def make_plot(xname, yname, xax=False, yax=False, text=None):
plot = Plot(
x_range=xdr, y_range=ydr, data_sources=[source], background_fill="#ffeedd",
width=250, height=250, border_fill='white', title="", border_symmetry="", min_border=2)
if xax:
xaxis = LinearAxis(plot=plot, dimension=0, location="bottom")
if yax:
yaxis = LinearAxis(plot=plot, dimension=1, location="left")
xgrid = Grid(plot=plot, dimension=0)
ygrid = Grid(plot=plot, dimension=1)
circle = Circle(x=xname, y=yname, fill_color="color", fill_alpha=0.2, size=4, line_color="color")
circle_renderer = Glyph(
data_source = source,
xdata_range = xdr,
ydata_range = ydr,
glyph = circle,
)
plot.renderers.append(circle_renderer)
plot.tools = [pan, zoom]
if text:
text = " ".join(text.split('_'))
text = Text(
x={'field':'xcenter', 'units':'screen'},
y={'field':'ycenter', 'units':'screen'},
text=text, angle=pi/4, text_font_style="bold", text_baseline="top",
text_color="#ffaaaa", text_alpha=0.5, text_align="center", text_font_size="28pt")
text_renderer = Glyph(
data_source=text_source,
xdata_range = xdr,
ydata_range = ydr,
glyph = text,
)
plot.data_sources.append(text_source)
plot.renderers.append(text_renderer)
return plot
def make_downloads_plot(self, source):
xdr = DataRange1d(sources=[source.columns("dates")])
ydr = DataRange1d(sources=[source.columns("downloads")])
title = "%s downloads" % self.modelform.installer
plot = Plot(title=title,
data_sources=[source],
x_range=xdr,
y_range=ydr,
width=600,
height=400)
line = Line(x="dates", y="downloads", line_color="blue")
line_glyph = Glyph(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=line)
plot.renderers.append(line_glyph)
circle = Circle(x="dates", y="downloads", fill_color="red")
circle_glyph = Glyph(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=circle)
plot.renderers.append(circle_glyph)
hover = HoverTool(plot=plot, tooltips=dict(downloads="@downloads"))
plot.tools.append(hover)
xformatter = DatetimeTickFormatter(formats=dict(months=["%b %Y"]))
yformatter = BasicTickFormatter(precision=None, use_scientific=False)
xaxis = DatetimeAxis(plot=plot, dimension=0, formatter=xformatter)
yaxis = LinearAxis(plot=plot, dimension=1, formatter=yformatter)
xgrid = Grid(plot=plot, dimension=0, axis=xaxis)
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
return plot
def make_plot(title, xname, yname):
plot = Plot(x_range=xdr,
y_range=ydr,
title=title,
plot_width=400,
plot_height=400,
border_fill='white',
background_fill='#e9e0db')
xaxis = LinearAxis(axis_line_color=None)
plot.add_layout(xaxis, 'below')
yaxis = LinearAxis(axis_line_color=None)
plot.add_layout(yaxis, 'left')
plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))
plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))
line = Line(x='x', y='y', line_color="#666699", line_width=2)
plot.add_glyph(lines_source, line)
circle = Circle(x=xname,
y=yname,
size=12,
fill_color="#cc6633",
line_color="#cc6633",
fill_alpha=0.5)
plot.add_glyph(circles_source, circle)
return plot
def make_plot():
xdr = DataRange1d(sources=[source.columns("dates")])
ydr = DataRange1d(sources=[source.columns("downloads")])
plot = Plot(title="Product downloads",
x_range=xdr,
y_range=ydr,
plot_width=400,
plot_height=400)
line = Line(x="dates", y="downloads", line_color="blue")
plot.add_glyph(source, line)
circle = Circle(x="dates", y="downloads", fill_color="red")
plot.add_glyph(source, circle)
xaxis = DatetimeAxis()
plot.add_layout(xaxis, 'below')
