Python _pylab_helpers.Gcf类代码示例

def show():
    """ Show all the figures """
    for manager in Gcf.get_all_fig_managers():
        manager.window.show()
    figManager =  Gcf.get_active()
    if figManager != None:
        figManager.canvas.draw()

def show(block=True, layout="", open_plot=True):
    """
    This show is typically called via pyplot.show.
    In general usage a script will have a sequence of figure creation followed by a pyplot.show which
    effectively blocks and leaves the figures open for the user.
    We suspect this blocking is because the mainloop thread of the GUI is not setDaemon and thus halts
    python termination.
    To simulate this we create a non daemon dummy thread and instruct the user to use Ctrl-C to finish...
    """
    Gcf.get_active().canvas.draw()
    # update the current figure
    # open the browser with the current active figure shown...

    # if not _test and open_plot:
    #     try:
    #         webbrowser.open_new_tab(h5m.url + "/" + str(layout))
    #     except:
    #         print "Failed to open figure page in your browser. Please browse to " + h5m.url + "/" + str(Gcf.get_active().canvas.figure.number)

    if block and not _test:
        print "Showing figures. Hit Ctrl-C to finish script and close figures..."
        try:
            while True:
                time.sleep(1)
        except KeyboardInterrupt:
            if not _quiet:
                print "Shutting down..."

def show(close=None, block=None):
    """Show all figures as SVG/PNG payloads sent to the IPython clients.

    Parameters
    ----------
    close : bool, optional
      If true, a ``plt.close('all')`` call is automatically issued after
      sending all the figures. If this is set, the figures will entirely
      removed from the internal list of figures.
    block : Not used.
      The `block` parameter is a Matplotlib experimental parameter.
      We accept it in the function signature for compatibility with other
      backends.
    """
    if close is None:
        close = InlineBackend.instance().close_figures
    try:
        for figure_manager in Gcf.get_all_fig_managers():
            display(
                figure_manager.canvas.figure,
                metadata=_fetch_figure_metadata(figure_manager.canvas.figure)
            )
    finally:
        show._to_draw = []
        # only call close('all') if any to close
        # close triggers gc.collect, which can be slow
        if close and Gcf.get_all_fig_managers():
            matplotlib.pyplot.close('all')

 def _widgetclosed( self ):
     if self.window._destroying: return
     self.window._destroying = True
     try:
         Gcf.destroy(self.num)
     except AttributeError:
         pass

 def fig_visibility_changed(self):
     """
     Make a notification in the global figure manager that
     plot visibility was changed. This method is added to this
     class so that it can be wrapped in a QAppThreadCall.
     """
     Gcf.figure_visibility_changed(self.num)

 def _widgetclosed(self):
     if self.window._destroying:
         return
     self.window._destroying = True
     map(self.canvas.mpl_disconnect, self._cids)
     try:
         Gcf.destroy(self.num)
     except AttributeError:
         pass

    def set_window_title(self, title):
        self.window.setWindowTitle(title)
        # We need to add a call to the figure manager here to call
        # notify methods when a figure is renamed, to update our
        # plot list.
        Gcf.figure_title_changed(self.num)

        # For the workbench we also keep the label in sync, this is
        # to allow getting a handle as plt.figure('Figure Name')
        self.canvas.figure.set_label(title)

    def savefig(self, figure=None, **kwargs):
        """
        Saves a :class:`~matplotlib.figure.Figure` to this file as a new page.

        Any other keyword arguments are passed to
        :meth:`~matplotlib.figure.Figure.savefig`.

        Parameters
        ----------

        figure : :class:`~matplotlib.figure.Figure` or int, optional
            Specifies what figure is saved to file. If not specified, the
            active figure is saved. If a :class:`~matplotlib.figure.Figure`
            instance is provided, this figure is saved. If an int is specified,
            the figure instance to save is looked up by number.
        """
        if not isinstance(figure, Figure):
            if figure is None:
                manager = Gcf.get_active()
            else:
                manager = Gcf.get_fig_manager(figure)
            if manager is None:
                raise ValueError("No figure {}".format(figure))
            figure = manager.canvas.figure

        try:
            orig_canvas = figure.canvas
            figure.canvas = FigureCanvasPgf(figure)

