matplotlib-users Mailing List for matplotlib

On Mon, Jun 20, 2011 at 8:13 PM, kafooster <dmo...@gm...> wrote:

>
> Hello,
>
> I am trying to display an array with imshow(), however I want to 'turn off'
> display of axes, numbers, and all that extra stuff which comes with it. I
> want only my array(grayscale image) to be shown
>
> ###########################
>
> import wx
> import matplotlib
> matplotlib.use( 'WXAgg' )
> from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg
> from matplotlib.figure import Figure
>
> class Frame1(wx.Frame):
>   def __init__(self, parent):
>       wx.Frame.__init__(self,None)
>       self.panel1 = wx.Panel(self)
>       self.Add_MPL_Plot()
>
>   def Add_MPL_Plot(self):
>       figure = Figure(None, 80)
>       canvas = FigureCanvasWxAgg(self.panel1, -1, figure)
>       canvas.SetSize(wx.Size(300,300))
>       subplot = figure.add_subplot(111)
>       subplot.imshow(here comes my array)   # i did not included it to code
> for simplicity
>
> if __name__ == '__main__':
>   app = wx.PySimpleApp()
>   frame = Frame1(None)
>   frame.Show()
>
>   app.MainLoop()
>
> #########################
>
> is there a way to do it?
>
>
Sorry for the long delay in responding.

Yes, you can call:

subplot.set_axis_off()
subplot.set_frame_on(False)

to turn all of that "stuff" off.  Although, you will still have a border
around it.  To prevent that, then you will have to create the axes object
directly and set its rect kwarg to [0, 0, 1, 1].


>
> another thing, is it possible to open .png images this way? (since it is
> possible to save stuff plotted with imshow to .png)
>

Yeah, there is a imread() function:

http://matplotlib.sourceforge.net/api/pyplot_api.html?highlight=imread#matplotlib.pyplot.imread

I hope this helps!
Ben Root

Thanks Ian... 
The tricontourf worked perfectly.   I was able to manipulate it further for
my needs, but your sample code saved me... 

Best regards, 
Nader Abedrabbo



Try tricontourf; I've attached an example.  Most of the example code is
manipulating your input data and calculating the connectivity of your grid.

I hope this helps,
Ian Thomas


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Hello all, 

I need help to have customize tick labels using axis artist. 
My problem is to create a grid representation in polar co-ordinates (see fig) with r = logspace(log(1),log(120),128)
and theta = linspace(0.17,2.97,64) # in radians

I managed to to create the proper gridlines. But unfortunately I have to remove the tick labels as the way I describe the grid locator they crowd the axis. 
I would like to choose only certain points on the axis and label them as the plot would look nice. 


Regards
Bhargav Vaidya. 

Here is my code modified to my need from already existing code found in the web :

from matplotlib.transforms import Affine2D
import mpl_toolkits.axisartist.floating_axes as floating_axes

import numpy as np
import  mpl_toolkits.axisartist.angle_helper as angle_helper
from matplotlib.projections import PolarAxes
from mpl_toolkits.axisartist.grid_finder import FixedLocator, MaxNLocator, \
     DictFormatter

def setup_axes2(fig, rect):

    tr = PolarAxes.PolarTransform()

    pi = np.pi
    rad = np.logspace(np.log(1.),np.log(120.),128) # Radial 
    theta = np.linspace(0.17,2.97,64) # Theta Co-ordinates
    angle_ticks = [(0, r"$\frac{1}{2}\pi$"),
                   (.25*pi, r"$\frac{1}{4}\pi$"),
                   (.5*pi, r"$0$"),
                   (-.25*pi, r"$\frac{3}{4}\pi$"),
                   (-0.5*pi, r"$\pi$")]
    grid_locator1 = FixedLocator([j-0.5*pi for j in theta])
    #grid_locator1 = FixedLocator([v for v, s in angle_ticks])
    

    grid_locator2 = FixedLocator([i for i in rad])

    grid_helper = floating_axes.GridHelperCurveLinear(tr,
                                        extremes=(.5*pi-0.17, -.5*pi+0.17, 120, 1),
                                        grid_locator1=grid_locator1,
                                        grid_locator2=grid_locator2,
                                        tick_formatter1=None,
                                        tick_formatter2=None,
                                        )

    ax1 = floating_axes.FloatingSubplot(fig, rect, grid_helper=grid_helper)
    fig.add_subplot(ax1)

