matplotlib-users Mailing List for matplotlib

Lewis, Ambrose J. wrote:
> Hi All:
> 
> I’m using the following code to create and display an image with a 
> colorbar.  Later on, I read data from a file and update the image.  
> 
> How do I refresh the colorbar to match this new data?  Uncommenting the 
> line in my “ReadFromFile” call below generates a new colorbar.  I’d just 
> like to replace the existing one to match the new data.
> 
> I’m using Python 2.5.2, wx 2.8.7.1, and Matplotlib 0.98.5.2 on win32.
> 
> THANXS
> 
> amb
> 
>  
> 
>     
> #################################################################################################
> 
>     def SetupPlot(self):
> 
>         self.figure = Figure()
> 
>         self.axes = self.figure.add_subplot(111)
> 
>         self.canvas = FigureCanvas(self, -1, self.figure)
> 
>         self.data = np.zeros((self.numChans,self.pageSizeSamps))
> 
>         self.myImage = self.axes.imshow(self.data,aspect='auto')
> 
>         self.cbar = 
> self.figure.colorbar(self.myImage,ticks=[0,100],orientation='horizontal')
> 
>         self.sizer.Add(self.canvas,pos=(1,1),span=(1,2))
> 
>         self.add_toolbar() 
> 
>    
>  #################################################################################################
> 
>     def ReadFromFile(self):
> 
>         if self.filename=="":
> 
>             print "pick a file first!"
> 
>         else:
> 
>             # bunch of code to read from file via numpy fromfile lives here…
> 
>             self.image_data = abs(fftshift(data,axes=[0]))
> 
>             self.myImage = 
> self.axes.imshow(self.image_data,aspect='auto',extent=[self.pageOffset,self.pageOffset+self.pageSizeSamps,0,self.numChans])
> 
>             #self.cbar = 
> self.figure.colorbar(self.myImage,orientation='horizontal')
> 
>             self.canvas.draw()

The problem is that you are generating a new mappable, so the old 
colorbar is disconnected from the new image.  I haven't tested with an 
example, but it looks like you should be able to replace the calls in 
ReadFromFile to imshow with method calls on the original image object. 
Try using self.myImage.set_data, self.myImage.set_extent, and 
self.myImage.changed.  The latter will tell the colorbar to update itself.

Eric

Ian Harry wrote:
> Hi all,
>
> Is there any simple way in matplotlib, or in any other python library, to
> make a simple Venn diagram, I want to show three events and their
> intersections? I have tried googling for any hints but didn't find anything.
>
>   

You can use Sage (http://www.sagemath.org or http://sagenb.org)

http://wiki.sagemath.org/interact/misc#AnInteractiveVennDiagram

(scroll down to see the picture; email me off-list if you'd like help in 
setting up an account or installing Sage; you can use Sage as a python 
library).

Even if you don't use Sage and something like the interactive Venn 
diagram listed in the URL gives you relevant code for creating such a 
thing in matplotlib.

Sage uses matplotlib in the background to actually draw the Venn diagram.

Thanks,

Jason

Ian Harry wrote:
> Hi all,
>
> Is there any simple way in matplotlib, or in any other python library, to
> make a simple Venn diagram, I want to show three events and their
> intersections? I have tried googling for any hints but didn't find anything.
>
>   


You can use Sage (http://www.sagemath.org or http://sagenb.org)

http://wiki.sagemath.org/interact/misc#AnInteractiveVennDiagram

(scroll down to see the picture; email me off-list if you'd like help in 
setting up an account or installing Sage; you can use Sage as a python 
library).

Even if you don't use Sage and something like the interactive Venn 
diagram listed in the URL gives you relevant code for creating such a 
thing in matplotlib.

Sage uses matplotlib in the background to actually draw the Venn diagram.

Thanks,

Jason

On Mon, Feb 16, 2009 at 7:22 AM, Manuel Metz <mm...@as...>wrote:

> Attached is a very simple example that shows how to do something similar
> to scatterhist in matplotlib
>
>
That's a nice example.  Are you going to check that into SVN?

