def _refresh_container(self):
''' rebuild the container for the current data
'''
broadcaster = BroadcasterTool()
mfn_line = self.value
# print self.panel.GetSize()
adapter = self.adapter
if adapter.var_x != '':
# Get the x-label text from the object's trait var_x
label_x = getattr(self.object, adapter.var_x)
else:
# Get the x-label from the adapter
label_x = adapter.label_x
if adapter.var_y != '':
label_y = getattr(self.object, adapter.var_y)
else:
label_y = adapter.label_y
index = ArrayDataSource(mfn_line.xdata)
y = ArrayDataSource(mfn_line.ydata, sort_order="none")
index_range = DataRange1D()
index_range.add(index)
index_mapper = LinearMapper(range=index_range)
value_range = DataRange1D(low_setting=0.0)
value_range.add(y)
value_mapper = LinearMapper(range=value_range)
styles_m = adapter.line_style.values()
line_style = styles_m[0]
line_color = adapter.line_color[0]
line_plot = self.lplot = LinePlot(index=index,
value=y,
index_mapper=index_mapper,
value_mapper=value_mapper,
color=line_color,
width=25,
edge_color='blue',
linestyle=line_style,
border_visible=False)
add_default_grids(line_plot)
add_default_axes(line_plot, vtitle="Y", htitle="X")
self.plot_container.add(line_plot)
line_plot.tools.append(PanTool(line_plot))
line_plot.overlays.append(ZoomTool(line_plot))
def _refresh_container( self ):
''' rebuild the container for the current data
'''
broadcaster = BroadcasterTool()
mfn_line = self.value
# print self.panel.GetSize()
adapter = self.adapter
if adapter.var_x != '':
# Get the x-label text from the object's trait var_x
label_x = getattr( self.object, adapter.var_x )
else:
# Get the x-label from the adapter
label_x = adapter.label_x
if adapter.var_y != '':
label_y = getattr( self.object, adapter.var_y )
else:
label_y = adapter.label_y
index = ArrayDataSource(mfn_line.xdata)
y = ArrayDataSource(mfn_line.ydata, sort_order="none")
index_range = DataRange1D()
index_range.add(index)
index_mapper = LinearMapper(range=index_range)
value_range = DataRange1D( low_setting = 0.0 )
value_range.add(y)
value_mapper = LinearMapper(range=value_range)
styles_m = adapter.line_style.values()
line_style = styles_m[0]
line_color = adapter.line_color[0]
line_plot = self.lplot = LinePlot(index = index, value = y,
index_mapper = index_mapper,
value_mapper = value_mapper,
color = line_color,
width = 25,
edge_color = 'blue',
linestyle = line_style,
border_visible = False)
add_default_grids(line_plot)
add_default_axes(line_plot, vtitle="Y", htitle="X")
self.plot_container.add(line_plot)
line_plot.tools.append(PanTool(line_plot))
line_plot.overlays.append(ZoomTool(line_plot))
def _refresh_container(self):
''' rebuild the container for the current data
'''
broadcaster = BroadcasterTool()
mfn_line = self.value
ydata = transpose(mfn_line.ydata)
adapter = self.adapter
if adapter.var_x != '':
# Get the x-label text from the object's trait var_x
label_x = getattr(self.object, adapter.var_x)
else:
# Get the x-label from the adapter
label_x = adapter.label_x
if adapter.var_y != '':
label_y = getattr(self.object, adapter.var_y)
else:
label_y = adapter.label_y
index = ArrayDataSource(mfn_line.xdata)
index_range = DataRange1D()
index_range.add(index)
index_mapper = LinearMapper(range=index_range)
value_range = DataRange1D(low_setting=0.0)
colors = []
colors = adapter.line_color #self.line_color_chaco.values()
styles = []
styles = adapter.line_style #self.line_style_chaco.values()
s_item = styles.items()
color_chaco = []
style_chaco = []
c_index = 0 # loop for colors
s_index = 0 # loop for styles
i = 0 # for colors and styles
plots = {} # for legend
pd = ArrayPlotData(index=mfn_line.xdata)
self.splot = Plot(pd)
for vector in ydata[:]:
if len(colors) == c_index:
c_index = 0
if len(styles) == s_index:
s_index = 0
style_name = s_item[s_index][0]
color_chaco.append(colors[c_index])
style_chaco.append(style_name)
c_index = c_index + 1
s_index = s_index + 1
y = ArrayDataSource(vector, sort_order="none")
value_range.add(y)
