def make_plot(source, xname, yname, linecolor, xdr=None, ydr=None):
""" Returns a tuple (plot, [obj1...objN]); the former can be added
to a GridPlot, and the latter is added to the plotcontext.
"""
if xdr is None:
xdr = DataRange1d(sources=[source.columns(xname)])
if ydr is None:
ydr = DataRange1d(sources=[source.columns(yname)])
plot = Plot(x_range=xdr, y_range=ydr, data_sources=[source],
border=50)
xaxis = LinearAxis(plot=plot, dimension=0, location="bottom")
yaxis = LinearAxis(plot=plot, dimension=1, location="left")
pantool = PanTool(dataranges=[xdr,ydr], dimensions=["width","height"])
zoomtool = ZoomTool(dataranges=[xdr,ydr], dimensions=("width","height"))
renderer = Glyph(
data_source = source,
xdata_range = xdr,
ydata_range = ydr,
glyph = Line(x=xname, y=yname, linecolor=linecolor),
)
plot.renderers.append(renderer)
plot.tools = [pantool, zoomtool]
return plot, (renderer, xaxis, yaxis, source, xdr, ydr,
pantool, zoomtool)
def make_plot(name, glyph):
glyph_renderer = Glyph(
data_source = source,
xdata_range = xdr,
ydata_range = ydr,
glyph = glyph,
)
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)
yaxis = LinearAxis(plot=plot, dimension=1)
xgrid = Grid(plot=plot, dimension=0, axis=xaxis)
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
plot.renderers.append(glyph_renderer)
plot.tools = [pantool, wheelzoomtool]
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)
sess.use_doc(name)
sess.add_plot(plot)
sess.store_all()
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)
objs = []
if xax:
xaxis = LinearAxis(plot=plot, dimension=0, location="bottom")
objs.append(xaxis)
if yax:
yaxis = LinearAxis(plot=plot, dimension=1, location="left")
objs.append(yaxis)
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, radius=2, line_color="color")
circle_renderer = GlyphRenderer(
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=4, y=4, text=text, angle=pi/4, text_font_style="bold", text_baseline="top",
text_color="#ffaaaa", text_alpha=0.2, text_align="center", text_font_size="28pt")
text_renderer = GlyphRenderer(
data_source=source,
xdata_range = xdr,
ydata_range = ydr,
glyph = text,
)
plot.renderers.append(text_renderer)
objs.append(text_renderer)
return plot, objs + [circle_renderer, xgrid, ygrid]
def make_plot(name, glyph):
glyph_renderer = GlyphRenderer(
data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=glyph,
)
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)
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, zoomtool]
sess = session.PlotServerSession(username="******",
serverloc="http://localhost:5006",
userapikey="nokey")
sess.add(plot, glyph_renderer, xaxis, yaxis, xgrid, ygrid, source, xdr,
ydr, pantool, zoomtool)
sess.use_doc(name)
sess.store_all()
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_plot(name, glyph):
glyph_renderer = GlyphRenderer(data_source=source, xdata_range=xdr, ydata_range=ydr, glyph=glyph)
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)
yaxis = LinearAxis(plot=plot, dimension=1)
xgrid = Grid(plot=plot, dimension=0)
ygrid = Grid(plot=plot, dimension=1)
plot.renderers.append(glyph_renderer)
plot.tools = [pantool, zoomtool]
try:
sess = session.PlotServerSession(username="******", serverloc="http://localhost:5006", userapikey="nokey")
except requests.exceptions.ConnectionError as e:
print e
print "\nThis example requires the plot server. Please make sure plot server is running, via 'python runserver.py' in the bokeh root directory.\n"
sys.exit()
sess.add(plot, glyph_renderer, xaxis, yaxis, xgrid, ygrid, source, xdr, ydr, pantool, zoomtool)
sess.use_doc(name)
sess.plotcontext.children.append(plot)