Ryan

-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

Lewis, Ambrose J. wrote:
> Hi All:
> 
> I’m using the following code to create and display an image with a 
> colorbar.  Later on, I read data from a file and update the image.  
> 
> How do I refresh the colorbar to match this new data? 

For a colorbar cb I use:

cb.set_clim(vmin=min_value,vmax=max_value)
cb.draw_all()

With this method you have to calculate the minimum and maximum values first.

JLS

Hi All:

I'm using the following code to create and display an image with a
colorbar.  Later on, I read data from a file and update the image.  

How do I refresh the colorbar to match this new data?  Uncommenting the
line in my "ReadFromFile" call below generates a new colorbar.  I'd just
like to replace the existing one to match the new data.

I'm using Python 2.5.2, wx 2.8.7.1, and Matplotlib 0.98.5.2 on win32.

THANXS

amb

 

 
########################################################################
#########################

    def SetupPlot(self):

        self.figure = Figure()

        self.axes = self.figure.add_subplot(111)

        self.canvas = FigureCanvas(self, -1, self.figure)

        self.data = np.zeros((self.numChans,self.pageSizeSamps))

        self.myImage = self.axes.imshow(self.data,aspect='auto')

        self.cbar =
self.figure.colorbar(self.myImage,ticks=[0,100],orientation='horizontal'
)

        self.sizer.Add(self.canvas,pos=(1,1),span=(1,2))

        self.add_toolbar()  

 
########################################################################
#########################

    def ReadFromFile(self):

        if self.filename=="":

            print "pick a file first!"

        else:

            # bunch of code to read from file via numpy fromfile lives
here...

            self.image_data = abs(fftshift(data,axes=[0]))

            self.myImage =
self.axes.imshow(self.image_data,aspect='auto',extent=[self.pageOffset,s
elf.pageOffset+self.pageSizeSamps,0,self.numChans])

            #self.cbar =
self.figure.colorbar(self.myImage,orientation='horizontal')

            self.canvas.draw()

Attached is a very simple example that shows how to do something similar
to scatterhist in matplotlib

Manuel

per freem wrote:
> hello,
> 
> is there a way to make a 2d scatter plot that includes (outside the axes)
> histograms of the marginals of the two variables? like the matlab function
> 'scatterhist'. see this for an example:
> 
> http://www.mathworks.com/access/helpdesk/help/toolbox/stats/index.html?/access/helpdesk/help/toolbox/stats/scatterhist.html
> 
> ideally i'd like the histograms outside the scatter plot to also have axes
> so that the height of each histogram bar will be interpretable.
> i understand that there's no command for this - but how can i construct it?
>  i would not mind writing code to do this... if it's possible.  right now
> this is the only thing keeping me from switching from matlab to matplotlib
> exclusively since i use these graphs a lot
> 
> thank you
> 
> 
> 
> ------------------------------------------------------------------------
> 
> ------------------------------------------------------------------------------
> Open Source Business Conference (OSBC), March 24-25, 2009, San Francisco, CA
> -OSBC tackles the biggest issue in open source: Open Sourcing the Enterprise
> -Strategies to boost innovation and cut costs with open source participation
> -Receive a $600 discount off the registration fee with the source code: SFAD
> http://p.sf.net/sfu/XcvMzF8H
> 
> 
> ------------------------------------------------------------------------
> 
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Hi All:

Thanks to Michael & Ryan, I got my imshow call displaying the correct
data range on the x axis!  

However, when I now use a toolbar to zoom the image, I'm getting a
divide by zero error (see traceback below)

I'm using Python 2.5.2, wx 2.8.7.1, and Matplotlib 0.98.5.2 on win32.

