matplotlib-users Mailing List for matplotlib

On Wed, 02 Jun 2010 06:54:11 -1000, Eric Firing wrote:
> On 06/02/2010 05:53 AM, Jae-Joon Lee wrote:
>> On Wed, Jun 2, 2010 at 10:42 AM, Denis Laxalde wrote:
>>> This is set in axis3d module (class Axis), by _AXINFO.
>>> So far, I haven't found a way to modify colors/transparency but to edit
>>> the latter file. Is this hard-coded or is there a way to modify this a
>>> posteriori ?
>>
>> You can simply modify that dictionary.
>
>
> ...with the caution that you are modifying a private 
> implementation-dependent variable, so your code is more likely to break 
> with future versions of mplot3d, and with no deprecation or other 
> warning, than if you could stick to methods and attributes without the 
> leading underscore.

That would indeed be a better approach. Can somebody points me to the
particular methods/attributes to look at ?

Thanks in advance,

    Denis

On 06/02/2010 05:53 AM, Jae-Joon Lee wrote:
> On Wed, Jun 2, 2010 at 10:42 AM, Denis Laxalde<dla...@gm...>  wrote:
>> This is set in axis3d module (class Axis), by _AXINFO.
>> So far, I haven't found a way to modify colors/transparency but to edit
>> the latter file. Is this hard-coded or is there a way to modify this a
>> posteriori ?
>>
>> Cheers,
>>
>>     Denis
>>
>
> You can simply modify that dictionary.


...with the caution that you are modifying a private 
implementation-dependent variable, so your code is more likely to break 
with future versions of mplot3d, and with no deprecation or other 
warning, than if you could stick to methods and attributes without the 
leading underscore.

Eric

> To have different colors for different axes, define _AXINFO in the
> instance level as below.
>
>
> from mpl_toolkits.mplot3d import axes3d, axis3d
> import matplotlib.pyplot as plt
> import numpy as np
>
>
> fig = plt.figure()
> ax = axes3d.Axes3D(fig)
>
> myAXINFO = {
>      'x': {'i': 0, 'tickdir': 1, 'juggled': (1, 0, 2),
>            'color': (0.55, 0.95, 0.95, 0.5, 0.2)},
>      'y': {'i': 1, 'tickdir': 0, 'juggled': (0, 1, 2),
>            'color': (0.50, 0.90, 0.90, 0.5, 0.8)},
>      'z': {'i': 2, 'tickdir': 0, 'juggled': (0, 2, 1),
>            'color': (0.525, 0.925, 0.925, 0.5, 0.5)},
>      }
>
>
> ax.w_xaxis._AXINFO = myAXINFO
> ax.w_yaxis._AXINFO = myAXINFO
> ax.w_zaxis._AXINFO = myAXINFO
>
> # to change the global behavior
> # axis3d.Axis._AXINFO.update(myAXINFO)
>
> plt.show()
>
> ------------------------------------------------------------------------------
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

On Wed, Jun 2, 2010 at 10:42 AM, Denis Laxalde <dla...@gm...> wrote:
> This is set in axis3d module (class Axis), by _AXINFO.
> So far, I haven't found a way to modify colors/transparency but to edit
> the latter file. Is this hard-coded or is there a way to modify this a
> posteriori ?
>
> Cheers,
>
>    Denis
>

You can simply modify that dictionary.
To have different colors for different axes, define _AXINFO in the
instance level as below.


from mpl_toolkits.mplot3d import axes3d, axis3d
import matplotlib.pyplot as plt
import numpy as np


fig = plt.figure()
ax = axes3d.Axes3D(fig)

myAXINFO = {
    'x': {'i': 0, 'tickdir': 1, 'juggled': (1, 0, 2),
          'color': (0.55, 0.95, 0.95, 0.5, 0.2)},
    'y': {'i': 1, 'tickdir': 0, 'juggled': (0, 1, 2),
          'color': (0.50, 0.90, 0.90, 0.5, 0.8)},
    'z': {'i': 2, 'tickdir': 0, 'juggled': (0, 2, 1),
          'color': (0.525, 0.925, 0.925, 0.5, 0.5)},
    }


ax.w_xaxis._AXINFO = myAXINFO
ax.w_yaxis._AXINFO = myAXINFO
ax.w_zaxis._AXINFO = myAXINFO

# to change the global behavior
# axis3d.Axis._AXINFO.update(myAXINFO)

plt.show()

Thanks alot, Alan, Angus, Ben, Eric and Malte, for the tips and the varieties.  Matplotlib is awesome!

