse button clicking when it is
already attached to the Button?
Ben Root
P.S. - please keep the coverstation on-list.
On Sun, Sep 28, 2014 at 5:36 PM, Christophe Bal <pro...@gm...> wrote:
> Hello.
>
> I want to use both mouse event, that works without the button, and also a
> button but adding this ones makes the mouse event also working on this
> button.
>
> The problem would be to connect the mouse event only with the first axe.
> Can I do that ? Sorry but for the moment, I'm a real noob.
>
> 2014年09月28日 21:53 GMT+02:00 Benjamin Root <ben...@ou...>:
>
>> Does this example help?
>> http://matplotlib.org/examples/widgets/buttons.html
>>
>> With the Button widget, you won't need to do any mpl_connect calls, the
>> widget takes care of that for you. Also, as a side note, the
>> "button_press_event" does not refer to the button widgets, it refers to the
>> mouse button.
>>
>> Cheers!
>> Ben Root
>>
>>
>> On Sat, Sep 27, 2014 at 6:30 PM, Christophe Bal <pro...@gm...>
>> wrote:
>>
>>> Hello.
>>>
>>> In the following code, I would like to add two buttons. Is there an easy
>>> way to do that ?
>>>
>>> Christophe
>>>
>>>
>>> ================================
>>>
>>> import matplotlib.pyplot as plt
>>> from matplotlib.widgets import Button
>>>
>>> fig = plt.figure()
>>>
>>> plt.axes(xlim = (0, 3), ylim = (0, 3))
>>>
>>> def onclick(event):
>>> print(event.xdata, event.ydata)
>>>
>>> fig.canvas.mpl_connect('button_press_event', onclick)
>>>
>>> plt.show()
>>>
>>>
>>>
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>>> _______________________________________________
>>> Matplotlib-users mailing list
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>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>>
>

Does this example help?
http://matplotlib.org/examples/widgets/buttons.html
With the Button widget, you won't need to do any mpl_connect calls, the
widget takes care of that for you. Also, as a side note, the
"button_press_event" does not refer to the button widgets, it refers to the
mouse button.
Cheers!
Ben Root
On Sat, Sep 27, 2014 at 6:30 PM, Christophe Bal <pro...@gm...> wrote:
> Hello.
>
> In the following code, I would like to add two buttons. Is there an easy
> way to do that ?
>
> Christophe
>
>
> ================================
>
> import matplotlib.pyplot as plt
> from matplotlib.widgets import Button
>
> fig = plt.figure()
>
> plt.axes(xlim = (0, 3), ylim = (0, 3))
>
> def onclick(event):
> print(event.xdata, event.ydata)
>
> fig.canvas.mpl_connect('button_press_event', onclick)
>
> plt.show()
>
>
>
> ------------------------------------------------------------------------------
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> Matplotlib-users mailing list
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>
>

Hello.
In the following code, I would like to add two buttons. Is there an easy
way to do that ?
Christophe
================================
import matplotlib.pyplot as plt
from matplotlib.widgets import Button
fig = plt.figure()
plt.axes(xlim = (0, 3), ylim = (0, 3))
def onclick(event):
 print(event.xdata, event.ydata)
fig.canvas.mpl_connect('button_press_event', onclick)
plt.show()

Now in Nature as well:
http://www.nature.com/news/how-to-dodge-the-pitfalls-of-bad-illustrations-1.15999
Nicolas
> 
> Hi all,
> 
> I'm very pleased to announce the publication of a paper I've written with Michael Droettboom and Philip E. Bourne.
> 
> Ten Simple Rules for Better Figures
> Nicolas P. Rougier, Michael Droettboom, Philip E. Bourne
> PLOS Computational Biology
> URL: http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003833
> 
> 
> All the figures have been made using matplotlib and sources are available from:
> 
> https://github.com/rougier/ten-rules
> 
> We even managed to use the XKCD filter !
> Thanks a lot for this great library.
> 

