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I tried the simple example, but all examples I try choke on savefig ('blah.pdf')
This is fedora20 linux, with pretty modern, complete texlive.

I tried rm'ing tex-cache

---------------- example.py
# -*- coding: utf-8 -*-

import matplotlib as mpl
mpl.use("pgf")
pgf_with_rc_fonts = {
    "font.family": "serif",
    "font.serif": [],                   # use latex default serif font
    "font.sans-serif": ["DejaVu Sans"], # use a specific sans-serif font
}
mpl.rcParams.update(pgf_with_rc_fonts)

import matplotlib.pyplot as plt
plt.figure(figsize=(4.5,2.5))
plt.plot(range(5))
plt.text(0.5, 3., "serif")
plt.text(0.5, 2., "monospace", family="monospace")
plt.text(2.5, 2., "sans-serif", family="sans-serif")
plt.text(2.5, 1., "comic sans", family="Comic Sans MS")
plt.xlabel(u"µ is not $\\mu$")
plt.tight_layout(.5)
----------------------

python testpgf.py 
/usr/lib64/python2.7/site-packages/matplotlib/__init__.py:758: UserWarning: 
Found matplotlib configuration in ~/.matplotlib/. To conform with the XDG base 
directory standard, this configuration location has been deprecated on Linux, 
and the new location is now '/home/nbecker/.config'/matplotlib/. Please move 
your configuration there to ensure that matplotlib will continue to find it in 
the future.
  _get_xdg_config_dir())
Traceback (most recent call last):
  File "testpgf.py", line 20, in <module>
    plt.tight_layout(.5)
  File "/usr/lib64/python2.7/site-packages/matplotlib/pyplot.py", line 1255, in 
tight_layout
    fig.tight_layout(pad=pad, h_pad=h_pad, w_pad=w_pad, rect=rect)
  File "/usr/lib64/python2.7/site-packages/matplotlib/figure.py", line 1600, in 
tight_layout
    renderer = get_renderer(self)
  File "/usr/lib64/python2.7/site-packages/matplotlib/tight_layout.py", line 
222, in get_renderer
    renderer = canvas.get_renderer()
  File "/usr/lib64/python2.7/site-packages/matplotlib/backends/backend_pgf.py", 
line 925, in get_renderer
    return RendererPgf(self.figure, None, dummy=True)
  File "/usr/lib64/python2.7/site-packages/matplotlib/backends/backend_pgf.py", 
line 409, in __init__
    self.latexManager = LatexManagerFactory.get_latex_manager()
  File "/usr/lib64/python2.7/site-packages/matplotlib/backends/backend_pgf.py", 
line 223, in get_latex_manager
    new_inst = LatexManager()
  File "/usr/lib64/python2.7/site-packages/matplotlib/backends/backend_pgf.py", 
line 305, in __init__
    cwd=self.tmpdir)
  File "/usr/lib64/python2.7/subprocess.py", line 711, in __init__
    errread, errwrite)
  File "/usr/lib64/python2.7/subprocess.py", line 1308, in _execute_child
    raise child_exception
OSError: [Errno 2] No such file or directory

Hi Skip,

Something like that is probably what I will implement. I want the user 
to be able to change scale on the fly, so it means keeping 2 copies of 
the data. Not a big deal, but I just don't want to build something that 
already exists.

cheers,

Marc

Marc Pelletier, P. Geo.
Nutana Geophysics
Saskatoon, SK
tel: (306) 931-6853
cell: (306) 260-6022

On 06/05/2014 11:43 AM, Skip Montanaro wrote:
> On Tue, May 6, 2014 at 12:10 PM, Marc Pelletier
> <ma...@nu...> wrote:
>> Is there a simple way to accomplish this?
> Do some modulo arithmetic on your Y values and lie (in your tick
> labels) about the actual numeric values plotted on the Y axis?
>
> Skip

On Tue, May 6, 2014 at 12:10 PM, Marc Pelletier
<ma...@nu...> wrote:
>
> Is there a simple way to accomplish this?

Do some modulo arithmetic on your Y values and lie (in your tick
labels) about the actual numeric values plotted on the Y axis?

