def large_plot(n):
from bokeh.objects import (Plot, PlotContext, LinearAxis, Grid, Glyph,
ColumnDataSource, DataRange1d, PanTool,
WheelZoomTool, BoxZoomTool, BoxSelectTool,
BoxSelectionOverlay, ResizeTool,
PreviewSaveTool, ResetTool)
from bokeh.glyphs import Line
context = PlotContext()
objects = set([context])
for i in xrange(n):
source = ColumnDataSource(data=dict(x=[0, i + 1], y=[0, i + 1]))
xdr = DataRange1d(sources=[source.columns("x")])
ydr = DataRange1d(sources=[source.columns("y")])
plot = Plot(x_range=xdr, y_range=ydr, data_sources=[source])
xaxis = LinearAxis(plot=plot, dimension=0)
yaxis = LinearAxis(plot=plot, dimension=1)
xgrid = Grid(plot=plot, dimension=0)
ygrid = Grid(plot=plot, dimension=1)
tickers = [
xaxis.ticker, xaxis.formatter, yaxis.ticker, yaxis.formatter
]
renderer = Glyph(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=Line(x='x', y='y'))
plot.renderers.append(renderer)
pan = PanTool(plot=plot)
wheel_zoom = WheelZoomTool(plot=plot)
box_zoom = BoxZoomTool(plot=plot)
box_select = BoxSelectTool(plot=plot)
box_selection = BoxSelectionOverlay(tool=box_select)
resize = ResizeTool(plot=plot)
previewsave = PreviewSaveTool(plot=plot)
reset = ResetTool(plot=plot)
tools = [
pan, wheel_zoom, box_zoom, box_select, box_selection, resize,
previewsave, reset
]
plot.tools.append(tools)
context.children.append(plot)
objects |= set(
[source, xdr, ydr, plot, xaxis, yaxis, xgrid, ygrid, renderer] +
tickers + tools)
return context, objects
def map(self,
latitude=35.349,
longitude=-116.595,
zoom=17,
load=True,
title="Map"):
if load:
self.load_all()
x_range = Range1d()
y_range = Range1d()
plot = GMapPlot(x_range=x_range,
y_range=y_range,
center_lat=latitude,
center_lng=longitude,
zoom_level=zoom,
data_sources=[],
canvas_width=600,
canvas_height=600,
outer_width=600,
outer_height=600,
title=title)
select_tool = BoxSelectTool()
overlay = BoxSelectionOverlay(tool=select_tool)
plot.renderers.append(overlay)
plot.tools.append(select_tool)
xgrid = Grid(plot=plot, dimension=0)
ygrid = Grid(plot=plot, dimension=1)
pantool = PanTool(plot=plot)
zoomtool = ZoomTool(plot=plot)
plot.tools.extend([pantool, zoomtool])
self.add(plot, xgrid, ygrid, pantool, zoomtool, x_range, y_range,
select_tool, overlay)
self.cdx.plotlist.children.insert(0, plot)
self.cdx.activeplot = plot
self.cdx.plotlist._dirty = True
stored = self.store_all()
# print stored
return stored
x_range = Range1d()
y_range = Range1d()
plot = GMapPlot(x_range=x_range,
y_range=y_range,
center_lat=30.2861,
center_lng=-97.7394,
zoom_level=15,
data_sources=[],
canvas_width=600,
canvas_height=600,
outer_width=600,
outer_height=600,
title="Austin")
select_tool = SelectionTool()
overlay = BoxSelectionOverlay(tool=select_tool)
plot.renderers.append(overlay)
plot.tools.append(select_tool)
xgrid = Grid(plot=plot, dimension=0)
ygrid = Grid(plot=plot, dimension=1)
pantool = PanTool(plot=plot)
zoomtool = ZoomTool(plot=plot)
plot.tools.extend([pantool, zoomtool])
sess = session.PlotServerSession(username="******",
serverloc="http://localhost:5006",
userapikey="nokey")
sess.use_doc("maps")
sess.add(plot, xgrid, ygrid, pantool, zoomtool, x_range, y_range, select_tool,
source = ColumnDataSource()
source.add(x, name='x')
source.add(y, name='y')
source.add(2 * y, name='2y')
source.add(3 * y, name='3y')
hold()
scatter('x', 'y', source=source, tools="pan,zoom,resize")
scatter('x', '2y', source=source, tools="pan,zoom,resize")
scatter('x', '3y', source=source, color="green", tools="pan,zoom,resize")
plot = curplot()
tool = DataRangeBoxSelectionTool(plot=plot)
overlay = BoxSelectionOverlay(tool=tool)
plot.renderers.append(overlay)
plot.tools.append(tool)
plot._dirty = True
sess = plotting._config["session"]
sess.load_all_callbacks()
sess.add(tool)
sess.add(overlay)
tool.on_change("xselect", plot, "dummy")