Thanks for your (hopefully) continued patience with these newbie
questions!

amb

 

Here is the call to imshow that I modified:

self.myImage =
self.axes.imshow(self.image_data,aspect='auto',extent=[self.pageOffset,s
elf.pageOffset+self.pageSizeSamps,self.numChans,1])

from:

self.myImage = self.axes.imshow(self.image_data,aspect='auto')

The old version zooms just fine with no error.  This code is called in a
menu event handler

 

Here is how I created the figure & toolbar:

 
########################################################################
#########################

    def SetupPlot(self):

        self.figure = Figure()

        self.axes = self.figure.add_subplot(111)

        self.canvas = FigureCanvas(self, -1, self.figure)

        self.data = np.zeros((self.numChans,self.pageSizeSamps))

        self.myImage = self.axes.imshow(self.data,aspect='auto')

        self.sizer.Add(self.canvas,pos=(1,1))

        self.add_toolbar()  

 

 
########################################################################
#########################

    def add_toolbar(self):

        self.toolbar = NavigationToolbar2Wx(self.canvas)

        self.toolbar.Realize()

        # On Windows platform, default window size is incorrect, so set

        # toolbar width to figure width.

        tw, th = self.toolbar.GetSizeTuple()

        fw, fh = self.canvas.GetSizeTuple()

        # By adding toolbar in sizer, we are able to put it at the
bottom

        # of the frame - so appearance is closer to GTK version.

        # As noted above, doesn't work for Mac.

        self.toolbar.SetSize((fw, th))

        self.sizer.Add(self.toolbar,pos=(2,1))

        # update the axes menu on the toolbar

        self.toolbar.update()

 

Here is the error Traceback:

Traceback (most recent call last):

  File
"C:\Python25\Lib\site-packages\matplotlib\backends\backend_wx.py", line
1

225, in _onLeftButtonUp

    FigureCanvasBase.button_release_event(self, x, y, 1, guiEvent=evt)

  File "C:\Python25\Lib\site-packages\matplotlib\backend_bases.py", line
1198, i

n button_release_event

    self.callbacks.process(s, event)

  File "C:\Python25\Lib\site-packages\matplotlib\cbook.py", line 155, in
process

 

    func(*args, **kwargs)

  File "C:\Python25\Lib\site-packages\matplotlib\backend_bases.py", line
2048, i

n release_zoom

    self.draw()

  File "C:\Python25\Lib\site-packages\matplotlib\backend_bases.py", line
2070, i

n draw

    self.canvas.draw()

  File
"C:\Python25\Lib\site-packages\matplotlib\backends\backend_wxagg.py",
lin

e 60, in draw

    FigureCanvasAgg.draw(self)

  File
"C:\Python25\Lib\site-packages\matplotlib\backends\backend_agg.py", line

279, in draw

    self.figure.draw(self.renderer)

  File "C:\Python25\Lib\site-packages\matplotlib\figure.py", line 772,
in draw

    for a in self.axes: a.draw(renderer)

  File "C:\Python25\Lib\site-packages\matplotlib\axes.py", line 1545, in
draw

    im.draw(renderer)

  File "C:\Python25\Lib\site-packages\matplotlib\image.py", line 233, in
draw

    im = self.make_image(renderer.get_image_magnification())

  File "C:\Python25\Lib\site-packages\matplotlib\image.py", line 220, in
make_im

age

    rx = widthDisplay / numcols

ZeroDivisionError: float division

________________________________

From: mat...@li...
[mailto:mat...@li...] On Behalf Of
Lewis, Ambrose J.
Sent: Saturday, February 14, 2009 7:07 AM
To: mat...@li...
Subject: [Matplotlib-users] x axis & imshow...

 

Thanks Michael & Ryan!
Worked great!
amb


-----Original Message-----
From: Michael Droettboom [mailto:md...@st...]
Sent: Fri 2/13/2009 1:14 PM
To: Lewis, Ambrose J.
Cc: mat...@li...
Subject: Re: [Matplotlib-users] x axis & imshow...

You can pass "extent=(left, right, bottom, top)" to imshow to specify
what the pixels in the array correspond to in data space.