Howard Sun, Ph.D.
NVIDIA CORP.
2701 San Tomas Expressway
Santa Clara, CA 95050
T (408) 566-5036
F (408) 486-8207

-----Original Message-----
From: Eric Firing [mailto:ef...@ha...] 
Sent: Tuesday, June 01, 2010 7:07 PM
To: mat...@li...
Subject: Re: [Matplotlib-users] multiple lines

On 06/01/2010 02:47 PM, Benjamin Root wrote:
> Howard,
>
> Are you trying to plot 4 lines with the same y-axis or with two or more
> y-axes?  I only ask because the values of your 5th column are many
> orders of magnitude smaller than the values of the other ys.
>
> If you want multiple y-axes on the same plot, then you might want to
> look at Parasite Axes.  If not, then you can very simply plot this like
> so (assuming that 'data' is a 2-D numpy array).
>
> import matplotlib.pyplot as plt
>
> plt.plot(data[:, 0], data[:, 1])
> plt.plot(data[:, 0], data[:, 2])
> plt.plot(data[:, 0], data[:, 3])
> plt.plot(data[:, 0], data[:, 4])
>
> plt.show()
>
> I am sure that my 4 plot statements can be simplified, but I can't
> verify that right now.

import numpy as np
import matplotlib.pyplot as plt

x =  np.arange(2, 5, 0.3)
y = np.random.randn(len(x), 4) # dummy data for illustration
plt.plot(x, y)


So with the data array as above, it would be

plt.plot(data[:,0], data[:, 1:])

Eric

>
> I hope that helps.
>
> Ben Root

------------------------------------------------------------------------------

_______________________________________________
Matplotlib-users mailing list
Mat...@li...
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
-----------------------------------------------------------------------------------
This email message is for the sole use of the intended recipient(s) and may contain
confidential information.  Any unauthorized review, use, disclosure or distribution
is prohibited.  If you are not the intended recipient, please contact the sender by
reply email and destroy all copies of the original message.
-----------------------------------------------------------------------------------

Dear all,

I'm trying to set the font for math elements in my plots to 'Arial' when
saving my plot to an eps. For all other text in plots, I set
##
matplotlib.rcParams['font.sans-serif']=["Arial"]
##
and it worked. My default rcparams for mathtext look like this:

 'mathtext.bf': 'serif:bold',
 'mathtext.cal': 'cursive',
 'mathtext.default': 'it',
 'mathtext.fallback_to_cm': True,
 'mathtext.fontset': 'cm',
 'mathtext.it': 'serif:italic',
 'mathtext.rm': 'serif',
 'mathtext.sf': 'sans\\-serif',
 'mathtext.tt': 'monospace',

I do not quite understand all these parameters and could not find it out
in the ocumentation. 
Is there an easy way to ensure that all text (normal and mathtext) I put
in my plots appear in Arial?
If not, is at least the font of mathtext embedded into the eps?

Hope I made my problem clear,
thanks in advance,
Hannes

This is set in axis3d module (class Axis), by _AXINFO.
So far, I haven't found a way to modify colors/transparency but to edit
the latter file. Is this hard-coded or is there a way to modify this a
posteriori ?

