matplotlib-users Mailing List for matplotlib

Thomas Caswell wrote:
> winreg looks like it is for programmatic access to the windows registry which mpl uses to find fonts in windows (https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/font_manager.py#L173).
>
>
> I suspect this is a problem with pychecker being too enthusiastic about checking imports.

FYI:

+*six-1.9.0-r1 (06 May 2015)
+
+  06 May 2015; Justin Lecher <jl...@ge...> +files/six-1.9.0-winreg.patch,
+  +six-1.9.0-r1.ebuild, metadata.xml, six-9999.ebuild:
+  Backport fix for windows only modules, bug #547928
+

https://bugs.gentoo.org/show_bug.cgi?id=547928

>
>
> Tom
>
>
> On Tue, Apr 28, 2015, 08:14 Martin MOKREJŠ <mmo...@gm... <mailto:mmo...@gm...>> wrote:
>
>     Hi Thomas,
>         thank you for your thoughts. But numpy is installed:
>
>     $ python
>     Python 2.7.9 (default, Apr 10 2015, 16:21:10)
>     [GCC 4.9.2] on linux2
>     Type "help", "copyright", "credits" or "license" for more information.
>      >>> import pylab
>      >>> import numpy
>      >>>
>
>     Probably you are right that the warnings (reported only by pychecker) are coming from numpy. They appear with *either* of:
>
>     import pylab
>     import numpy
>     import matplotlib
>
>
>     But, what I really asked for was where does the _winreg come from? It happens only with any of "import pylab" or "import matplotlib".
>
>     Martin
>
>     Thomas Caswell wrote:
>      > Those look like they are coming up out of numpy.  I am not familiar with gentoo, but it looks like numpy is not in the dependencies list.
>      >
>      > Tom
>      >
>      >
>      > On Mon, Apr 27, 2015, 16:59 Martin MOKREJŠ <mmo...@gm... <mailto:mmo...@gm...> <mailto:mmo...@gm... <mailto:mmo...@gm...>>> wrote:
>      >
>      >     Hi,
>      >         I use dev-python/matplotlib-1.4.3 and I suspect this is a recent regression in it. Can anybody reproduce this?
>      >
>      >     $ pychecker test.py
>      >     Processing module test (test.py)...
>      >     warning: couldn't find real module for class <class 'fftpack.error'> (module name: fftpack)
>      >     warning: couldn't find real module for class <class 'lapack_lite.LapackError'> (module name: lapack_lite)
>      >     warning: couldn't find real module for class <type 'mtrand.RandomState'> (module name: mtrand)
>      >     warning: couldn't find real module for class <type 'mtrand.RandomState'> (module name: mtrand)
>      >         ImportError: No module named _winreg
>      >     warning: couldn't find real module for class <type 'cntr.Cntr'> (module name: cntr)
>      >
>      >     Warnings...
>      >
>      >     test.py:3: Imported module (pylab) not used
>      >     $ cat test.py
>      >     #! /usr/bin/python
>      >
>      >     import pylab
>      >     $

Dear Eric,

Thanks for your nice answer. Exactly what I need.

Best regards,
Jiacong Huang



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On 2015/05/05 6:03 PM, GoogleWind wrote:
> Dear all,
>
> Matplotlib currently support the visuliaztion of triangular mesh and
> square-cell map. Is there any solutions to support the visulization of
> orthogonal grid as follows,
> <http://matplotlib.1069221.n5.nabble.com/file/n45473/%E6%8D%95%E8%8E%B7.png>

Does pcolormesh do what you need?
http://matplotlib.org/examples/pylab_examples/quadmesh_demo.html
http://matplotlib.org/api/pyplot_api.html?highlight=pcolormesh#matplotlib.pyplot.pcolormesh

Eric

>
> Thanks in advances for your hints.
>
> Best regards,
> Jiacong Huang
> ---------------------------------------------------------------------------------------
> Nanjing Institute of Geography & Limnology
> Chinese Academy of Sciences
> 73 East Beijing Road, Nanjing 210008, China
> Tel./Fax: +86-25-86882127
> Homepage: http://www.escience.cn/people/elake/index.html
>
>
>
>
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>
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Hi.
  I am using matplotlib to plot a wireframe over a 3D list data I have.

