Hi guys,
I have a problem with the "set_array" function. In a example from the
matplotlib homepage this works fine, but when I tries to adaot to my needs,
the image just stays the same. No Update, but also no error messages:
see On Timer function --> the plot is just created during the start but
Hi,
I have a textfile where every second a line is written. Usually the look
like this:
1; 124; 455
a second later
1; 124; 455
2; 104; 600
...
Finally such a file is quite easy to plot using matplotlib. But what would
be very useful for me is a script, that is watching the TXT file and
update
Hi,
I use the followng function for my application:
def OnSaveAs(self, event):
dlg = wx.FileDialog(self, 'Choose a Filename', os.getcwd(), '',
'*.png*', wx.SAVE | wx.OVERWRITE_PROMPT)
if dlg.ShowModal() == wx.ID_OK:
savename = dlg.GetPath()
self.page_graph.figure.s
self.toolbar.Realize()
self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
self.toolbar.Show()
self.SetSizer(self.sizer)
self.Fit()
...
--
Dr. Sebastian Rhode
Grünwalder Str. 103a
81547 München
Tel: +49 89 4703091
Mobil: +49 15122810945
Hi,
I would like to show an image using the imshow function. Thsi is quite
trivial, but what I acn not figure out so far, is how to display the image
without any interpolation. For my application it is useful to really see the
individaul pixel and the borders between them. Setting interpolation=No
Hi,
has anyone a good idea how to interactively display the xy coordintes (as
whole numbers) and the pixel intensity using the mouse cursor. Here is the
code snippet:
...
fig = plt.figure()
ax1 = fig.add_subplot(111)
channel_select = 1
p = imread(filename) # normally I use TIFF file
if (p.ndim >
as soon as I check the check item, the graph is not updated
right away
If I select show405 first, I see nothing, but if I open a dataset afterwards
with openls, both graphs are shown. So the graph from show405 must be
somewhere ...
Thanks for your help.
Cheers,
Sebi
---
x)
ex = normspec_filter(ex)
self.gex, = self.axes.plot(ex[:,0],ex[:,1],'b', lw=2,label =
mypathex)
#self.axes.plot(ex[:,0],ex[:,1],'b', lw=2,label = mypathex)
self.axes.axis([xmin,xmax,ymin,ymax])
self.axes.legend(l
good ides how to achieve this?
Cheers,
Sebi
--
Dr. Sebastian Rhode
Grünwalder Str. 103a
81547 München
Tel: +49 89 4703091
sebrh...@googlemail.com
--
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