HI folks,
anybody know how to save a canvas (MplWidget) to a png or tif file.
Seems
when I try to save the figure,
whichCanvas.canvas.ax.plot(xSlice, ySlice, 'bo', linewidth=1.5,
linestyle='-')
savefig does not work for this type of object. Is there another method I
should use that I
missed?
thanks
dave
MplWidget
Classs
from PyQt4 import QtGui
- Ignored:
from matplotlib.backends.backend_qt4agg \
import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
class MplCanvas(FigureCanvas):
def __init__(self):
self.fig = Figure()
self.ax = self.fig.add_subplot(111)
FigureCanvas.__init__(self, self.fig)
FigureCanvas.setSizePolicy(self,
QtGui.QSizePolicy.Expanding,
QtGui.QSizePolicy.Expanding)
FigureCanvas.updateGeometry(self)
class MplWidget(QtGui.QWidget):
def __init__(self, parent = None):
QtGui.QWidget.__init__(self, parent)
self.canvas = MplCanvas()
self.vbl = QtGui.QVBoxLayout()
self.vbl.addWidget(self.canvas)
self.setLayout(self.vbl)
On Tue, Feb 16, 2010 at 1:57 PM,
matplotlib-users-requ...@lists.sourceforge.net wrote:
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Today's Topics:
1. Suggestion for filtering by calendar? (David Carmean)
2. Re: add to a canvas while preserving overall formatting (C M)
3. Color in table help please! I have already searched previous
posts (duckman)
4. Re: DateFormatter + Latex issue (Ernest Adrogu?)
5. Re: Where Do I Report MPL Guide Issues? (Wayne Watson)
6. Re: DateFormatter + Latex issue (Filipe Pires Alvarenga Fernandes)
7. Re: forcing a plot to appear (Ken Dere)
8. Re: DateFormatter + Latex issue (Ernest Adrogu?)
--
Message: 1
Date: Tue, 16 Feb 2010 09:51:47 -0800
From: David Carmean d...@halibut.com
Subject: [Matplotlib-users] Suggestion for filtering by calendar?
To: matplotlib-users@lists.sourceforge.net
Message-ID: 20100216095147.k26...@halibut.com
Content-Type: text/plain; charset=us-ascii
I have a time-series dataset for which I need to make several plots;
some of them will use all of the data, but others need not only to
show just the usual business hours, but also take business holidays
into account. I thoght this might be sufficiently common in this
community that somebody could easily point me to a python idiom/recipe
they've used that I could extend to use masked arrays.
FWIW, the idea is not that I want to skip those time periods on the
visualizations--and thus the recipes which treat the data as
non-timeseries and construct custom ticks are not the solution for me.
One of the tasks will be to use a fill to shade in these working hours
for some of the plots. Another will be to calculate and plot running
averages that exclude non-working hours.
Thanks.
--
Message: 2
Date: Tue, 16 Feb 2010 14:07:04 -0500
From: C M cmpyt...@gmail.com
Subject: Re: [Matplotlib-users] add to a canvas while preserving
overall formatting
To: Matplotlib Users matplotlib-users@lists.sourceforge.net
Message-ID:
cc8074371002161107w6ef0f865wdece7d0a74c61...@mail.gmail.com
Content-Type: text/plain; charset=ISO-8859-1
On Tue, Feb 16, 2010 at 12:37 PM, John Hunter jdh2...@gmail.com wrote:
On Tue, Feb 16, 2010 at 11:14 AM, C M cmpyt...@gmail.com wrote:
I have a mpl graph embedded in wxPython, and I call a function,
customize_plot() to do a number of things to the plot: ?adjust the
spacing around it, set the formatters, fontsizes, axis limits, set a
grid, etc.
Now I want to potentially highlight points (by adding semi-transparent
points on top of existing ones) or annotate points with user
interaction. ?If I do that, it seems I need to call canvas.draw().
But when I do that, it redraws the whole canvas and ignores some of
the formatting I laid out in customize_plot(), specifically the view
limits, and that's not acceptable.
This isn't accurate -- calling draw will not change the view limits.
In all likelihood what is happening is that when you add you your
overlay markers, eg by calling plot the view limits