value_mapper = LinearMapper(range=value_range)
self.line_plot = LinePlot(index=index,
value=y,
index_mapper=index_mapper,
value_mapper=value_mapper,
color=color_chaco[i],
line_width=adapter.linewidth,
edge_color='blue',
border_visible=False,
line_style=style_chaco[i])
add_default_grids(self.line_plot)
add_default_axes(self.line_plot, vtitle=label_y, htitle=label_x)
self.plot_container.add(self.line_plot)
# pan = PanTool(line_plot)
# zoom = SimpleZoom(line_plot, tool_mode="box", always_on=False)
# broadcaster.tools.append(pan)
# broadcaster.tools.append(zoom)
# Add the traits inspector tool to the container
#
# self.plot_container.tools.append(TraitsTool( self.plot_container ))
self.line_plot.tools.append(PanTool(self.line_plot))
self.line_plot.overlays.append(ZoomTool(self.line_plot))
# Legend
lgnd = adapter.legend_labels[i]
plots[lgnd] = self.line_plot
# change the color of the curves
i = i + 1
legend = Legend(component=self.plot_container, padding=10, align="ul")
legend.tools.append(LegendTool(legend, drag_button="right"))
self.plot_container.overlays.append(legend)
# Set the list of plots on the legend
legend.plots = plots
# Add the title at the top
self.plot_container.overlays.append(
PlotLabel(adapter.title,
component=self.plot_container,
font="swiss 16",
overlay_position="top"))
def _refresh_container(self):
""" rebuild the container for the current data
"""
broadcaster = BroadcasterTool()
mfn_line = self.value
ydata = transpose(mfn_line.ydata)
adapter = self.adapter
if adapter.var_x != "":
# Get the x-label text from the object's trait var_x
label_x = getattr(self.object, adapter.var_x)
else:
# Get the x-label from the adapter
label_x = adapter.label_x
if adapter.var_y != "":
label_y = getattr(self.object, adapter.var_y)
else:
label_y = adapter.label_y
index = ArrayDataSource(mfn_line.xdata)
index_range = DataRange1D()
index_range.add(index)
index_mapper = LinearMapper(range=index_range)
value_range = DataRange1D(low_setting=0.0)
colors = []
colors = adapter.line_color # self.line_color_chaco.values()
styles = []
styles = adapter.line_style # self.line_style_chaco.values()
s_item = styles.items()
color_chaco = []
style_chaco = []
c_index = 0 # loop for colors
s_index = 0 # loop for styles
i = 0 # for colors and styles
plots = {} # for legend
pd = ArrayPlotData(index=mfn_line.xdata)
self.splot = Plot(pd)
for vector in ydata[:]:
if len(colors) == c_index:
c_index = 0
if len(styles) == s_index:
s_index = 0
style_name = s_item[s_index][0]
color_chaco.append(colors[c_index])
style_chaco.append(style_name)
c_index = c_index + 1
s_index = s_index + 1
y = ArrayDataSource(vector, sort_order="none")
value_range.add(y)
value_mapper = LinearMapper(range=value_range)
self.line_plot = LinePlot(
index=index,
value=y,
index_mapper=index_mapper,
value_mapper=value_mapper,
color=color_chaco[i],
line_width=adapter.linewidth,
edge_color="blue",
border_visible=False,
line_style=style_chaco[i],
)
add_default_grids(self.line_plot)
add_default_axes(self.line_plot, vtitle=label_y, htitle=label_x)
self.plot_container.add(self.line_plot)
# pan = PanTool(line_plot)
# zoom = SimpleZoom(line_plot, tool_mode="box", always_on=False)
# broadcaster.tools.append(pan)
# broadcaster.tools.append(zoom)
# Add the traits inspector tool to the container
#
# self.plot_container.tools.append(TraitsTool( self.plot_container ))
self.line_plot.tools.append(PanTool(self.line_plot))
self.line_plot.overlays.append(ZoomTool(self.line_plot))
# Legend
lgnd = adapter.legend_labels[i]
plots[lgnd] = self.line_plot
# change the color of the curves
i = i + 1
legend = Legend(component=self.plot_container, padding=10, align="ul")
legend.tools.append(LegendTool(legend, drag_button="right"))
self.plot_container.overlays.append(legend)
# Set the list of plots on the legend
legend.plots = plots
# Add the title at the top
self.plot_container.overlays.append(
PlotLabel(adapter.title, component=self.plot_container, font="swiss 16", overlay_position="top")
)