yaxis = LinearAxis()
plot.add_layout(yaxis, 'left')
plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))
plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))
plot.add_tools(HoverTool(tooltips=dict(downloads="@downloads")))
return plot, source
def make_plot():
source = ColumnDataSource(
dict(
dates=[date(2014, 3, i) for i in [1, 2, 3, 4, 5]],
downloads=[100, 27, 54, 64, 75],
))
xdr = DataRange1d(sources=[source.columns("dates")])
ydr = DataRange1d(sources=[source.columns("downloads")])
plot = Plot(title="Product downloads",
data_sources=[source],
x_range=xdr,
y_range=ydr,
width=400,
height=400)
line = Line(x="dates", y="downloads", line_color="blue")
line_glyph = Glyph(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=line)
plot.renderers.append(line_glyph)
circle = Circle(x="dates", y="downloads", fill_color="red")
circle_glyph = Glyph(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=circle)
plot.renderers.append(circle_glyph)
hover = HoverTool(plot=plot, tooltips=dict(downloads="@downloads"))
plot.tools.append(hover)
xaxis = DatetimeAxis(plot=plot, dimension=0)
yaxis = LinearAxis(plot=plot, dimension=1)
xgrid = Grid(plot=plot, dimension=0, axis=xaxis)
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
return plot, source
def test_Circle():
marker = Circle()
yield check_marker, marker
assert marker.radius == None
yield check_fill, marker
yield check_line, marker
yield check_props, marker, ["radius"], MARKER, FILL, LINE
def make_plot(xname, yname, xax=False, yax=False, text=None):
plot = Plot(x_range=xdr,
y_range=ydr,
background_fill="#efe8e2",
border_fill='white',
title="",
min_border=2,
border_symmetry=None,
plot_width=250,
plot_height=250)
circle = Circle(x=xname,
y=yname,
fill_color="color",
fill_alpha=0.2,
size=4,
line_color="color")
plot.add_glyph(source, circle)
xticker = BasicTicker()
if xax:
xaxis = LinearAxis()
plot.add_layout(xaxis, 'below')
xticker = xaxis.ticker
plot.add_layout(Grid(dimension=0, ticker=xticker))
yticker = BasicTicker()
if yax:
yaxis = LinearAxis()
plot.add_layout(yaxis, 'left')
yticker = yaxis.ticker
plot.add_layout(Grid(dimension=1, ticker=yticker))
plot.add_tools(PanTool(), WheelZoomTool())
if text:
text = " ".join(text.split('_'))
text = Text(x={
'field': 'xcenter',
'units': 'screen'
},
y={
'field': 'ycenter',
'units': 'screen'
},
text=[text],
angle=pi / 4,
text_font_style="bold",
text_baseline="top",
text_color="#ffaaaa",
text_alpha=0.7,
text_align="center",
text_font_size="28pt")
plot.add_glyph(text_source, text)
return plot
def large_plot():
source = ColumnDataSource(data=dict(x=[0, 1], y=[0, 1]))
xdr = Range1d(start=0, end=1)
xdr.tags.append("foo")
xdr.tags.append("bar")
ydr = Range1d(start=10, end=20)
ydr.tags.append("foo")
plot = Plot(x_range=xdr, y_range=ydr)
ydr2 = Range1d(start=0, end=100)
plot.extra_y_ranges = {"liny": ydr2}
circle = Circle(x="x", y="y", fill_color="red", size=5, line_color="black")
plot.add_glyph(source, circle, name="mycircle")
line = Line(x="x", y="y")
plot.add_glyph(source, line, name="myline")
rect = Rect(x="x", y="y", width=1, height=1, fill_color="green")
plot.add_glyph(source, rect, name="myrect")
plot.add_layout(DatetimeAxis(), 'below')
plot.add_layout(LogAxis(), 'left')
plot.add_layout(LinearAxis(y_range_name="liny"), 'left')
plot.add_layout(Grid(dimension=0), 'left')
plot.add_layout(Grid(dimension=1), 'left')
plot.add_tools(
BoxZoomTool(),
PanTool(),
PreviewSaveTool(),
ResetTool(),
ResizeTool(),