    # create a parasite axes whose transData in RA, cz
    aux_ax = ax1.get_aux_axes(tr)

    aux_ax.patch = ax1.patch # for aux_ax to have a clip path as in ax
    ax1.patch.zorder=0.9 # but this has a side effect that the patch is
                        # drawn twice, and possibly over some other
                        # artists. So, we decrease the zorder a bit to
                        # prevent this.

    return ax1, aux_ax
if 1:
    import matplotlib.ticker as mpltick
    import matplotlib.pyplot as plt
    fig = plt.figure(1, figsize=(10, 10))
    

    ax2, aux_ax2 = setup_axes2(fig, 111)
   
  
    ax2.axis["left"].major_ticklabels.set_visible(False)
    ax2.axis["bottom"].major_ticklabels.set_visible(False)
    
    ax2.grid(color='k',linestyle='-',linewidth=0.5)

    plt.show()

Here is the eps file 

Sebastian Berg, on 2011-07-11 18:16,  wrote:
> On Mon, 2011-07-11 at 07:13 -0700, SiggiN wrote:
> > is ther a way to not let the colorbar cut space from the 2nd subplot. I
> > would like to have them both the same size.

yes, you can pass the  cax parameter to colorbar which will put
it inside that axis.

replace your code from line 'plt.figure()' with this:

  f,(ax,ax2,ax3) = plt.subplots(3,1) 
  CS = ax.contourf(X, Y, Z)
  CS = ax2.contourf(X, Y, Z)
  plt.colorbar(CS,cax=ax3,orientation='horizontal')

> What you need to do (I think and I always do it like this)
> Define 3 sets of axes by hand instead of subplot(211) you use
> plt.axes(...) to create them (I guess there may be a nicer
> method, not sure). 

I belive the plt.subplots() command is what Sebastian was
referring to.

best,
-- 
Paul Ivanov
314 address only used for lists,  off-list direct email at:
http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7 

On Mon, Jul 11, 2011 at 11:16 AM, Sebastian Berg <seb...@si...
> wrote:

> Hi,
>
>
> On Mon, 2011-07-11 at 07:13 -0700, SiggiN wrote:
> > Hi all!
> >
> > following code shows the problem I have with placing a colorbar for
> several
> > subplots.
> >
> > #-----------------------------code------------
> > import matplotlib
> > import numpy as np
> > import matplotlib.cm as cm
> > import matplotlib.mlab as mlab
> > import matplotlib.pyplot as plt
> >
> > matplotlib.rcParams['xtick.direction'] = 'out'
> > matplotlib.rcParams['ytick.direction'] = 'out'
> >
> > delta = 0.025
> > x = np.arange(-3.0, 3.0, delta)
> > y = np.arange(-2.0, 2.0, delta)
> > X, Y = np.meshgrid(x, y)
> > Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
> > Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
> > # difference of Gaussians
> > Z = 10.0 * (Z2 - Z1)
> >
> > plt.figure()
> >
> > plt.subplot(211)
> > CS = plt.contourf(X, Y, Z)
> >
> >
> > plt.subplot(212)
> > CS = plt.contourf(X, Y, Z)
> >
> >
> > plt.colorbar(orientation='horizontal')
> > plt.show()
> >
> > #-------------end code--------------
> > result:
> > http://old.nabble.com/file/p32037832/inttest.png
> >
> > is ther a way to not let the colorbar cut space from the 2nd subplot. I
> > would like to have them both the same size.
> >
>
> the subplot command only takes from the last axes as default. What you
> need to do (I think and I always do it like this) Define 3 sets of axes
> by hand instead of subplot(211) you use plt.axes(...) to create them (I
> guess there may be a nicer method, not sure). Then you can pass which
> axes to draw into with the colorbar function.
>
> Regards,
>
> Sebastian
>
>
Personally, I prefer to use the axes_grid toolkit that allows you to specify
if and how you want colorbar axes and provides an array of colorbar axes.
http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/index.html#toolkit-axesgrid-index

