def _plot_default(self):
plot = Plot(self.plot_data)
plot.x_axis = None
plot.y_axis = None
plot.x_grid = None
plot.y_grid = None
plot.padding = 0
plot.plot(('x', 'image_histogram'), render_style='connectedhold')
plot.plot(('x', 'mapped_histogram'), type='filled_line', fill_color='yellow',
render_style='connectedhold', name='mapped_histogram')
intercept_tool = AttributeDragTool(component=plot, model=self.unit_map,
x_attr='intercept')
slope_tool = AttributeDragTool(component=plot, model=self.unit_map,
x_attr='slope', modifier_keys=set(['shift']))
gamma_tool = AttributeDragTool(component=plot, model=self.unit_map,
x_attr='gamma', modifier_keys=set(['control']))
plot.tools += [intercept_tool, slope_tool, gamma_tool]
intercept_overlay = SimpleInspectorOverlay(component=plot, align='ul',
inspector=intercept_tool,
field_formatters=[[basic_formatter('Intercept', 2)]]
)
slope_overlay = SimpleInspectorOverlay(component=plot, align='ul',
inspector=slope_tool,
field_formatters=[[basic_formatter('Slope', 2)]]
)
gamma_overlay = SimpleInspectorOverlay(component=plot, align='ul',
inspector=gamma_tool,
field_formatters=[[basic_formatter('Gamma', 2)]]
)
plot.overlays += [intercept_overlay, slope_overlay, gamma_overlay]
return plot
def _plot_default(self):
plot = Plot(self.plot_data)
plot.x_axis = None
plot.y_axis = None
plot.x_grid = None
plot.y_grid = None
plot.padding = 0
plot.plot('image_histogram')
plot.plot('mapped_histogram', type='filled_line', fill_color='yellow')
return plot
def _plot_default(self):
plot = Plot(self.plot_data)
plot.x_axis = None
plot.y_axis = None
plot.x_grid = None
plot.y_grid = None
plot.padding = 0
plot.plot(('x', 'image_histogram'), render_style='connectedhold')
plot.plot(('x', 'mapped_histogram'), type='filled_line', fill_color='yellow',
render_style='connectedhold', name='mapped_histogram')
intercept_tool = AttributeDragTool(component=plot,
model=self.unit_map, x_attr='intercept')
plot.tools.append(intercept_tool)
return plot
def _TracePlot_default(self):
plot = Plot(self.TraceData, width=500, height=500, resizable='hv')
plot.plot(('t', 'y8'),
type='line',
line_style='solid',
color=0xFFFFFF,
line_width=2,
render_style='connectedpoints',
name='ch0 & ch1')
plot.bgcolor = scheme['background']
plot.value_range.low = 0.0
plot.x_grid = None
plot.y_grid = None
return plot
def _create_line_plot(self):
line_data = ArrayPlotData(frequency=np.array((0.,1.)), counts=np.array((0.,0.)), fit=np.array((0.,0.)))
line_plot = Plot(line_data, padding=8, padding_left=64, padding_bottom=32)
line_plot.plot(('frequency','counts'), style='line', color=scheme['data 1'], line_width=2)
line_plot.bgcolor = scheme['background']
line_plot.x_grid = None
line_plot.y_grid = None
line_plot.index_axis.title = 'Frequency [MHz]'
line_plot.value_axis.title = 'Fluorescence counts'
line_plot.value_range.low = 0.0
line_plot.tools.append(PanTool(line_plot))
line_plot.overlays.append(SimpleZoom(line_plot, enable_wheel=False))
self.line_data = line_data
self.line_plot = line_plot
def _plot_default(self):
plot = Plot(self.plot_data)
plot.x_axis = None
plot.y_axis = None
plot.x_grid = None
plot.y_grid = None
plot.padding = 0
plot.plot(("x", "image_histogram"), render_style="connectedhold")
plot.plot(
("x", "mapped_histogram"),
type="filled_line",
fill_color="yellow",
render_style="connectedhold",
name="mapped_histogram",
)
low_overlay = AttributeLineOverlay(component=plot, model=self.unit_map, x_attr="low", orientation="vertical")