WheelZoomTool(),
)
return plot
def make_plot(title, xname, yname):
plot = Plot(x_range=xdr,
y_range=ydr,
data_sources=[lines_source, circles_source],
title=title,
width=400,
height=400,
border_fill='white',
background_fill='#e9e0db')
xaxis = LinearAxis(plot=plot,
dimension=0,
location="bottom",
axis_line_alpha=0)
yaxis = LinearAxis(plot=plot,
dimension=1,
location="left",
axis_line_alpha=0)
xgrid = Grid(plot=plot, dimension=0)
ygrid = Grid(plot=plot, dimension=1)
line_renderer = GlyphRenderer(
data_source=lines_source,
xdata_range=xdr,
ydata_range=ydr,
glyph=Line(x='x', y='y', line_color="#666699", line_width=2),
)
plot.renderers.append(line_renderer)
circle_renderer = GlyphRenderer(
data_source=circles_source,
xdata_range=xdr,
ydata_range=ydr,
glyph=Circle(x=xname,
y=yname,
radius=6,
fill_color="#cc6633",
line_color="#cc6633",
fill_alpha=0.5),
)
plot.renderers.append(circle_renderer)
return plot, (line_renderer, circle_renderer, xaxis, yaxis, xgrid, ygrid)
def generate_embed_test():
"""this generates a new plot and uses the script inject to put it
into a page running this repeatedly will fill up your redis DB
quickly, but it allows quick iteration
"""
from numpy import pi, arange, sin, cos
import numpy as np
from bokeh.objects import (
Plot, DataRange1d, LinearAxis, Rule,
ColumnDataSource, GlyphRenderer,
PanTool, ZoomTool, PreviewSaveTool)
from bokeh.glyphs import Circle
from bokeh import session
x = arange(-2*pi, 2*pi, 0.1)
y = sin(x)
z = cos(x)
widths = np.ones_like(x) * 0.02
heights = np.ones_like(x) * 0.2
source = ColumnDataSource(data=dict(x=x,y=y,z=z,widths=widths,
heights=heights))
xdr = DataRange1d(sources=[source.columns("x")])
ydr = DataRange1d(sources=[source.columns("y")])
circle = Circle(x="x", y="y", fill="red", radius=5, line_color="black")
glyph_renderer = GlyphRenderer(
data_source = source,
xdata_range = xdr,
ydata_range = ydr,
glyph = circle)
pantool = PanTool(dataranges = [xdr, ydr], dimensions=["width","height"])
#zoomtool = ZoomTool(dataranges=[xdr,ydr], dimensions=("width","height"))
previewtool = PreviewSaveTool(dataranges=[xdr,ydr], dimensions=("width","height"))
plot = Plot(x_range=xdr, y_range=ydr, data_sources=[source],
border= 80)
xaxis = LinearAxis(plot=plot, dimension=0)
yaxis = LinearAxis(plot=plot, dimension=1)
xgrid = Rule(plot=plot, dimension=0)
ygrid = Rule(plot=plot, dimension=1)
plot.renderers.append(glyph_renderer)
plot.tools = [pantool, previewtool]
sess = session.PlotServerSession(
username="******",
serverloc="http://localhost:5006", userapikey="nokey")
sess.use_doc("glyph2")
sess.add(plot, glyph_renderer, xaxis, yaxis, xgrid, ygrid, source,
xdr, ydr, pantool, previewtool)
sess.plotcontext.children.append(plot)
sess.plotcontext._dirty = True
# not so nice.. but set the model doens't know
# that we appended to children
sess.store_all()
if app.debug:
slug = hemlib.slug_json()
static_js = hemlib.slug_libs(app, slug['libs'])
hemsource = os.path.join(app.static_folder, "coffee")
hem_js = hemlib.coffee_assets(hemsource, "localhost", 9294)
hemsource = os.path.join(app.static_folder, "vendor",
"bokehjs", "coffee")
hem_js += hemlib.coffee_assets(hemsource, "localhost", 9294)
else:
static_js = ['/bokeh/static/js/application.js']
hem_js = []
return render_template("generate_embed_test.html", jsfiles=static_js, hemfiles=hem_js,
plot_scr=plot.script_inject())
from bokeh.glyphs import Circle
from bokeh import session
x = arange(-2 * pi, 2 * pi, 0.1)
y = sin(x)
