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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Hi Ben,

Thank you for your quick reply. That did the trick! I will into
ax.label_outer() , thanks for the suggestion.

- Alexa



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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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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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