matplotlib-users Mailing List for matplotlib

Hi guys,
Im new in matplotlib and having some hard times. From the user point of view
everything works fine.
I have a window with a button. Pressing the button a new window pops showing
the plot. After play
with it i click at X to close this window. And click at X again to close the
window with the button.
BUT im not dropped back to a free prompt. The main window is locked and
still running in background.
Here goes the important parts of code:
import matplotlib
import matplotlib.pyplot as Plt
from matplotlib.figure import Figure
class MainPanel(wx.Panel):
 def __init__(self, parent): #=None
 wx.Panel.__init__(self, parent)
 .... wxpython stuff goes here....
 self.btn1.Bind(wx.EVT_BUTTON, self.cplot)
 ....
 def cplot(self, event):
 self.new = NewWindow(self)
 self.new.cidplot(self)
 self.new.Show()
 return
class NewWindow(wx.Frame):
 def __init__(self,event):
 wx.Frame.__init__(self, None, -1, 'Plot', size=(556, 618))
 wx.Frame.CenterOnScreen(self)
 self.Bind(wx.EVT_CLOSE, self.OnClose)
 def OnClose(self,event):
 self.Destroy()
 def cidplot(self,event):
 self.fig = Figure()
 
 self.axes = self.fig.add_subplot(111)
 self.canvas = FigCanvas(self, -1, self.fig)
 self.axes.set_ylabel("Parts")
 self.axes.set_ylim(0,100)
 self.axes.grid(True)
 ....more axes settings...
 bars = self.axes.bar(left=self.ii, height=self.tt, width=0.2,
align='center', alpha=0.8)
 ....
 self.canvas.draw()
 Plt.savefig("Parts.pdf", dpi=300)
class MainFrame(wx.Frame):
 def __init__(self):
 wx.Frame.__init__(self, None, title = "System Test")
 self.SetSize((556, 618))
 panel = MainPanel(self)
 self.Show()
if __name__ == "__main__":
 app = wx.App(False)
 frame = MainFrame()
 app.MainLoop()
I think the problem is at self.fig = Figure() (Same happens if i use
Plt.figure())
Im doing something wrong when i create a new window or is at my matplotlib
part?
Some better way to do it?
Thanks in advance. Any ideia is welcome.
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View this message in context: http://matplotlib.1069221.n5.nabble.com/After-close-the-plot-window-the-process-keeps-running-tp40919.html
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Hi Ben,
Thank you for your quick reply. That did the trick! I will into
ax.label_outer() , thanks for the suggestion.
- Alexa
--
View this message in context: http://matplotlib.1069221.n5.nabble.com/Trouble-with-x-axis-labeling-tp40916p40918.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

On Wed, Apr 17, 2013 at 11:54 AM, Alexa <ale...@gm...> wrote:
> Hello All!
>
> I searched for my problem and while I found similar questions this seemed
> to
> be a unique problem.
>
> I am creating an image that is six vertically stacked subplots and I want
> only the axis of the bottom subplot to be labelled. However, as you can see
> from the image I attached it's picking the wrong subplot to label. It's as
> if the program is not understanding that there is one more plot. If I just
> plot five plots than everything works. I'm not sure what is going wrong
> with
> me code. It would be extremely helpful if someone could take a look.
>
> xlabel = ["",5000,5500,6000,6500,7000,""]
> plt.figure()
>
> night = (glob.glob('*_sci.txt'))
> for i in range(0,len(night)):
> # Read in data for each night
> wave = np.loadtxt(night[i], usecols=[0])
> flux = np.loadtxt(night[i], usecols=[1])
> # Create subplots
> temp = 610 +i
> spect = plt.subplot(temp,sharex=True)
> # Draw plot
> plt.plot(wave, flux, color="green")
> plt.subplots_adjust(hspace = 0.001)
> spect.set_autoscaley_on(False)
> pylab.ylim([0,0.5e-13])
> # Make y tick makers
> temp = tic.MaxNLocator(3)
> plt.gca().yaxis.set_major_locator(tic.MaxNLocator(prune='lower'))
> plt.gca().yaxis.set_major_locator(tic.MaxNLocator(prune='upper'))
> spect.yaxis.set_major_locator(temp)
> # Get rid of redundant x tick labels
> if i < len(night)-1:
> plt.setp(spect.get_xticklabels(), visible=False)
>
>
> spect.set_xticklabels(xlabel, minor=False)
> plt.xlabel("Observed Wavelength $(\AA)$",fontsize=16)
>
>
> <http://matplotlib.1069221.n5.nabble.com/file/n40916/Example.png>
>
>
>
plt.subplot() uses 1-based indexing. So, the first plot you make is "610"
because i == 0 in the first iteration. This corresponds to the *last"
subplot you actually want (i.e., the bottom one). If you just have a 611 +
i, the problem would be fixed. Btw, there is an ax.label_outer() function
that would make the code easier to read.
Ben Root