# Create an array of times, starting at the current time, and extending
# for len(x) number of hours.
times = np.arange(len(x)) * 3600000 + time.time()
source = ColumnDataSource(data=dict(x=x, y=y, times=times))
xdr = DataRange1d(sources=[source.columns("times")])
ydr = DataRange1d(sources=[source.columns("y")])
circle = Circle(x="times", y="y", fill_color="red", size=5, line_color="black")
glyph_renderer = Glyph(
data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=circle,
)
plot = Plot(x_range=xdr, y_range=ydr, data_sources=[source], border=80)
xaxis = DatetimeAxis(plot=plot, dimension=0, location="min")
yaxis = LinearAxis(plot=plot, dimension=1, location="min")
pantool = PanTool(dataranges=[xdr, ydr], dimensions=["width", "height"])
wheelzoomtool = WheelZoomTool(dataranges=[xdr, ydr],
dimensions=("width", "height"))
source = ColumnDataSource(
data=dict(x=x, y=y, z=z, widths=widths, heights=heights))
#source = ObjectArrayDataSource(
# data = [
# {'x' : 1, 'y' : 5, 'z':3},
# {'x' : 2, 'y' : 4, 'z':3, 'radius':10},
# {'x' : 3, 'y' : 3, 'z':3, 'fill':"blue"},
# {'x' : 4, 'y' : 2, 'z':3},
# {'x' : 5, 'y' : 1, 'z':3},
# ])
xdr = DataRange1d(sources=[source.columns("x")])
ydr = DataRange1d(sources=[source.columns("y")])
circle = Circle(x="x", y="y", fill_color="red", radius="z", line_color="black")
glyph_renderer = GlyphRenderer(
data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=circle,
)
pantool = PanTool(dataranges=[xdr, ydr], dimensions=["width", "height"])
zoomtool = ZoomTool(dataranges=[xdr, ydr], dimensions=("width", "height"))
plot = Plot(x_range=xdr, y_range=ydr, data_sources=[source], border=80)
xaxis = LinearAxis(plot=plot, dimension=0, location="min")
yaxis = LinearAxis(plot=plot, dimension=1, location="min")
xgrid = Grid(plot=plot, dimension=0)
def setUp(self):
from bokeh.glyphs import Circle
self.test_circle = Circle()
y = sin(x)
r = (cos(x)+1) * 6 + 6
source = ColumnDataSource(
data=dict(
x=x,
y=y,
r=r,
)
)
xdr = DataRange1d(sources=[source.columns("x")])
ydr = DataRange1d(sources=[source.columns("y")])
circle = Circle(x="x", y="y", fill_color="red", radius={"field": "r", "units": "screen"}, line_color="black")
glyph_renderer = Glyph(
data_source = source,
xdata_range = xdr,
ydata_range = ydr,
glyph = circle,
)
pantool = PanTool(dimensions=["width", "height"])
wheelzoomtool = WheelZoomTool(dimensions=["width", "height"])
plot = Plot(x_range=xdr, y_range=ydr, data_sources=[source], min_border=80)
xaxis = LinearAxis(plot=plot, dimension=0, location="min")
yaxis = LinearAxis(plot=plot, dimension=1, location="min")
renderer = Glyph(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=glyph)
plot.renderers.append(renderer)
start_angle = pi + pi / 4
end_angle = -pi / 4
max_kmh = 250
max_mph = max_kmh * 0.621371
major_step, minor_step = 25, 5
add_glyph(Circle(x=0, y=0, radius=1.00, fill_color="white",
line_color="black"))
add_glyph(Circle(x=0, y=0, radius=0.05, fill_color="gray", line_color="black"))
add_glyph(
Text(x=0,
y=+0.15,
angle=0,
text=["km/h"],
text_color="red",
text_align="center",
text_baseline="bottom",
text_font_style="bold"))
add_glyph(
Text(x=0,
y=-0.15,
angle=0,
"#2c7fb8", "rgba(120, 230, 150, 0.5)"
]))
xdr = DataRange1d(sources=[source.columns("x")])
ydr = DataRange1d(sources=[source.columns("y")])