Cheers,

    Denis

Le 02-06-2010, Benjamin Root <ben...@ou...> a
écrit :
> Huh, how about that?  I never noticed that before.  I wonder if that
> is a bug or if it is intentional?
>
> Ben Root
>
> On Tue, Jun 1, 2010 at 5:28 PM, Denis Laxalde
> <dla...@gm...> wrote:
>
>> Hi Ben,
>>
>> Thanks for your answer.  Actually, options for savefig seem to only
>> operate on 2D axes whereas I'm trying to change the color of 3D axes
>> (x,y,z) which, by default, have a grid with a gray background.  I
>> manage to remove the grid lines but not the background color.  (My
>> initial question was not very clear perhaps...)
>>
>>    Denis
>>
>>
>> Le mardi 01 juin 2010 =E0 16:57 -0500, Benjamin Root a =E9crit :
>> > Denis,
>> >
>> > There are probably other ways, but the one that I know off the top
>> > of m=
> y
>> > head is done at the savefig() function.  If you want to remove the
>> > background entirely, you can specify the keyword argument
>> transparent=3DTrue.
>> > You can change the color using the facecolor keyword argument.  You
>> > can specify any color in that argument like you would elsewhere in
>> matplotlib.
>> >
>> > Ben Root
>> >
>> > On Tue, Jun 1, 2010 at 4:42 PM, Denis Laxalde
>> > <dla...@gm...>
>> wrote:
>> >
>> > > Hi,
>> > >
>> > > Is there a way to change (and maybe remove) the background color
>> > > (gra=
> y
>> > > by default) of axis in mplot3d graphics ?
>> > >
>> > > Thanks,
>> > >
>> > >  Denis
>> > >
>>

Thanks Jae-Joon and Friedrich

I will try out both solutions.

Regards Hans



Jae-Joon Lee wrote:
> 
> On Tue, Jun 1, 2010 at 2:22 PM, rugspin <pie...@we...> wrote:
>> That's doing it, thought there might be an internal way within
>> matplotlib,
>> but I could figure one.
> 
> If you need more hard-core way of doing this,
> 
> a = np.arange(16384).reshape(128, 128)
> 
> from matplotlib.colors import Normalize
> import matplotlib.cm as cm
> norm = Normalize(vmin=0, vmax=16383)
> cmap = cm.summer
> 
> A = (cmap(norm(a))*255).astype(np.uint8)
> 
> import Image
> pilim = Image.fromarray(A, "RGBA")
> 
> ------------------------------------------------------------------------------
> 
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 
> 

-- 
View this message in context: http://old.nabble.com/imshow%2C-imsave-to-PIL-image-conversion-tp28736246p28753655.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Will do, thanks.

Ben Root

On Tue, Jun 1, 2010 at 5:26 PM, Jae-Joon Lee <lee...@gm...> wrote:

>  this is supposed to be explained in
>
> http://matplotlib.sourceforge.net/trunk-docs/users/gridspec.html
>
> But the trunk documentation is failed to build at this moment.
>
> In short, in the svn version of matplotlib, axes_grid is divided into
> two separate modules, axes_grid1 and axisartist (axes_grid is provided
> for backward compatibility).
> Please see the above link when it is back online.
>
> Regards,
>
> -JJ
>
>
> On Tue, Jun 1, 2010 at 5:34 PM, Benjamin Root <ben...@ou...> wrote:
> > Hello,
> >
> > Does anybody know what is the difference between mpl_toolkit.axes_grid
> and
> > mpl_toolkit.axes_grid1?
> >
> > Thanks,
> > Ben Root
> >
> >
> ------------------------------------------------------------------------------
> >
> >
> > _______________________________________________
> > Matplotlib-users mailing list
> > Mat...@li...
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >
> >
>

Huh, how about that?  I never noticed that before.  I wonder if that is a
bug or if it is intentional?

Ben Root

On Tue, Jun 1, 2010 at 5:28 PM, Denis Laxalde <dla...@gm...> wrote:

> Hi Ben,
>
> Thanks for your answer.
> Actually, options for savefig seem to only operate on 2D axes whereas
> I'm trying to change the color of 3D axes (x,y,z) which, by default,
> have a grid with a gray background.
> I manage to remove the grid lines but not the background color.
> (My initial question was not very clear perhaps...)
>
>    Denis
>
>
> Le mardi 01 juin 2010 à 16:57 -0500, Benjamin Root a écrit :
> > Denis,
> >
> > There are probably other ways, but the one that I know off the top of my
> > head is done at the savefig() function.  If you want to remove the
> > background entirely, you can specify the keyword argument
> transparent=True.
> > You can change the color using the facecolor keyword argument.  You can
> > specify any color in that argument like you would elsewhere in
> matplotlib.
> >
> > Ben Root
> >
> > On Tue, Jun 1, 2010 at 4:42 PM, Denis Laxalde <dla...@gm...>
> wrote:
> >
> > > Hi,
> > >
> > > Is there a way to change (and maybe remove) the background color (gray
> > > by default) of axis in mplot3d graphics ?
> > >
> > > Thanks,
> > >
> > >  Denis
> > >
>

Malte,

You may want to look into Numpy's genfromtxt() or loadtxt() functions.  They
will make your life so much easier for loading data from a text file.

