def __init__(self):
super(StackedPlot, self).__init__()
self.container = OverlayPlotContainer(
bgcolor="white", use_backbuffer=True, border_visible=True, padding=50, padding_left=110, fill_padding=True
)
self.data = ArrayPlotData()
self.chaco_plot = None
self.value_mapper = None
self.index_mapper = None
self.x_axis = PlotAxis(
component=self.container,
orientation="bottom",
title=u"Angle (2\u0398)",
title_font=settings.axis_title_font,
tick_label_font=settings.tick_font,
)
y_axis_title = "Normalized intensity (%s)" % get_value_scale_label("linear")
self.y_axis = PlotAxis(
component=self.container,
orientation="left",
title=y_axis_title,
title_font=settings.axis_title_font,
tick_label_font=settings.tick_font,
)
self.container.overlays.extend([self.x_axis, self.y_axis])
self.container.tools.append(TraitsTool(self.container, classes=[LinePlot, PlotAxis]))
self.colors = []
self.last_flip_order = self.flip_order
def _plot(self, x, y, z, scale):
self.data_x, self.data_z, self.scale = x, z, scale
if self.container.components:
self.colors = map(lambda plot: plot.color, self.container.components)
if self.last_flip_order != self.flip_order:
self.colors.reverse()
self.container.remove(*self.container.components)
# Use a custom renderer so plot lines are clickable
self.chaco_plot = Plot(self.data,
renderer_map={ 'line': ClickableLinePlot })
self.chaco_plot.bgcolor = 'white'
self.value_mapper = None
self.index_mapper = None
if len(self.data_x) == len(self.colors):
colors = self.colors[:]
else:
colors = ['black'] * len(self.data_x)
if self.flip_order:
z = z[::-1]
spacing = (z.max(axis=1) - z.min(axis=1)).min() * self.value_range
offset = spacing * self.offset
for i, (x_row, z_row) in enumerate(zip(x, z)):
self.data.set_data('data_x_' + str(i), x_row)
self.data.set_data('data_y_offset_' + str(i), z_row * self.value_range + offset * i)
plots = self.chaco_plot.plot(('data_x_' + str(i), 'data_y_offset_' + str(i)), color=colors[i], type='line')
plot = plots[0]
self.container.add(plot)
# Required for double-clicking plots
plot.index.sort_order = 'ascending'
plot.value.sort_order = 'ascending'
if self.value_mapper is None:
self.index_mapper = plot.index_mapper
self.value_mapper = plot.value_mapper
else:
plot.value_mapper = self.value_mapper
self.value_mapper.range.add(plot.value)
plot.index_mapper = self.index_mapper
self.index_mapper.range.add(plot.index)
range = self.value_mapper.range
range.high = (range.high - range.low) * self.value_range + range.low
self.x_axis.mapper = self.index_mapper
self.y_axis.mapper = self.value_mapper
self.y_axis.title = 'Normalized intensity (%s)' % \
get_value_scale_label(scale)
#self.zoom_tool = ClickUndoZoomTool(
# plot, tool_mode="box", always_on=True, pointer="cross",
# drag_button=settings.zoom_button,
# undo_button=settings.undo_button,
#)
#plot.overlays.append(self.zoom_tool)
#plot.tools.append(TraitsTool(plot))
self.last_flip_order = self.flip_order
return self.container
def __init__(self, callback_obj=None, *args, **kws):
super(MplPlot, self).__init__(*args, **kws)
self.figure = plt.figure()
self.figure.subplots_adjust(bottom=0.05, left=0, top=1, right=0.95)
self.ax = None
for s in self.scale_values:
self.z_labels[s] = 'Intensity - ' + get_value_scale_label(s, mpl=True)