circle = Circle(
x="x",
y="y",
size=15,
# Set the fill color to be dependent on the "color" field of the
# datasource. If the field is missing, then the default value is
# used. Since no explicit default is provided, this picks up the
# default in FillProps, which is "gray".
fill_color="color",
# An alternative form that explicitly sets a default value:
#fill_color={"default": "red", "field": "color"},
# Note that line_color is set to a fixed value. This can be any of
# the SVG named 147 colors, or a hex color string starting with "#",
# or a string "rgb(r,g,b)" or "rgba(r,g,b,a)".
# Any other string will be interpreted as a field name to look up
# on the datasource.
line_color="black")
glyph_renderer = Glyph(
data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=circle,
data=dict(
petal_length=flowers['petal_length'],
petal_width=flowers['petal_width'],
sepal_length=flowers['sepal_length'],
sepal_width=flowers['sepal_width'],
color=flowers['color']
)
)
xdr = DataRange1d(sources=[source.columns("petal_length")])
ydr = DataRange1d(sources=[source.columns("petal_width")])
plot = Plot(x_range=xdr, y_range=ydr, min_border=80, title="Iris Data")
circle = Circle(
x="petal_length", y="petal_width", size=10,
fill_color="color", fill_alpha=0.2, line_color="color"
)
plot.add_glyph(source, circle)
xaxis = LinearAxis(axis_label="petal length", bounds=(1,7), major_tick_in=0)
plot.add_layout(xaxis, 'below')
yaxis = LinearAxis(axis_label="petal width", bounds=(0,2.5), major_tick_in=0)
plot.add_layout(yaxis, 'left')
plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))
plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))
plot.add_tools(PanTool(), WheelZoomTool())
doc = Document()
map_options = GMapOptions(lat=30.2861, lng=-97.7394, zoom=15)
plot = GMapPlot(x_range=x_range,
y_range=y_range,
map_options=map_options,
title="Austin")
plot.map_options.map_type = "hybrid"
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)
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
colormap = {'setosa': 'red', 'versicolor': 'green', 'virginica': 'blue'}
flowers['color'] = flowers['species'].map(lambda x: colormap[x])
source = ColumnDataSource(data=dict(petal_length=flowers['petal_length'],
petal_width=flowers['petal_width'],
sepal_length=flowers['sepal_length'],
sepal_width=flowers['sepal_width'],
color=flowers['color']))
xdr = DataRange1d(sources=[source.columns("petal_length")])
ydr = DataRange1d(sources=[source.columns("petal_width")])
circle = Circle(x="petal_length",
y="petal_width",
fill_color="color",
fill_alpha=0.2,
radius=5,
line_color="color")
glyph_renderer = GlyphRenderer(
data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=circle,
)
plot = Plot(x_range=xdr,
y_range=ydr,
data_sources=[source],
border=80,
title="Iris Data")
line_color="#F4A582",
line_width=3)),
("wedge",
Wedge(x="x",
y="y",
radius=screen(15),
start_angle=0.6,
end_angle=4.1,
fill_color="#B3DE69")),
]
markers = [
("circle",
Circle(x="x",
y="y",
radius=0.1,
radius_units="data",
fill_color="#3288BD")),
("circle_x",
CircleX(x="x", y="y", size="sizes", line_color="#DD1C77",
fill_color=None)),
("circle_cross",
CircleCross(x="x",
y="y",
size="sizes",
line_color="#FB8072",
fill_color=None,
line_width=2)),
("square", Square(x="x", y="y", size="sizes", fill_color="#74ADD1")),
("square_x",
SquareX(x="x",
)
from bokeh.resources import INLINE
x = arange(-2*pi, 2*pi, 0.1)
y = sin(x)
y2 = linspace(0, 100, len(y))
source = ColumnDataSource(
data=dict(x=x, y=y, y2=y2)
)
plot = Plot(x_range=Range1d(start=-6.5, end=6.5), y_range=Range1d(start=-1.1, end=1.1), min_border=80)