Enjoy!
Ben Root

Hi,


On Mon, 2011-07-11 at 07:13 -0700, SiggiN wrote:
> Hi all!
> 
> following code shows the problem I have with placing a colorbar for several
> subplots.
> 
> #-----------------------------code------------
> import matplotlib
> import numpy as np
> import matplotlib.cm as cm
> import matplotlib.mlab as mlab
> import matplotlib.pyplot as plt
> 
> matplotlib.rcParams['xtick.direction'] = 'out'
> matplotlib.rcParams['ytick.direction'] = 'out'
> 
> delta = 0.025
> x = np.arange(-3.0, 3.0, delta)
> y = np.arange(-2.0, 2.0, delta)
> X, Y = np.meshgrid(x, y)
> Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
> Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
> # difference of Gaussians
> Z = 10.0 * (Z2 - Z1)
> 
> plt.figure()
> 
> plt.subplot(211)
> CS = plt.contourf(X, Y, Z)
> 
> 
> plt.subplot(212)
> CS = plt.contourf(X, Y, Z)
> 
> 
> plt.colorbar(orientation='horizontal')
> plt.show()
> 
> #-------------end code--------------
> result:
> http://old.nabble.com/file/p32037832/inttest.png 
> 
> is ther a way to not let the colorbar cut space from the 2nd subplot. I
> would like to have them both the same size.
> 

the subplot command only takes from the last axes as default. What you
need to do (I think and I always do it like this) Define 3 sets of axes
by hand instead of subplot(211) you use plt.axes(...) to create them (I
guess there may be a nicer method, not sure). Then you can pass which
axes to draw into with the colorbar function.

Regards,

Sebastian

Hi all!

following code shows the problem I have with placing a colorbar for several
subplots.

#-----------------------------code------------
import matplotlib
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt

matplotlib.rcParams['xtick.direction'] = 'out'
matplotlib.rcParams['ytick.direction'] = 'out'

delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
# difference of Gaussians
Z = 10.0 * (Z2 - Z1)

plt.figure()

plt.subplot(211)
CS = plt.contourf(X, Y, Z)


plt.subplot(212)
CS = plt.contourf(X, Y, Z)


plt.colorbar(orientation='horizontal')
plt.show()

#-------------end code--------------
result:
http://old.nabble.com/file/p32037832/inttest.png 

is ther a way to not let the colorbar cut space from the 2nd subplot. I
would like to have them both the same size.

Thanks!

Siggi
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There is an open bug filed on this issue, #608932. Specifically, the issue is
that multiple plots in the gallery examples work when run from a Python
prompt, yet the html page that gets generated for the documentation shows
the exception message.

For what it is worth, I submitted the radar chart demo a while back so if
there are chart-specific questions I might be able to help.

Josh


Benjamin Root-2 wrote:
> 
> On Sunday, June 26, 2011, Warren Weckesser
> <war...@en...> wrote:
>>
>>
>> On Sun, Jun 26, 2011 at 7:44 PM, Benjamin Root <ben...@ou...> wrote:
>>
>>
>> On Sunday, June 26, 2011, Carl Karsten <ca...@pe...> wrote:
>>> http://matplotlib.sourceforge.net/examples/api/radar_chart.html
>>>
>>> "Exception occurred rendering plot."
>>>
>>
>> Without more information, we can't help you.  What version of
>> matplotlib are you using? On what OS?  How did you install it?  Do the
>> tests pass?  And which backend?
>>
>>
>> That error is what shows up on the web page when you follow the link.
>>
>> Warren
>>
>>
> 
> Ah, indeed it is.  I apologize for misunderstanding, what is odd is
> that the demo didn't work, but the mpl logo rendered fine.
> 
> Who was it that uploaded the recent rebuild of the docs?
> 
> Ben Root
> 
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