# This must be a weak reference, otherwise the entire app will
# hang on exit.
from weakref import proxy
if callback_obj:
self._callback_object = proxy(callback_obj)
else:
self._callback_object = lambda *args, **kw: None
def _plot(self, x, y, z, scale):
pd = ArrayPlotData()
pd.set_data("imagedata", z)
plot = Plot(pd, padding_left=60, fill_padding=True)
plot.bgcolor = "white"
cmap = fix(jet, (0, z.max()))
origin = "bottom left" # origin = 'top left' # to flip y-axis
plot.img_plot(
"imagedata",
name="surface2d",
xbounds=(np.min(x), np.max(x)),
ybounds=(1.0, y[-1, -1]),
colormap=cmap,
hide_grids=True,
interpolation="nearest",
origin=origin,
)
plot.default_origin = origin
plot.x_axis.title = u"Angle (2\u0398)"
tick_font = settings.tick_font
plot.x_axis.title_font = settings.axis_title_font
plot.y_axis.title_font = settings.axis_title_font
plot.x_axis.tick_label_font = tick_font
plot.y_axis.tick_label_font = tick_font
plot.y_axis.title = "Dataset"
plot.y_axis.tick_interval = 1.0
actual_plot = plot.plots["surface2d"][0]
self.plot_zoom_tool = ClickUndoZoomTool(
plot,
tool_mode="box",
always_on=True,
pointer="cross",
drag_button=settings.zoom_button,
undo_button=settings.undo_button,
x_min_zoom_factor=-np.inf,
y_min_zoom_factor=-np.inf,
)
plot.overlays.append(self.plot_zoom_tool)
plot.tools.append(TraitsTool(plot))
# Add a color bar
colormap = actual_plot.color_mapper
colorbar = ColorBar(
index_mapper=LinearMapper(range=colormap.range),
color_mapper=colormap,
plot=actual_plot,
orientation="v",
resizable="v",
width=30,
padding=40,
padding_top=50,
fill_padding=True,
)
colorbar._axis.title_font = settings.axis_title_font
colorbar._axis.tick_label_font = settings.tick_font
# Add pan and zoom tools to the colorbar
self.colorbar_zoom_tool = ClickUndoZoomTool(
colorbar,
axis="index",
tool_mode="range",
always_on=True,
drag_button=settings.zoom_button,
undo_button=settings.undo_button,
)
pan_tool = PanToolWithHistory(
colorbar,
history_tool=self.colorbar_zoom_tool,
constrain_direction="y",
constrain=True,
drag_button=settings.pan_button,
)
colorbar.tools.append(pan_tool)
colorbar.overlays.append(self.colorbar_zoom_tool)
# Add a label to the top of the color bar
colorbar_label = PlotLabel(
u"Intensity\n{:^9}".format("(" + get_value_scale_label(scale) + ")"),
component=colorbar,
font=settings.axis_title_font,
)
colorbar.overlays.append(colorbar_label)
colorbar.tools.append(TraitsTool(colorbar))
# Add the plot and colorbar side-by-side
container = HPlotContainer(use_backbuffer=True)
container.add(plot)
container.add(colorbar)
return container
def _set_scale(self, scale):
self.plot.y_axis.title = 'Intensity (%s)' % get_value_scale_label(scale)
def _plot(self, x, y, z, scale):
pd = ArrayPlotData()
# pd.set_data("imagedata", z)
plot = Plot(pd, padding_left=60, fill_padding=True)
plot.bgcolor = 'white'
cmap = fix(jet, (0, z.max()))
plot.default_origin = 'bottom left' # origin = 'top left' # to flip y-axis
fid = FunctionImageData(func=self._prepare_data_for_window, data_range=plot.range2d)
pd.set_data("imagedata", fid)
self.img_plot = plot.img_plot("imagedata", name="surface2d",
xbounds=(np.min(x), np.max(x)),
ybounds=(1.0, y[-1,-1]),
colormap=cmap, hide_grids=True, interpolation='nearest'
# origin=origin,
)[0]
#plot.default_origin = origin
plot.x_axis = MyPlotAxis(component=plot, orientation='bottom')
plot.y_axis = MyPlotAxis(component=plot, orientation='left')
plot.x_axis.title = u'Angle (2\u0398)'
tick_font = settings.tick_font
plot.x_axis.title_font = settings.axis_title_font
plot.y_axis.title_font = settings.axis_title_font
plot.x_axis.tick_label_font = tick_font
plot.y_axis.tick_label_font = tick_font
plot.y_axis.title = "Dataset"
# if <10 datasets we want to reduce down the tickmarks to multiples
if len(y)<10:
plot.y_axis.tick_interval = 1.0
else:
plot.y_axis.tick_interval = len(y)/10
actual_plot = plot.plots["surface2d"][0]
self.plot_zoom_tool = ClickUndoZoomTool(
plot, always_on=True, pointer="cross",
tool_mode="range",
axis="index",
drag_button=settings.zoom_button,
undo_button=settings.undo_button,
x_min_zoom_factor=-np.inf, y_min_zoom_factor=-np.inf,
)
plot.overlays.append(self.plot_zoom_tool)
plot.tools.append(TraitsTool(plot))
# Add a color bar
colormap = actual_plot.color_mapper
colorbar = ColorBar(index_mapper=LinearMapper(range=colormap.range),
color_mapper=colormap,
plot=actual_plot,
orientation='v',
resizable='v',
width=30,
padding=40,
padding_top=50,
fill_padding=True)
colorbar._axis.title_font = settings.axis_title_font
colorbar._axis.tick_label_font = settings.tick_font
# Add pan and zoom tools to the colorbar
self.colorbar_zoom_tool = ClickUndoZoomTool(colorbar,
axis="index",
tool_mode="range",
always_on=True,
drag_button=settings.zoom_button,
undo_button=settings.undo_button)
pan_tool = PanToolWithHistory(colorbar,
history_tool=self.colorbar_zoom_tool,
constrain_direction="y", constrain=True,
drag_button=settings.pan_button)
colorbar.tools.append(pan_tool)
colorbar.overlays.append(self.colorbar_zoom_tool)
# Add a label to the top of the color bar
colorbar_label = PlotLabel(
u'Intensity\n{:^9}'.format('(' + get_value_scale_label(scale) + ')'),
component=colorbar,
font=settings.axis_title_font,
)
colorbar.overlays.append(colorbar_label)
colorbar.tools.append(TraitsTool(colorbar))
# Add the plot and colorbar side-by-side
container = HPlotContainer(use_backbuffer=True)
container.add(plot)
container.add(colorbar)
self.twod_plot = plot
return container
def _set_scale(self, scale):
self.plot.y_axis.title = 'Intensity (%s)' % get_value_scale_label(scale)