tool.on_change("yselect", plot, "dummy")
sess.store_all()
sess.store_all_callbacks()
#execute this yourself, you should see the dummy callback fire if anything has changed
source = ColumnDataSource(data=dict(lat=[30.2861, 30.2855, 30.2869],
lon=[-97.7394, -97.7390, -97.7405],
fill=['orange', 'blue', 'green']))
circle = Circle(x="lon",
y="lat",
size=15,
fill_color="fill",
line_color="black")
plot.add_glyph(source, circle)
pan = PanTool()
wheel_zoom = WheelZoomTool()
box_select = BoxSelectTool()
plot.add_tools(pan, wheel_zoom, box_select)
overlay = BoxSelectionOverlay(tool=box_select)
plot.add_layout(overlay)
doc = Document()
doc.add(plot)
if __name__ == "__main__":
filename = "maps.html"
with open(filename, "w") as f:
f.write(file_html(doc, INLINE, "Google Maps Example"))
print("Wrote %s" % filename)
view(filename)
def create(self):
manufacturers = sorted(mpg["manufacturer"].unique())
models = sorted(mpg["model"].unique())
transmissions = sorted(mpg["trans"].unique())
drives = sorted(mpg["drv"].unique())
classes = sorted(mpg["class"].unique())
manufacturer_select = Select(title="Manufacturer:",
value="All",
options=["All"] + manufacturers)
manufacturer_select.on_change('value', self.on_manufacturer_change)
model_select = Select(title="Model:",
value="All",
options=["All"] + models)
model_select.on_change('value', self.on_model_change)
transmission_select = Select(title="Transmission:",
value="All",
options=["All"] + transmissions)
transmission_select.on_change('value', self.on_transmission_change)
drive_select = Select(title="Drive:",
value="All",
options=["All"] + drives)
drive_select.on_change('value', self.on_drive_change)
class_select = Select(title="Class:",
value="All",
options=["All"] + classes)
class_select.on_change('value', self.on_class_change)
columns = [
TableColumn(field="manufacturer",
header="Manufacturer",
type="autocomplete",
source=manufacturers),
TableColumn(field="model",
header="Model",
type="autocomplete",
source=models),
TableColumn(field="displ",
header="Displacement",
type="numeric",
format="0.00"),
TableColumn(field="year", header="Year", type="numeric"),
TableColumn(field="cyl", header="Cylinders", type="numeric"),
TableColumn(field="trans",
header="Transmission",
type="dropdown",
strict=True,
source=transmissions),
TableColumn(field="drv",
header="Drive",
type="autocomplete",
strict=True,
source=drives),
TableColumn(field="class",
header="Class",
type="autocomplete",
strict=True,
source=classes),
TableColumn(field="cty", header="City MPG", type="numeric"),
TableColumn(field="hwy", header="Highway MPG", type="numeric"),
]
handson_table = HandsonTable(source=self.source,
columns=columns,
sorting=True)
xdr = DataRange1d(sources=[self.source.columns("index")])
#xdr = FactorRange(factors=manufacturers)
ydr = DataRange1d(
sources=[self.source.columns("cty"),
self.source.columns("hwy")])
plot = Plot(title=None,
data_sources=[self.source],
x_range=xdr,
y_range=ydr,
plot_width=800,
plot_height=300)
xaxis = LinearAxis(plot=plot)
plot.below.append(xaxis)
yaxis = LinearAxis(plot=plot)
ygrid = Grid(plot=plot, dimension=1, ticker=yaxis.ticker)
plot.left.append(yaxis)
cty = Glyph(data_source=self.source,
glyph=Circle(x="index",
y="cty",
fill_color="#396285",
size=8,
fill_alpha=0.5,
line_alpha=0.5))
hwy = Glyph(data_source=self.source,
glyph=Circle(x="index",
y="hwy",
fill_color="#CE603D",
size=8,
fill_alpha=0.5,
line_alpha=0.5))
select_tool = BoxSelectTool(renderers=[cty, hwy], select_y=False)
plot.tools.append(select_tool)
overlay = BoxSelectionOverlay(tool=select_tool)
plot.renderers.extend([cty, hwy, ygrid, overlay])
controls = VBox(children=[
manufacturer_select, model_select, transmission_select,
drive_select, class_select
],
width=200)
top_panel = HBox(children=[controls, plot])
layout = VBox(children=[top_panel, handson_table])
return layout