This appears to be an ipython issue as you stated that you could load
basemap normally. I would suggest asking this question on the ipython
mailing list. Also, as an aside, you will generally get faster responses if
you actually include information in your question. Links rot over time, and
so the discussion and the original question become disconnected. I can't
tell you how many times I have been frustrated by being unable to find
useful information from a mailing list posting 5 years ago because part of
the answer was up on a geocities posting or something.
Cheers!
Ben Root
On Mon, Sep 22, 2014 at 10:53 PM, sachidanand gowda <mav...@gm...>
wrote:
> Hi all,
>
> I am stuck with getting basemap up and running
>
> http://stackoverflow.com/questions/25985808/error-importing-basemap-keyerror-dap
>
> kindly look at the error i have posted on stackoverflow and let me know
> what are the next set of steps that i need to follow
>
> Thanks,
> Sachi
>
>
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> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

hi, all
following is a simple plot. however, if I turn on xkcd(), the legend
shows Chinese as "??". I think this is because the Chinese characters
can not be found in a western font.
Is there a way to fix this?
thanks
[code begin]
#coding=utf-8
import math
from pylab import *
x=range(0, int(2*math.pi*1000))
x=[i/1000.0 for i in x]
y1=[math.sin(i) for i in x]
xkcd()
p=plot(x, y1)
legend(p, [u'sin曲线'])
rcParams['font.sans-serif'] = ['SimHei'] #set the default font to a
Chinese Font
#show()
savefig('%s.png' % __file__)

Hello, 
I was currently looking into the new plot directive Sphinx extension that comes with matplotlib. 
My purpose is to use it for documentation of examples for my source code. 
However, I wish to just have html figure links only to PNG and Hires PNG files 
and no link for the PDF files. 
I looked into the plot_directive.py and saw that the plot_formats are set to have default value of 
[‘png’, ‘hires.png’, ‘pdf’] which can not be configured , at least I was not able to do the same. 
Can any one suggest if I can choose the plot formats whose link I would like to show when 
I use the plot directive Sphinx Extension. 
Are there any plans to make the "plot formats" configurable ?
Regards
Bhargav. 

https://github.com/matplotlib/matplotlib/issues/3562
On Wed, Sep 24, 2014 at 6:17 PM, Adam Hughes <hug...@gm...> wrote:
> Agreed. I will do so, thanks. If you are able to figure it out, I would
> be super grateful. I must have spend 5 hours beating my head over this...
>
> I'll fill it out tonight.
>
> On Wed, Sep 24, 2014 at 9:07 PM, Benjamin Root <ben...@ou...> wrote:
>
>> I always wonder why people go through such lengths to implement such
>> features, but never bother to offer them back into the mainline code or at
>> least suggest such a feature. Think you could make a feature request for
>> this on github? I bet I could figure out how to integrate it into the mesh
>> code without the need for any hacks if I spend a free moment on it.
>>
>> Ben Root
>>
>> On Wed, Sep 24, 2014 at 8:43 PM, Adam Hughes <hug...@gm...>
>> wrote:
>>
>>> Hi,
>>>
>>> I'm following up on an answered stack overflow thread:
>>>
>>>
>>> http://stackoverflow.com/questions/24909256/how-to-obtain-3d-colored-surface-via-python/26026556#26026556
>>>
>>> They show how to create a colormap for a wireframe plot. I noticed that
>>> this solution fails when the X and Y data are not the same shape. This
>>> inherently comes down to _segments3d being a 3 dimensional array when X, Y
>>> are the same dimension, but a 1D array when X,Y are different dimensions.
>>>
>>> So for example, a set of 10 curves, each with 100 points would have the
>>> dimensions:
>>>
>>> X ---> 10
>>> Y ---> 100
>>> Z ----> 10 x 100
>>>
>>> I've tried hacking on this all day and just can't get a solution to
>>> bypass the numpy ravels() and rolls()!
>>>
>>> Any ideas?
>>>
>>> Thanks
>>>
>>>
>>> ------------------------------------------------------------------------------
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>>> _______________________________________________
>>> Matplotlib-users mailing list
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>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>>
>