Ben Root

On Tue, Jun 1, 2010 at 6:47 PM, Malte Dik <mal...@we...> wrote:

> Howard Sun <hs...@nv...>
> > Sorry for the newbie question, how do you plot one x with multiple ys. In
> > below data, x column is followed by 5 y columns: Many thanks!
> > Howard
> >
> > 2 1.0000e+00 6.6232e-02 9.9392e-03 2.2992e-02 3.8111e-07
> > 3 6.3664e-01 1.0269e-01 7.9107e-03 1.8254e-02 1.1391e-07
> > 4 2.7590e-01 4.9783e-02 6.2644e-03 1.0943e-02 5.8480e-08
> > 5 1.6550e-01 2.3269e-02 4.7482e-03 8.4312e-03 5.8239e-08
> > 6 1.1590e-01 1.7234e-02 3.8567e-03 8.7010e-03 4.5506e-08
> > 7 7.4337e-02 1.1662e-02 3.3756e-03 8.0889e-03 4.0900e-08
> > 8 5.7775e-02 1.0917e-02 2.8980e-03 6.9654e-03 3.7520e-08
> > 9 4.7310e-02 1.1869e-02 2.5929e-03 5.8326e-03 3.4745e-08
> > 10 3.9591e-02 1.1301e-02 2.4691e-03 5.2749e-03 3.2126e-08
> > 11 3.6517e-02 1.0755e-02 2.3121e-03 4.8631e-03 3.7942e-08
> > 12 3.2872e-02 9.8306e-03 2.1692e-03 4.6281e-03 3.2358e-08
> > 13 3.1235e-02 9.1704e-03 2.0419e-03 4.3928e-03 3.1479e-08
> > 14 2.9528e-02 8.6926e-03 1.9364e-03 4.1360e-03 3.5639e-08
> > 15 2.7895e-02 8.3080e-03 1.8475e-03 3.9015e-03 3.0486e-08
> > 16 2.6440e-02 7.9610e-03 1.7776e-03 3.6790e-03 3.0307e-08
> > 17 2.5259e-02 7.6345e-03 1.6984e-03 3.4743e-03 3.1805e-08
> > 18 2.4064e-02 7.3267e-03 1.6341e-03 3.2848e-03 3.0188e-08
> > 19 2.3171e-02 7.0284e-03 1.5821e-03 3.1098e-03 2.7565e-08
> > 20 2.2317e-02 6.7322e-03 1.5247e-03 2.9475e-03 2.7009e-08
>
>
> First, you take the data apart, like in:
>
> import csv, numpy
>
> # let's call your array "filecopy"
>
> d = csv.Sniffer().sniff(filecopy[0])
>
> for this_one_line in csv.reader(filecopy, d):
>        header = this_one_line
>        break
>
> data = numpy.zeros((len(header), len(filecopy)))
>
> for line in csv.reader(filecopy[1:], d):
>        for n in range(len(header)):
>            data[n][linecounter] = float(line[n])
>        linecounter += 1
>
>

On 06/01/2010 02:47 PM, Benjamin Root wrote:
> Howard,
>
> Are you trying to plot 4 lines with the same y-axis or with two or more
> y-axes?  I only ask because the values of your 5th column are many
> orders of magnitude smaller than the values of the other ys.
>
> If you want multiple y-axes on the same plot, then you might want to
> look at Parasite Axes.  If not, then you can very simply plot this like
> so (assuming that 'data' is a 2-D numpy array).
>
> import matplotlib.pyplot as plt
>
> plt.plot(data[:, 0], data[:, 1])
> plt.plot(data[:, 0], data[:, 2])
> plt.plot(data[:, 0], data[:, 3])
> plt.plot(data[:, 0], data[:, 4])
>
> plt.show()
>
> I am sure that my 4 plot statements can be simplified, but I can't
> verify that right now.