Hello All!
I searched for my problem and while I found similar questions this seemed to
be a unique problem.
I am creating an image that is six vertically stacked subplots and I want
only the axis of the bottom subplot to be labelled. However, as you can see
from the image I attached it's picking the wrong subplot to label. It's as
if the program is not understanding that there is one more plot. If I just
plot five plots than everything works. I'm not sure what is going wrong with
me code. It would be extremely helpful if someone could take a look.
xlabel = ["",5000,5500,6000,6500,7000,""]
plt.figure()
night = (glob.glob('*_sci.txt'))
for i in range(0,len(night)):
 # Read in data for each night
 wave = np.loadtxt(night[i], usecols=[0])
 flux = np.loadtxt(night[i], usecols=[1])
 # Create subplots
 temp = 610 +i 
 spect = plt.subplot(temp,sharex=True)
 # Draw plot
 plt.plot(wave, flux, color="green")
 plt.subplots_adjust(hspace = 0.001)
 spect.set_autoscaley_on(False) 
 pylab.ylim([0,0.5e-13])
 # Make y tick makers 
 temp = tic.MaxNLocator(3)
 plt.gca().yaxis.set_major_locator(tic.MaxNLocator(prune='lower'))
 plt.gca().yaxis.set_major_locator(tic.MaxNLocator(prune='upper'))
 spect.yaxis.set_major_locator(temp)
 # Get rid of redundant x tick labels
 if i < len(night)-1:
 plt.setp(spect.get_xticklabels(), visible=False)
spect.set_xticklabels(xlabel, minor=False)
plt.xlabel("Observed Wavelength $(\AA)$",fontsize=16)
<http://matplotlib.1069221.n5.nabble.com/file/n40916/Example.png> 
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View this message in context: http://matplotlib.1069221.n5.nabble.com/Trouble-with-x-axis-labeling-tp40916.html
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The anchored_artists needs improvements and things are still opaque.
For now you can do something like below,
```
a = AnchoredSizeBar(ax.transData, 0.1, "test",
 loc=8, pad=0.1, borderpad=0.1, sep=2, prop=None,
 frameon=False)
rect = a.size_bar._children[0]
rect.set_ec("g")
```
`rect` is a patch instance responsible for the bar. By default its height
is 0 and facecolor="none".
Similarly, the text label can be accessed via `a.txt_label._text`.
Regards,
-JJ
On Wed, Apr 17, 2013 at 1:47 AM, Mathew Topper <mat...@ed...>wrote:
> Hi,
>
> Is there anyway to set the color of an AnchoredSizeBar artist from the
> mpl_toolkits.axes_grid.anchored_artists toolkit?
>
> Thanks,
>
> Mat
> --
> Dr. Mathew Topper
> Institute for Energy Systems
> School of Engineering
> The University of Edinburgh
> Faraday Building
> The King’s Buildings
> Edinburgh EH9 3JL
> Tel: +44 (0)131 650 5570
> School fax: +44 (0)131 650 6554
> mat...@ed... <mailto:mat...@ed...>
> http://www.see.ed.ac.uk <http://www.see.ed.ac.uk/>
>
> The University of Edinburgh is a charitable body, registered in
> Scotland, with registration number SC005336.
>
>
>
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