Agreed. I will do so, thanks. If you are able to figure it out, I would
be super grateful. I must have spend 5 hours beating my head over this...
I'll fill it out tonight.
On Wed, Sep 24, 2014 at 9:07 PM, Benjamin Root <ben...@ou...> wrote:
> I always wonder why people go through such lengths to implement such
> features, but never bother to offer them back into the mainline code or at
> least suggest such a feature. Think you could make a feature request for
> this on github? I bet I could figure out how to integrate it into the mesh
> code without the need for any hacks if I spend a free moment on it.
>
> Ben Root
>
> On Wed, Sep 24, 2014 at 8:43 PM, Adam Hughes <hug...@gm...>
> wrote:
>
>> Hi,
>>
>> I'm following up on an answered stack overflow thread:
>>
>>
>> http://stackoverflow.com/questions/24909256/how-to-obtain-3d-colored-surface-via-python/26026556#26026556
>>
>> They show how to create a colormap for a wireframe plot. I noticed that
>> this solution fails when the X and Y data are not the same shape. This
>> inherently comes down to _segments3d being a 3 dimensional array when X, Y
>> are the same dimension, but a 1D array when X,Y are different dimensions.
>>
>> So for example, a set of 10 curves, each with 100 points would have the
>> dimensions:
>>
>> X ---> 10
>> Y ---> 100
>> Z ----> 10 x 100
>>
>> I've tried hacking on this all day and just can't get a solution to
>> bypass the numpy ravels() and rolls()!
>>
>> Any ideas?
>>
>> Thanks
>>
>>
>> ------------------------------------------------------------------------------
>> Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer
>> Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports
>> Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper
>> Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer
>>
>> http://pubads.g.doubleclick.net/gampad/clk?id=154622311&iu=/4140/ostg.clktrk
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>

Awesome, thanks!
On Wed, Sep 24, 2014 at 9:12 PM, Benjamin Root <ben...@ou...> wrote:
> Could always ask it its name:
>
> >>> import matplotlib.pyplot as plt
> >>> from mpl_toolkits.mplot3d import Axes3D
> >>> fig, ax = plt.subplots(1, 1, subplot_kw=dict(projection='3d'))
> >>> ax.name
> '3d'
>
>
> You can do this with any axes type, such as polar axes and such.
>
> Cheers!
> Ben Root
>
>
> On Tue, Sep 23, 2014 at 3:26 PM, Adam Hughes <hug...@gm...>
> wrote:
>
>> Hello,
>>
>> Is it possible to inspect an AxesSubplot object and infer if it is using
>> a 3d projection or not? Couldn't figure it out directly from the API.
>>
>> Thanks
>>
>>
>> ------------------------------------------------------------------------------
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>>
>> http://pubads.g.doubleclick.net/gampad/clk?id=154622311&iu=/4140/ostg.clktrk
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>

Could always ask it its name:
>>> import matplotlib.pyplot as plt
>>> from mpl_toolkits.mplot3d import Axes3D
>>> fig, ax = plt.subplots(1, 1, subplot_kw=dict(projection='3d'))
>>> ax.name
'3d'
You can do this with any axes type, such as polar axes and such.
Cheers!
Ben Root
On Tue, Sep 23, 2014 at 3:26 PM, Adam Hughes <hug...@gm...> wrote:
> Hello,
>
> Is it possible to inspect an AxesSubplot object and infer if it is using a
> 3d projection or not? Couldn't figure it out directly from the API.
>
> Thanks
>
>
> ------------------------------------------------------------------------------
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> Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports
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>
>