import numpy as np
import matplotlib.pyplot as plt

x =  np.arange(2, 5, 0.3)
y = np.random.randn(len(x), 4) # dummy data for illustration
plt.plot(x, y)


So with the data array as above, it would be

plt.plot(data[:,0], data[:, 1:])

Eric

>
> I hope that helps.
>
> Ben Root

Howard,

Are you trying to plot 4 lines with the same y-axis or with two or more
y-axes?  I only ask because the values of your 5th column are many orders of
magnitude smaller than the values of the other ys.

If you want multiple y-axes on the same plot, then you might want to look at
Parasite Axes.  If not, then you can very simply plot this like so (assuming
that 'data' is a 2-D numpy array).

import matplotlib.pyplot as plt

plt.plot(data[:, 0], data[:, 1])
plt.plot(data[:, 0], data[:, 2])
plt.plot(data[:, 0], data[:, 3])
plt.plot(data[:, 0], data[:, 4])

plt.show()

I am sure that my 4 plot statements can be simplified, but I can't verify
that right now.

I hope that helps.

Ben Root

On Tue, Jun 1, 2010 at 6:05 PM, Howard Sun <hs...@nv...> wrote:

> Sorry for the newbie question, how do you plot one x with multiple ys. In
> below data, x column is followed by 5 y columns:
> Many thanks!
> Howard
>
> 2 1.0000e+00 6.6232e-02 9.9392e-03 2.2992e-02 3.8111e-07
> 3 6.3664e-01 1.0269e-01 7.9107e-03 1.8254e-02 1.1391e-07
> 4 2.7590e-01 4.9783e-02 6.2644e-03 1.0943e-02 5.8480e-08
> 5 1.6550e-01 2.3269e-02 4.7482e-03 8.4312e-03 5.8239e-08
> 6 1.1590e-01 1.7234e-02 3.8567e-03 8.7010e-03 4.5506e-08
> 7 7.4337e-02 1.1662e-02 3.3756e-03 8.0889e-03 4.0900e-08
> 8 5.7775e-02 1.0917e-02 2.8980e-03 6.9654e-03 3.7520e-08
> 9 4.7310e-02 1.1869e-02 2.5929e-03 5.8326e-03 3.4745e-08
> 10 3.9591e-02 1.1301e-02 2.4691e-03 5.2749e-03 3.2126e-08
> 11 3.6517e-02 1.0755e-02 2.3121e-03 4.8631e-03 3.7942e-08
> 12 3.2872e-02 9.8306e-03 2.1692e-03 4.6281e-03 3.2358e-08
> 13 3.1235e-02 9.1704e-03 2.0419e-03 4.3928e-03 3.1479e-08
> 14 2.9528e-02 8.6926e-03 1.9364e-03 4.1360e-03 3.5639e-08
> 15 2.7895e-02 8.3080e-03 1.8475e-03 3.9015e-03 3.0486e-08
> 16 2.6440e-02 7.9610e-03 1.7776e-03 3.6790e-03 3.0307e-08
> 17 2.5259e-02 7.6345e-03 1.6984e-03 3.4743e-03 3.1805e-08
> 18 2.4064e-02 7.3267e-03 1.6341e-03 3.2848e-03 3.0188e-08
> 19 2.3171e-02 7.0284e-03 1.5821e-03 3.1098e-03 2.7565e-08
> 20 2.2317e-02 6.7322e-03 1.5247e-03 2.9475e-03 2.7009e-08
>
>
> -----------------------------------------------------------------------------------
> This email message is for the sole use of the intended recipient(s) and may
> contain
> confidential information.  Any unauthorized review, use, disclosure or
> distribution
> is prohibited.  If you are not the intended recipient, please contact the
> sender by
> reply email and destroy all copies of the original message.
>
> -----------------------------------------------------------------------------------
>
> ------------------------------------------------------------------------------
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>