class _MFnMatplotlibEditor(Editor):
# @todo This is not used here, either activate or delete
# scrollable = True
# the plot representation in matplotlib
figure = Instance(Figure(facecolor=MFnPlotAdapter().padding_bg_color), ())
# adjustable parameters
adapter = Instance(MFnPlotAdapter)
# @todo faezeh please make the mapping from the human readable color
#
def init(self, parent):
factory = self.factory
self.adapter = factory.adapter
self.control = self._create_canvas(parent)
self.value.on_trait_change(self.update_editor, 'data_changed')
def update_editor(self):
figure = self.figure
axes = figure.add_subplot(111)
canvas = figure.canvas
if canvas is None:
pass
else:
figure.delaxes(axes)
self._refresh_plot()
figure.canvas.draw()
def _create_canvas(self, parent):
""" Create the MPL canvas. """
# The panel lets us add additional controls.
a = self.adapter
fig = self.figure
panel = wx.Panel(parent, -1, style=wx.CLIP_CHILDREN)
sizer = wx.BoxSizer(wx.VERTICAL)
panel.SetSizer(sizer)
# matplotlib commands to create a canvas
mpl_control = FigureCanvas(panel, -1, fig)
toolbar = NavigationToolbar2Wx(mpl_control)
sizer.Add(toolbar, 0, wx.EXPAND)
sizer.Add(mpl_control, 1, wx.LEFT | wx.TOP | wx.GROW)
if a.max_size:
self.figure.canvas.SetMaxSize(a.max_size)
if a.min_size:
self.figure.canvas.SetMinSize((a.min_size))
if a.padding:
for side, pad in a.padding.items():
setattr(self.figure.subplotpars, side, pad)
return panel
def _refresh_plot(self):
figure = self.figure
mfn_line = self.value
x = mfn_line.xdata
y = mfn_line.ydata
axes = figure.add_subplot(111)
a = self.adapter
if a.var_x != '':
label_x = getattr(self.object, a.var_x)
else:
label_x = a.label_x
if a.var_y != '':
label_y = getattr(self.object, a.var_y)
else:
label_y = a.label_y
styles_m = a.line_style.values()
# line_color = self.line_color_matplotlib[ a.line_color ]
line_color = a.line_color[0]
line_style = styles_m[0]
#line_style = self.line_style_matplotlib[ a.line_style ]
axes.plot(x, y, color=line_color, linewidth=2., linestyle=line_style)
axes.set_xlabel(label_x, weight='semibold')
axes.set_ylabel(label_y, weight='semibold')
axes.set_title( a.title, size = 'large', color = a.title_color,\
weight = 'bold', position = (.5,1.03))
axes.set_axis_bgcolor(color=a.bgcolor)
axes.ticklabel_format(scilimits=a.scilimits)
axes.grid(color='gray', linestyle='--', linewidth=0.1, alpha=0.4)
axes.set_xscale(a.xscale)
axes.set_yscale(a.yscale)
def _adapter_default(self):
return MFnPlotAdapter()