            width, height = figure.get_size_inches()
            if self._n_figures == 0:
                self._write_header(width, height)
            else:
                # \pdfpagewidth and \pdfpageheight exist on pdftex, xetex, and
                # luatex<0.85; they were renamed to \pagewidth and \pageheight
                # on luatex>=0.85.
                self._file.write(
                    br'\newpage'
                    br'\ifdefined\pdfpagewidth\pdfpagewidth'
                    br'\else\pagewidth\fi=%ain'
                    br'\ifdefined\pdfpageheight\pdfpageheight'
                    br'\else\pageheight\fi=%ain'
                    b'%%\n' % (width, height)
                )

            figure.savefig(self._file, format="pgf", **kwargs)
            self._n_figures += 1
        finally:
            figure.canvas = orig_canvas

def draw_if_interactive():
    '''Handle whether or not the backend is in interactive mode or not.
    '''
    if matplotlib.is_interactive():
        figManager = Gcf.get_active()
        if figManager:
            figManager.canvas.draw_idle()

def show():
    """
    For image backends - is not required
    For GUI backends - show() is usually the last line of a pylab script and
    tells the backend that it is time to draw.  In interactive mode, this may
    be a do nothing func.  See the GTK backend for an example of how to handle
    interactive versus batch mode
    """
    global plotnumber
    global lastfile
    global filename_template
    global outdir

    for manager in Gcf.get_all_fig_managers():
        # do something to display the GUI
        pass
    lastfile = filename_template % plotnumber
    outpath = os.path.join(outdir, lastfile)
    if not os.path.exists(outdir):
        raise IOError("No such directory %s " % outdir)

    if setdpi:
        matplotlib.pyplot.savefig(outpath, dpi=setdpi)
    else:
        matplotlib.pyplot.savefig(outpath)
    plotnumber = plotnumber + 1
    return plotnumber - 1

def pastefig(*figs):
    """Paste one or more figures into the console workspace.

    If no arguments are given, all available figures are pasted.  If the
    argument list contains references to invalid figures, a warning is printed
    but the function continues pasting further figures.

    Parameters
    ----------
    figs : tuple
      A tuple that can contain any mixture of integers and figure objects.
    """
    if not figs:
        show(close=False)
    else:
        fig_managers = Gcf.get_all_fig_managers()
        fig_index = dict( [(fm.canvas.figure, fm.canvas) for fm in fig_managers]
           + [ (fm.canvas.figure.number, fm.canvas) for fm in fig_managers] )

        for fig in figs:
            canvas = fig_index.get(fig)
            if canvas is None:
                print('Warning: figure %s not available.' % fig)
            else:
                send_svg_canvas(canvas)

def getfigs(*fig_nums):
    """Get a list of matplotlib figures by figure numbers.

    If no arguments are given, all available figures are returned.  If the
    argument list contains references to invalid figures, a warning is printed
    but the function continues pasting further figures.

    Parameters
    ----------
    figs : tuple
        A tuple of ints giving the figure numbers of the figures to return.
    """
    from matplotlib._pylab_helpers import Gcf
    if not fig_nums:
        fig_managers = Gcf.get_all_fig_managers()
        return [fm.canvas.figure for fm in fig_managers]
    else:
        figs = []
        for num in fig_nums:
            f = Gcf.figs.get(num)
            if f is None:
                print('Warning: figure %s not available.' % num)
            else:
                figs.append(f.canvas.figure)
        return figs

 def open(self, fignum):
     self.fignum = int(fignum)
     manager = Gcf.get_fig_manager(self.fignum)
     manager.add_web_socket(self)
     _, _, w, h = manager.canvas.figure.bbox.bounds
     manager.resize(w, h)
     self.on_message('{"type":"refresh"}')

    def __call__(self, **kwargs):
        managers = Gcf.get_all_fig_managers()
        if not managers:
            return

        for manager in managers:
            manager.show(**kwargs)

    def show(*args, block=None, **kwargs):
        if args or kwargs:
            cbook.warn_deprecated(
                "3.1", message="Passing arguments to show(), other than "
                "passing 'block' by keyword, is deprecated %(since)s, and "
                "support for it will be removed %(removal)s.")

        ## TODO: something to do when keyword block==False ?
        from matplotlib._pylab_helpers import Gcf

        managers = Gcf.get_all_fig_managers()
        if not managers:
            return

        interactive = is_interactive()

        for manager in managers:
            manager.show()

            # plt.figure adds an event which puts the figure in focus
            # in the activeQue. Disable this behaviour, as it results in
            # figures being put as the active figure after they have been
            # shown, even in non-interactive mode.
            if hasattr(manager, '_cidgcf'):
                manager.canvas.mpl_disconnect(manager._cidgcf)

            if not interactive and manager in Gcf._activeQue:
                Gcf._activeQue.remove(manager)