plot.extra_y_ranges = {"foo": Range1d(start=0, end=100)}
circle = Circle(x="x", y="y", fill_color="red", size=5, line_color="black")
plot.add_glyph(source, circle)
plot.add_layout(LinearAxis(), 'below')
plot.add_layout(LinearAxis(), 'left')
circle2 = Circle(x="x", y="y2", fill_color="blue", size=5, line_color="black")
plot.add_glyph(source, circle2, y_range_name="foo")
plot.add_layout(LinearAxis(y_range_name="foo"), 'left')
plot.add_tools(PanTool(), WheelZoomTool())
doc = Document()
doc.add(plot)
ygrid = Grid(plot=plot, dimension=1)
pantool = PanTool(plot=plot)
wheelzoomtool = WheelZoomTool(plot=plot)
plot.tools.extend([pantool, wheelzoomtool])
# Plot some data on top
source = ColumnDataSource(data=dict(lat=[30.2861, 30.2855, 30.2869],
lon=[-97.7394, -97.7390, -97.7405],
fill=['orange', 'blue', 'green']))
circle_renderer = Glyph(data_source=source,
xdata_range=x_range,
ydata_range=y_range,
glyph=Circle(x="lon",
y="lat",
fill_color="fill",
size=15,
radius_units="screen",
line_color="black"))
plot.data_sources.append(source)
plot.renderers.append(circle_renderer)
try:
sess = session.PlotServerSession(serverloc="http://localhost:5006",
username="******",
userapikey="nokey")
except requests.exceptions.ConnectionError:
print(
"ERROR: This example requires the plot server. Please make sure plot server is running, by executing 'bokeh-server'"
)
sys.exit(1)
session.use_doc('glyph2_server')
session.load_document(document)
x = arange(-2*pi, 2*pi, 0.1)
y = sin(x)
r = (cos(x)+1) * 6 + 6
source = ColumnDataSource(data=dict(x=x, y=y, r=r))
xdr = DataRange1d(sources=[source.columns("x")])
ydr = DataRange1d(sources=[source.columns("y")])
plot = Plot(x_range=xdr, y_range=ydr, min_border=80)
circle = Circle(
x="x", y="y", size="r",
fill_color="red", line_color="black"
)
plot.add_glyph(source, circle)
xaxis = LinearAxis()
plot.add_layout(xaxis, 'below')
yaxis = LinearAxis()
plot.add_layout(yaxis, 'left')
plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))
plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))
plot.add_tools(PanTool(), WheelZoomTool())
document.add(plot)
def make_plot():
from numpy import pi, arange, sin, cos
import numpy as np
from bokeh.objects import (Plot, DataRange1d, LinearAxis, ColumnDataSource,
GlyphRenderer, PanTool, PreviewSaveTool)
from bokeh.glyphs import Circle
from bokeh import session
x = arange(-2 * pi, 2 * pi, 0.1)
y = sin(x)
z = cos(x)
widths = np.ones_like(x) * 0.02
heights = np.ones_like(x) * 0.2
source = ColumnDataSource(
data=dict(x=x, y=y, z=z, widths=widths, heights=heights))
xdr = DataRange1d(sources=[source.columns("x")])
ydr = DataRange1d(sources=[source.columns("y")])
circle = Circle(x="x", y="y", fill="red", radius=5, line_color="black")
glyph_renderer = GlyphRenderer(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=circle)
pantool = PanTool(dataranges=[xdr, ydr], dimensions=["width", "height"])
previewtool = PreviewSaveTool(dataranges=[xdr, ydr],
dimensions=("width", "height"))
plot = Plot(x_range=xdr, y_range=ydr, data_sources=[source], border=80)
xaxis = LinearAxis(plot=plot, dimension=0)
yaxis = LinearAxis(plot=plot, dimension=1)
plot.renderers.append(glyph_renderer)
plot.tools = [pantool, previewtool]
sess = session.PlotServerSession(username="******",
serverloc="http://localhost:5006",
userapikey="nokey")
sess.use_doc("glyph2")
sess.add(
plot,
glyph_renderer,
xaxis,
yaxis, # xgrid, ygrid,
source,
xdr,
ydr,
pantool,
previewtool)
sess.plotcontext.children.append(plot)
sess.plotcontext._dirty = True
# not so nice.. but set the model doens't know
# that we appended to children
sess.store_all()
return plot