X = [2.06, 2.07, 2.14, 2.09, 2.2, 2.05, 1.92, 2.06, 2.11, 2.07, 2.15, 2.29,
2.06, 2.09, 2.19, 2.19, 2.26, 2.15,      2.15, 2.06, 2.29, 2.27, 2.46, 2.2,
2.01, 2.11, 2.03, 2.1, 2.17, 2.1]
Y = [171.82, 170.8, 159.59, 164.28, 169.98, 162.23, 167.37, 173.81, 166.66,
155.13, 156.56, 156.78, 158.15, 163.31, 150.97, 133.91, 142.36, 152.48,
138.6, 153.88, 155.13, 146.09, 147.84, 167.9, 161.82, 168.39, 163.73,
164.03, 169.33, 159.42]
Z = [-1.41173660883, -1.26977354468, -1.07436015752, -1.07522326036,
-1.46114949754, -0.955999769503, -0.0826570511052, -1.25171489428,
-1.2005961876, -0.862264432276, -1.27266152624, -1.55152901892,
-0.939999658603, -1.2470594709, 0.40793102312, -1.5375122067,
-1.02404937182, -1.38113558714, -0.842054259969, -0.908694881796,
-1.57965851609, -1.35631827259, -2.0568110654, -0.783657274668,
-0.329844805297, -1.37033049146, -0.853410578988, -1.47048937914,
-1.65570962873, -1.21419612238]

I am trying to plot it using:

`
        *data = np.c_[cumualtive_dist,cumulative_ang,cumulative_energ]
        
        # regular grid covering the domain of the data...
        mn = np.min(data, axis=0)
        mx = np.max(data, axis=0)
        X,Y = np.meshgrid(np.linspace(mn[0], mx[0], 50), np.linspace(mn[1],
mx[1], 50)) 
        XX = X.flatten()
        YY = Y.flatten()
    
        # best-fit quadratic curve
        A = np.c_[np.ones(data.shape[0]), data[:,:2], np.prod(data[:,:2],
axis=1), data[:,:2]**2]
        C,_,_,_ = scipy.linalg.lstsq(A, data[:,2])
    
        # evaluate it on a grid
        Z = np.dot(np.c_[np.ones(XX.shape), XX, YY, XX*YY, XX**2, YY**2],
C).reshape(X.shape)
    
        # Plot scatter-points and fitted 3D surface
        #-----------------------------------------
        fig3 = plt.figure(figsize=(10,6))
        ax3 = fig3.gca(projection='3d')
        surf = ax3.plot_surface(X, Y, Z, rstride=1, cstride=1, alpha=0.5,
cmap=cm.jet)
        
        #Adding a color-bar...
        fig3.colorbar(surf, shrink=0.6, aspect=6)
        #ax3.plot_wireframe(X, Y, Z, rstride=1, cstride=1, alpha=0.4)
        ax3.scatter(data[:,0], data[:,1], data[:,2], c='r', s=5)

        ax3.set_zlim3d(-5, 5)       #Limiting Z-axis...         *
`
This code is giving a plot looks like(shown below):
<http://matplotlib.1069221.n5.nabble.com/file/n45474/figure_3.png> 

But I was looking for a fitted-graph somewhat-looks like(however not
exactly) this: 
<http://matplotlib.1069221.n5.nabble.com/file/n45474/wire3d_demo1.png> 

I mean the stretching-of-thread appearance w.r.t. distribution of points,
I'm not being able to get such things in mine. 



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Dear all,

Matplotlib currently support the visuliaztion of triangular mesh and
square-cell map. Is there any solutions to support the visulization of
orthogonal grid as follows,
<http://matplotlib.1069221.n5.nabble.com/file/n45473/%E6%8D%95%E8%8E%B7.png> 

Thanks in advances for your hints.

Best regards,
Jiacong Huang
---------------------------------------------------------------------------------------
Nanjing Institute of Geography & Limnology
Chinese Academy of Sciences
73 East Beijing Road, Nanjing 210008, China
Tel./Fax: +86-25-86882127
Homepage: http://www.escience.cn/people/elake/index.html




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