Mike

Lewis, Ambrose J. wrote:
>
> Hi All:
>
> I'm working on a wxPython GUI that uses matplotlib.
>
> This program reads "chunks" of a data file into a numpy array and than
> plots it using imshow.
>
> The first chunk works great. But, when I load chunks 2 to N, how can I
> specify the different values for the labels on the x axis?
>
> I tried using "axes.set_xlim". This did reposition the x axis as
> hoped, but the data is always being drawn back at the "zero" offset.
>
> Is there a way to tell the axis to map the array to a different x
range?
>
> I can't read the whole file at once, it's just too big
>
> THANXS
>
> amb
>
>
------------------------------------------------------------------------
>
>
------------------------------------------------------------------------
------
> Open Source Business Conference (OSBC), March 24-25, 2009, San
Francisco, CA
> -OSBC tackles the biggest issue in open source: Open Sourcing the
Enterprise
> -Strategies to boost innovation and cut costs with open source
participation
> -Receive a $600 discount off the registration fee with the source
code: SFAD
> http://p.sf.net/sfu/XcvMzF8H
>
------------------------------------------------------------------------
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>  

--
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

Hi all,

Is there any simple way in matplotlib, or in any other python library, to
make a simple Venn diagram, I want to show three events and their
intersections? I have tried googling for any hints but didn't find anything.

Thanks for any help!

Ian

-- 
---------------------------------------------------------------------------
Ian Harry
School of Physics & Astronomy
Queens Buildings, The Parade
Cardiff, CF24 3AA
Email: Ian...@as...
Phone: (+44) 29 208 75120
Mobile: (+44) 7890 479090
---------------------------------------------------------------------------

dear list,

can someone tell me why I don't see anything when I run this script?
it is a modified version of the traits example...
I expected to see three plots with one line each...

from enthought.traits.api import HasTraits, Instance, Range, Array,
on_trait_change, Property,cached_property, Bool
from enthought.traits.ui.api import View, Item
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg
from matplotlib.backends.backend_wx import NavigationToolbar2Wx
from matplotlib.figure import Figure
from matplotlib.axes import Axes
from matplotlib.lines import Line2D
from enthought.traits.ui.api import CustomEditor
import wx
import numpy

def MakePlot(parent, editor):
	fig = editor.object.figure
	panel = wx.Panel(parent, -1)
	canvas = FigureCanvasWxAgg(panel, -1, fig)
	toolbar = NavigationToolbar2Wx(canvas)
	toolbar.Realize()
	sizer = wx.BoxSizer(wx.VERTICAL)
	sizer.Add(canvas,1,wx.EXPAND|wx.ALL,1)
	sizer.Add(toolbar,0,wx.EXPAND|wx.ALL,1)
	panel.SetSizer(sizer)
	canvas.SetMinSize((300,600))
	return panel

class PlotModel(HasTraits):

	figure = Instance(Figure, ())
	axes1 = Instance(Axes)
	axes2 = Instance(Axes)
	axes3 = Instance(Axes)
	line1 = Instance(Line2D)
	line2 = Instance(Line2D)
	line3 = Instance(Line2D)
	_draw_pending = Bool(False) #a flag to throttle the redraw rate
	# a variable parameter
	x = Array(value=numpy.arange(1, 31))
	x2 = Array(value=numpy.arange(1, 31))
	x3 = Array(value=numpy.arange(1, 31))
	# a dependent variable
	y = Array(value=numpy.arange(1, 31))
	y2 = Array(value=numpy.arange(1, 31))
	y3 = Array(value=numpy.arange(1, 31))
	
	traits_view = View(
					Item('figure',
						 editor=CustomEditor(MakePlot),
						 resizable=True,
						 show_label=False),
					resizable=False,
					width=400,
					height=750
					)

	def _axes1_default(self):
		return self.figure.add_subplot(311)

	def _axes2_default(self):
		return self.figure.add_subplot(312)

	def _axes3_default(self):
		return self.figure.add_subplot(313)

	def _line1_default(self):
		return self.axes1.plot(self.x, self.y)[0]

	def _line2_default(self):
		return self.axes2.plot(self.x2, self.y2)[0]

	def _line3_default(self):
		return self.axes3.plot(self.x3, self.y3)[0]

	def redraw(self):
		if self._draw_pending:
			return
		canvas = self.figure.canvas
		if canvas is None:
			return
		def _draw():
			canvas.draw()
			self._draw_pending = False
		wx.CallLater(50, _draw).Start()
		self._draw_pending = True

if __name__=="__main__":
	model = PlotModel()
	model.configure_traits(model.redraw())


thank you,
simone