def create_plot_element(self):
self.pd = ArrayPlotData(x=np.arange(self.data.size),
y=self.data,
posx=self.csr_pos,
posy=np.array([self.data[self.csr_pos]]))
plot = Plot(self.pd)
plot.plot(("x", "y"),
#type_trait="plot_type",
#type='line_scatter_1d',
#resizable='',
title='',
#x_label="Time",
y_label="Signal",
color=tuple(cbrewer[np.random.randint(0,10)]),
bgcolor="grey",
border_visible=True,
border_width=1,
#padding_bg_color="lightgray",
width=800,
height=380,
marker_size=2,
show_label=False)
plot.plot_1d("posx",
#type="scatter",
type="line_scatter_1d",
name="dot",
color="red",
#color_mapper=self._cmap(image_value_range),
marker="circle",
marker_size=4)
self.pd.set_data('x', np.arange(self.data.size))
self.pd.set_data('y', self.data)
self.pd.set_data('posx', self.csr_pos)
self.pd.set_data('posy', np.array([self.data[self.csr_pos]]))
self.plot = plot
def test_range_change(self):
arr = arange(10)
data = ArrayPlotData(x=arr, y=arr)
plot = Plot(data)
renderer_2d = plot.plot(('x', 'y'))[0]
renderer_1d = plot.plot_1d(('x'))[0]
new_range = DataRange1D()
old_range = plot.index_range
self.assertIsNot(old_range, new_range)
self.assertIs(renderer_2d.index_range, old_range)
self.assertIs(renderer_1d.index_range, old_range)
plot.index_range = new_range
self.assertIs(plot.index_range, new_range)
self.assertIs(renderer_2d.index_range, new_range)
self.assertIs(renderer_1d.index_range, new_range)
def _create_plot_component():
# Create some data
numpts = 50
x = sort(random(numpts))
y = random(numpts)
# Create a plot data object and give it this data
pd = ArrayPlotData()
pd.set_data("index", x)
pd.set_data("value", y)
# Create the plot
plot = Plot(pd, use_backbuffer=True, auto_grid=False)
plot.plot_1d(
'index',
type='line_scatter_1d',
orientation='h',
color='lightgrey',
line_style='dot',
)
plot.plot_1d(
'index',
type='scatter_1d',
orientation='h',
marker='plus',
alignment='bottom'
)
plot.plot_1d(
'value',
type='line_scatter_1d',
orientation='v',
color='lightgrey',
line_style='dot',
)
plot.plot_1d(
'value',
type='scatter_1d',
orientation='v',
marker='plus',
alignment='left'
)
plot.plot(("index", "value"),
type="scatter",
marker="square",
index_sort="ascending",
color="orange",
marker_size=3, #randint(1,5, numpts),
bgcolor="white",
use_backbuffer=True)
# Tweak some of the plot properties
plot.title = "1D Scatter Plots"
plot.line_width = 0.5
plot.padding = 50
# Attach some tools to the plot
plot.tools.append(PanTool(plot, constrain_key="shift"))
zoom = ZoomTool(component=plot, tool_mode="box", always_on=False)
plot.overlays.append(zoom)
return plot
def _create_plot_component():
# Create some data
numpts = 50
x = sort(random(numpts))
y = random(numpts)
# Create a plot data object and give it this data
pd = ArrayPlotData()
pd.set_data("index", x)
pd.set_data("value", y)
# Create the plot
plot = Plot(pd, use_backbuffer=True, auto_grid=False)
plot.plot_1d(
'index',
type='line_scatter_1d',
orientation='h',
color='lightgrey',
line_style='dot', )
plot.plot_1d(
'index',
type='scatter_1d',
orientation='h',
marker='plus',
alignment='bottom')
plot.plot_1d(
'value',
type='line_scatter_1d',
orientation='v',
color='lightgrey',
line_style='dot', )
plot.plot_1d(
'value',
type='scatter_1d',
orientation='v',
marker='plus',
alignment='left')
plot.plot(
("index", "value"),
type="scatter",
marker="square",
index_sort="ascending",
color="orange",
marker_size=3, #randint(1,5, numpts),
bgcolor="white",
use_backbuffer=True)
# Tweak some of the plot properties
plot.title = "1D Scatter Plots"
plot.line_width = 0.5
plot.padding = 50
# Attach some tools to the plot
plot.tools.append(PanTool(plot, constrain_key="shift"))
zoom = ZoomTool(component=plot, tool_mode="box", always_on=False)
plot.overlays.append(zoom)
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