I always wonder why people go through such lengths to implement such
features, but never bother to offer them back into the mainline code or at
least suggest such a feature. Think you could make a feature request for
this on github? I bet I could figure out how to integrate it into the mesh
code without the need for any hacks if I spend a free moment on it.
Ben Root
On Wed, Sep 24, 2014 at 8:43 PM, Adam Hughes <hug...@gm...> wrote:
> Hi,
>
> I'm following up on an answered stack overflow thread:
>
>
> http://stackoverflow.com/questions/24909256/how-to-obtain-3d-colored-surface-via-python/26026556#26026556
>
> They show how to create a colormap for a wireframe plot. I noticed that
> this solution fails when the X and Y data are not the same shape. This
> inherently comes down to _segments3d being a 3 dimensional array when X, Y
> are the same dimension, but a 1D array when X,Y are different dimensions.
>
> So for example, a set of 10 curves, each with 100 points would have the
> dimensions:
>
> X ---> 10
> Y ---> 100
> Z ----> 10 x 100
>
> I've tried hacking on this all day and just can't get a solution to bypass
> the numpy ravels() and rolls()!
>
> Any ideas?
>
> Thanks
>
>
> ------------------------------------------------------------------------------
> Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer
> Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports
> Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper
> Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer
>
> http://pubads.g.doubleclick.net/gampad/clk?id=154622311&iu=/4140/ostg.clktrk
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Hi,
I'm following up on an answered stack overflow thread:
http://stackoverflow.com/questions/24909256/how-to-obtain-3d-colored-surface-via-python/26026556#26026556
They show how to create a colormap for a wireframe plot. I noticed that
this solution fails when the X and Y data are not the same shape. This
inherently comes down to _segments3d being a 3 dimensional array when X, Y
are the same dimension, but a 1D array when X,Y are different dimensions.
So for example, a set of 10 curves, each with 100 points would have the
dimensions:
X ---> 10
Y ---> 100
Z ----> 10 x 100
I've tried hacking on this all day and just can't get a solution to bypass
the numpy ravels() and rolls()!
Any ideas?
Thanks

Not at this time, no. There are two reasons for this. First, an Artist
object can only be attached to a single Axes object at any given time.
Right now, it isn't really possible to "transfer" an Artist from one Axes
to another (not impossible, but it certainly isn't a built-in mechanism).
The other problem is in the design of mplot3d. It almost completely
bypasses the transforms system and uses duck-punching (trademark
pending...) to get things working.
I have a private branch at home where I am working on augmenting the
transforms system to accept 3d projections and simple 3d transforms, but I
haven't managed to get it working and I haven't any time for the next few
months to work on it any further. The hope is that once I have that in
place, I can reimplement mplot3d to use first-class Artists and Axes
without any duck-punching. The removal of duck-punching would make what you
want to do more possible (not easy, but feasible). But that is probably not
for another year unfortunately.
My suggestion is to simply extract the relevant data from each artist and
create brand new artists on the fly in the 3d axes instead. Depending on
the complexity of the plot, it might require some tree-traversal, but if
you already have a list of all of the relevant plot elements, then that
should be fairly simple.
I hope this helps. Sorry for the negatory on simple transfers.
Cheers!
Ben Root
On Wed, Sep 24, 2014 at 12:59 PM, Adam Hughes <hug...@gm...>
wrote:
> Hi,
>
> Sorry for all of these left-field questions. We are trying to develop
> some custom functionality for a spectroscopy program...
>
> Given a 3d surface plot, matplotlib makes it easy to add contours along
> the projections of the plot.
>
>
> http://matplotlib.org/1.3.1/mpl_toolkits/mplot3d/tutorial.html#d-plots-in-3d
>
> We were wondering if it was possible to add other things to the
> projections instead of contours? For example, imagine I have a standard x
> vs. y plot already created in a separate Axes object. Would it be possible
> to transfer the data from the x vs. y plot directly onto the projection of
> the 3d plot? We've found that sometimes it's useful to put projections on
> our 3d plots that aren't necessarily reflecting the 3d-dataset per-se. It
> would be nice if a user could generate plots 2d plots separately, and add
> them as projections later.
>
> I know this is a pretty special use case, so if nothing obvious comes to
> mind, no problem.
>
> Thanks
>
>
> ------------------------------------------------------------------------------
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Hi,
Sorry for all of these left-field questions. We are trying to develop some
custom functionality for a spectroscopy program...
Given a 3d surface plot, matplotlib makes it easy to add contours along the
projections of the plot.
http://matplotlib.org/1.3.1/mpl_toolkits/mplot3d/tutorial.html#d-plots-in-3d
We were wondering if it was possible to add other things to the projections
instead of contours? For example, imagine I have a standard x vs. y plot
already created in a separate Axes object. Would it be possible to
transfer the data from the x vs. y plot directly onto the projection of the
3d plot? We've found that sometimes it's useful to put projections on our
3d plots that aren't necessarily reflecting the 3d-dataset per-se. It
would be nice if a user could generate plots 2d plots separately, and add
them as projections later.
I know this is a pretty special use case, so if nothing obvious comes to
mind, no problem.
Thanks

