def _plot_default(self):
# Create a GridContainer to hold all of our plots: 2 rows, 3 columns
container = GridPlotContainer(shape=(2, 3),
spacing=(10, 5),
valign='top',
bgcolor='lightgray')
# Create x data
x = linspace(-5, 15.0, 100)
pd = ArrayPlotData(index=x)
# Plot some Bessel functions and add the plots to our container
for i in range(6):
data_name = 'y{}'.format(i)
pd.set_data(data_name, jn(i, x))
plot = Plot(pd)
plot.plot(('index', data_name),
color=COLOR_PALETTE[i],
line_width=3.0)
# Set each plot's aspect based on its position in the grid
plot.height = ((i % 3) + 1) * 50.0
plot.resizable = 'h'
# Add to the grid container
container.add(plot)
return container
def _v_plot_default(self):
plot = Plot(self.pd,
orientation="v",
resizable="v",
padding=20,
padding_bottom=160,
default_origin="top left")
plot.height = 600
plot.width = 100
plot.plot(("v_index", "v_value"))
return plot
def _h_plot_default(self):
plot = Plot(self.pd, resizable="h")
plot.height = 100
plot.padding = 20
plot.plot(("h_index", "h_value"))
return plot
def _brain_default(self):
plot = Plot(self.brain_data, padding=0)
plot.width = self.brain_voxels.shape[1]
plot.height = self.brain_voxels.shape[0]
plot.aspect_ratio = 1.
plot.index_axis.visible = False
plot.value_axis.visible = False
renderer = plot.img_plot("axial", colormap=gray)[0]
plot.color_mapper.range = DataRange1D(low=0., high=1.0)
plot.bgcolor = 'pink'
# Brain tools
plot.tools.append(PanTool(plot, drag_button="right"))
plot.tools.append(ZoomTool(plot))
imgtool = ImageInspectorTool(renderer)
renderer.tools.append(imgtool)
overlay = ImageInspectorOverlay(component=renderer, image_inspector=imgtool,
bgcolor="white", border_visible=True)
renderer.overlays.append(overlay)
# Brain track cursor
self.cursor = CursorTool2D(renderer, drag_button='left', color='red', line_width=2.0)
#self.cursor.on_trait_change(self.update_stackedhist, 'current_index')
self.cursor.current_positionyou = (0., 0.)
renderer.overlays.append(self.cursor)
# Brain colorbar
colormap = plot.color_mapper
colorbar = ColorBar(index_mapper=LinearMapper(range=colormap.range),
color_mapper=colormap,
plot=plot,
orientation='v',
resizable='v',
width=20,
padding=(30, 0, 0, 0))
colorbar.padding_top = plot.padding_top
colorbar.padding_bottom = plot.padding_bottom
# Noisy brain
plot2 = Plot(self.brain_data, padding=0)
plot2.width = self.brain_voxels.shape[1]
plot2.height = self.brain_voxels.shape[0]
plot2.aspect_ratio = 1.
plot2.index_axis.visible = False
plot2.value_axis.visible = False
renderer2 = plot2.img_plot("noisy_axial", colormap=gray)[0]
plot2.color_mapper.range = DataRange1D(low=0., high=1.0)
plot2.bgcolor = 'pink'
plot2.range2d = plot.range2d
# Brain_map tools
plot2.tools.append(PanTool(plot2, drag_button="right"))
plot2.tools.append(ZoomTool(plot2))
imgtool2 = ImageInspectorTool(renderer2)
renderer2.tools.append(imgtool2)
overlay2 = ImageInspectorOverlay(component=renderer2, image_inspector=imgtool2,
bgcolor="white", border_visible=True)
renderer2.overlays.append(overlay2)
# Brain_map track cursor
self.cursor2 = CursorTool2D(renderer2, drag_button='left', color='red', line_width=2.0)
#self.cursor2.on_trait_change(self.cursor2_changed, 'current_index')
self.cursor2.current_position = (0., 0.)
renderer2.overlays.append(self.cursor2)
# Brain_map colorbar
colormap2 = plot2.color_mapper
colorbar2 = ColorBar(index_mapper=LinearMapper(range=colormap2.range),
color_mapper=colormap2,
plot=plot2,
orientation='v',
resizable='v',
width=20,
padding=(30, 0, 0, 0))
colorbar2.padding_top = plot2.padding_top
colorbar2.padding_bottom = plot2.padding_bottom
# Create a container to position the plot and the colorbar side-by-side
container = HPlotContainer(use_backbuffer=True, padding=(0, 0, 10, 10))
container.add(plot)
container.add(colorbar)
container.bgcolor = "lightgray"
container2 = HPlotContainer(use_backbuffer=True, padding=(0, 0, 10, 10))
container2.add(plot2)
container2.add(colorbar2)
container2.bgcolor = "lightgray"
Hcontainer = HPlotContainer(use_backbuffer=True)
Hcontainer.add(container)
Hcontainer.add(container2)
Hcontainer.bgcolor = "lightgray"
return Hcontainer
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