high_overlay = AttributeLineOverlay(component=plot, model=self.unit_map, x_attr="high", orientation="vertical")
intercept_tool = AttributeDragTool(component=plot, model=self.unit_map, x_attr="intercept")
slope_tool = AttributeDragTool(
component=plot, model=self.unit_map, x_attr="slope", modifier_keys=set(["shift"])
)
gamma_tool = AttributeDragTool(
component=plot, model=self.unit_map, x_attr="gamma", modifier_keys=set(["control"])
)
plot.tools += [intercept_tool, slope_tool, gamma_tool]
intercept_overlay = SimpleInspectorOverlay(
component=plot, align="ul", inspector=intercept_tool, field_formatters=[[basic_formatter("Intercept", 2)]]
)
slope_overlay = SimpleInspectorOverlay(
component=plot, align="ul", inspector=slope_tool, field_formatters=[[basic_formatter("Slope", 2)]]
)
gamma_overlay = SimpleInspectorOverlay(
component=plot, align="ul", inspector=gamma_tool, field_formatters=[[basic_formatter("Gamma", 2)]]
)
plot.overlays += [intercept_overlay, slope_overlay, gamma_overlay, low_overlay, high_overlay]
return plot
def _create_plot_component():
army_lat = np.column_stack([army['start_lat'],
army['end_lat']]).reshape(-1)
army_lon = np.column_stack([army['start_lon'],
army['end_lon']]).reshape(-1)
plot_data = ArrayPlotData(
army_lon=army_lon,
army_lat=army_lat,
army_size=army['size'],
army_color=army['direction'] * army["group"],
towns_lat=towns['lat'],
towns_lon=towns['lon'],
towns=towns['town'],
temp_lon=temperatures['lon'],
temp=temperatures['temp'],
temp_date=temperatures['date'],
)
map_plot = Plot(plot_data)
map_plot.x_grid = None
map_plot.y_grid = None
map_plot.x_axis.orientation = 'top'
map_plot.x_axis.title = 'Longitude'
map_plot.y_axis.title = 'Latitude'
map_plot.title = "Minard's Map of Napoleon's Russian Campaign"
map_plot._title.overlay_position = "inside top"
map_plot._title.hjustify = "left"
map_plot._title.vjustify = "bottom"
map_plot.plot(
("army_lon", "army_lat", "army_color", "army_size"),
type="cmap_segment",
name="my_plot",
color_mapper=viridis,
border_visible=True,
bgcolor="white",
size_min=1.0,
size_max=128.0,
)
map_plot.plot(
("towns_lon", "towns_lat"),
type="scatter",
)
map_plot.plot(
("towns_lon", "towns_lat", "towns"),
type="text",
text_margin=4,
h_position='right',
text_offset=(4, 0),
)
map_plot.plot_1d(
('temp_lon'),
type='line_scatter_1d',
alpha=0.5,
line_style='dot',
)
map_plot.index_range.high_setting = 38
map_plot.index_range.low_setting = 23
map_plot.value_range.high_setting = 56.0
map_plot.value_range.low_setting = 53.5
map_plot.tools.extend([
PanTool(map_plot),
ZoomTool(map_plot),
])
temp_plot = Plot(plot_data, height=100)
temp_plot.index_range = map_plot.index_range
temp_plot.x_grid = None
temp_plot.x_axis = None
temp_plot.y_axis.orientation = 'right'
temp_plot.y_axis.title = u'Temp (°Re)'
temp_plot.plot(
('temp_lon', 'temp'),
type='line',
)
temp_plot.plot_1d(
('temp_lon'),
type='line_scatter_1d',
alpha=0.5,
line_style='dot',
)
temp_plot.plot_1d(
('temp_lon', 'temp_date'),
type='textplot_1d',
alpha=0.5,
line_style='dot',
alignment='bottom',
)
temp_plot.value_range.high_setting = 5
temp_plot.value_range.low_setting = -35
container = VPlotContainer(temp_plot, map_plot)
container.spacing = 0
map_plot.padding_bottom = 0
map_plot.padding_left = 70
map_plot.padding_right = 70
map_plot.padding_top = 50
temp_plot.padding_top = 0
temp_plot.padding_bottom = 15
temp_plot.padding_right = 70
temp_plot.padding_left = 70
temp_plot.height = 100
temp_plot.resizable = 'h'
return container