Hello,
Is it possible to inspect an AxesSubplot object and infer if it is using a
3d projection or not? Couldn't figure it out directly from the API.
Thanks

On 23/09/14 13:51, Daniele Nicolodi wrote:
> The effect is that the plot title, legend, and tick mark labels are
> correctly rendered in Helvetica Light, while axis labels are rendered in
> Helvetica Regular.
> 
> I'm I missing something or there is a problem in matplotlib for which
> the weight font attribute is not respected for axis labels?
I was indeed missing a couple of options in matplotlibrc:
 axes.labelweight : light
 axes.titleweight : light
however, it is quite confusing that tick labels and legend are affected
by the text.weight setting while other parts of the plot are not. I'm
wondering if something could be done about it...
Cheers,
Daniele

Hello,
I would like to create PDFs of plot using the Helvetica font in the
Light variant. In my old Mac OS X installation I somehow achieved this,
I don't remember exactly how, but probably with an ugly hack that
involved making matplotlib aware only of this variant of the font. In my
new Mac OS X install I would like to solve this more properly.
I have Mac OS X 10.9 and I installed matplotlib 1.3.1 via Mac Ports.
I also installed "fondu" to and I converted the Helvetica.dfont bundle
into TTF fonts that I places into the mpl-data folder. I deleted the
matplotlib font cache file and modified my matplotlibrc configuration
file like this:
 font.family: sans-serif
 font.sans-serif: Helvetica
 font.weight: light
The effect is that the plot title, legend, and tick mark labels are
correctly rendered in Helvetica Light, while axis labels are rendered in
Helvetica Regular.
I'm I missing something or there is a problem in matplotlib for which
the weight font attribute is not respected for axis labels?
Thanks. Cheers,
Daniele

Hi all,
I am stuck with getting basemap up and running
http://stackoverflow.com/questions/25985808/error-importing-basemap-keyerror-dap
kindly look at the error i have posted on stackoverflow and let me know
what are the next set of steps that i need to follow
Thanks,
Sachi

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年09月22日 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年09月22日 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
>>>>>
>>>>>
>>>>> ------------------------------------------------------------------------------
>>>>> Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer
>>>>> Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS
>>>>> Reports
>>>>> Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper
>>>>> Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer
>>>>>
>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154622311&iu=/4140/ostg.clktrk
>>>>> _______________________________________________
>>>>> Matplotlib-users mailing list
>>>>> Mat...@li...
>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>
>>>>>
>>>>
>>>
>>
>

1.3.1
I'm using Anaconda...do you know if do a package exist of Anaconda with
1.4.0?
thanks
Gabriele
2014年09月22日 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年09月22日 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
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>> Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer
>>>> Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports
>>>> Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper
>>>> Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer
>>>>
>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154622311&iu=/4140/ostg.clktrk
>>>> _______________________________________________
>>>> Matplotlib-users mailing list
>>>> Mat...@li...
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>
>>>>
>>>
>>
>