Skip

Hello,

I'm using the RO.StripChartWdg module to plot real time data. The data 
can vary quite a lot and rather than autoscale I want to set a vertical 
scale and have it wrap. This is what I mean by wrapping.. when the value 
scrolls out of the extents of the window it reappears on the opposite 
side. Ideally I would like to place a connecting bar between them, but 
its not essential


  There are lots of ways to accomplish this, but before I set out I want 
to be sure I'm not reinventing the wheel. Is there a simple way to 
accomplish this?

cheers,

Marc Pelletier

I'm trying to use the webagg backend for the first time, and seem to
be bumping into a common problem - nothing appears. The first time I
tried, I got a complaint that tornado was missing, so I installed it.
After that, I get to try plotting. Here's my example:

>>> import matplotlib
>>> matplotlib.use('webagg')
>>> import matplotlib.pyplot as plt
>>> plt.plot(range(10))
[<matplotlib.lines.Line2D object at 0x2f56690>]
>>> plt.show()
Created new window in existing browser session.
Press Ctrl+C to stop server
^CServer stopped

When I execute plt.show(), a new tab opens in my browser (Chrome, on
Linux) with this URL: http://127.0.0.1:8988. That page has a single
link (text: "Figure 1"). If I click that link, I get this URL:
http://127.0.0.1:8988/1, but nothing appears. The page source contains
a bunch of JavaScript references. For instance:

<script src="/_static/jquery/js/jquery-1.7.1.min.js"></script>
<script src="/_static/jquery/js/jquery-ui.min.js"></script>
<script src="/_static/mpl.js"></script>
<script src="/1/mpl_interface.js"></script>

I see those JavaScript files at appropriate places in the
.../backends/web_backend directory. What am I missing?

Thx,

Skip

Hi,I plotted some data in my figure canvas and now I want to save the figure
to pdf and in A4 size PDF. So I did the following:
   def handlePdfButton(self):	from matplotlib.backends.backend_pdf import
PdfPages	fileName = "sample.pdf"	pdf = PdfPages(fileName)
self.fig.set_size_inches(8.267,11.692) # to make it A4 sizes
pdf.savefig(self.fig)	pdf.close()
Because I do self.fig.set_size_inches(8.267,11.692)  the application window
figure is also resized, I do not want this to happen. I need only A4 size
pdf, so how do I resize the application figure? Or please suggest if there
is any other way to save pdf in A4 size.I do not want the figure to be
resized after saving to PDF.Please share your views. Thanks for your help in
advance.Sample application code to test:
import sysimport numpy as npfrom matplotlib.figure import Figureimport
matplotlibmatplotlib.use("Qt4Agg")matplotlib.rcParams['backend.qt4']='PySide'from
matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas,
NavigationToolbar2QTAgg as NavigationToolbarfrom matplotlib.figure import
Figureimport PySidefrom PySide import QtGui, QtCoreclass
MyApp(QtGui.QMainWindow):    def __init__(self, parent=None):       
QtGui.QMainWindow.__init__(self, parent)        self.widget =
QtGui.QWidget()        self.fig = Figure((5.0, 4.0), dpi=100)       
self.canvas = FigureCanvas(self.fig)        self.toolbar =
NavigationToolbar(self.canvas, self)        self.PdfButton =
QtGui.QPushButton("PDF")       
self.PdfButton.clicked.connect(self.handlePdfButton)        vbox =
QtGui.QVBoxLayout()        vbox.addWidget(self.canvas)  # the matplotlib
canvas        vbox.addWidget(self.toolbar)	vbox.addWidget(self.PdfButton)       
self.widget.setLayout(vbox)        self.setCentralWidget(self.widget)       
self.axes = self.fig.add_subplot(111)        X = np.linspace(-np.pi, np.pi,
256, endpoint=True)        C, S = np.cos(X), np.sin(X)	self.axes.plot(X, C, 
linewidth=1.0, linestyle="-", label="cosine")	self.axes.plot(X, S, 
linewidth=1.0, linestyle="-", label="sine")        self.axes.legend()       
self.canvas.draw()        def handlePdfButton(self):	from
matplotlib.backends.backend_pdf import PdfPages	fileName = "sample.pdf"	pdf
= PdfPages(fileName)	self.fig.set_size_inches(8.267,11.692)
pdf.savefig(self.fig)        #self.fig.set_size_inches(8.267,11.692)
#self.fig.canvas.resize(20,20)	pdf.close()	#self.canvas.draw()def main():   
app = QtGui.QApplication(sys.argv)    form = MyApp()    form.show()   
app.exec_()if __name__ == "__main__":    main()




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