sess.plotcontext._dirty = True
sess.store_all()
def make_plot(xname, yname, xax=False, yax=False, text=None):
plot = Plot(
x_range=xdr, y_range=ydr, data_sources=[source], background_fill="#efe8e2",
width=250, height=250, border_fill='white', title="", min_border=2, border_symmetry=None)
if xax:
xaxis = LinearAxis(plot=plot, dimension=0, location="bottom")
xgrid = Grid(plot=plot, dimension=0, axis=xaxis)
if yax:
yaxis = LinearAxis(plot=plot, dimension=1, location="left")
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
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=0.7, 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_plot(name, glyph):
glyph_renderer = Glyph(
data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=glyph,
)
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)
yaxis = LinearAxis(plot=plot, dimension=1)
xgrid = Grid(plot=plot, dimension=0, axis=xaxis)
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
plot.renderers.append(glyph_renderer)
plot.tools = [pantool, wheelzoomtool]
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)
sess.use_doc(name)
sess.add_plot(plot)
sess.store_all()
def job_loc_plot_builder():
xdr = FactorRange(factors=countries)
ydr = DataRange1d(sources=[source_country.columns("data_range")])
plot = Plot(title="Postings by Job Location (Country)",
data_sources=[source_country],
x_range=xdr,
y_range=ydr,
plot_width=760,
plot_height=500)
xaxis = CategoricalAxis(plot=plot,
dimension=0,
major_label_orientation=pi / 4.0)
yaxis = LinearAxis(plot=plot, dimension=1)
yaxis.major_tick_in = 0
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
quad = Rect(x="country",
y="count_half",
height="count",
width=0.9,
fill_color="#483D8B")
bars = Glyph(data_source=source_country,
xdata_range=xdr,
ydata_range=ydr,
glyph=quad)
plot.renderers.append(bars)
plot.background_fill = '#333333'
return plot
def weekday_builder():
dow = [
"Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday",
"Sunday"
]
xdr = FactorRange(factors=dow)
ydr = DataRange1d(sources=[source_dow.columns("data_range")])
plot = Plot(title="Weekday of Job Posting",
data_sources=[source_dow],
x_range=xdr,
y_range=ydr,
plot_width=760,
plot_height=500)
xaxis = CategoricalAxis(plot=plot,
dimension=0,
major_label_orientation=pi / 4.0)
yaxis = LinearAxis(plot=plot, dimension=1)
yaxis.major_tick_in = 0
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
quad = Rect(x="weekday",
y="weekday_half",
height="count",
width=0.9,
fill_color="#D9301A")
bars = Glyph(data_source=source_dow,
xdata_range=xdr,
ydata_range=ydr,
glyph=quad)
plot.renderers.append(bars)
plot.background_fill = '#686975'
return plot
def jobtype_builder():
jtypes = ["Half Time", "Full Time", "Hourly", "Temporary"]
xdr = FactorRange(factors=jtypes)
ydr = DataRange1d(sources=[source_jobtype.columns("data_range")])
plot = Plot(title="Job Type",
data_sources=[source_jobtype],
x_range=xdr,
y_range=ydr,
plot_width=760,
plot_height=500)
xaxis = CategoricalAxis(plot=plot,
dimension=0,
major_label_orientation=pi / 4.0)
yaxis = LinearAxis(plot=plot, dimension=1)
yaxis.major_tick_in = 0
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
quad = Rect(x="jobtypes",
y="jobtype_half",
height="count",
width=0.9,
fill_color="#33A6A4")
bars = Glyph(data_source=source_jobtype,
xdata_range=xdr,
ydata_range=ydr,
glyph=quad)
plot.renderers.append(bars)
plot.background_fill = '#686975'
return plot
def make_plot(name, glyph):
glyph_renderer = GlyphRenderer(
data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=glyph,
)
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)
yaxis = LinearAxis(plot=plot, dimension=1)
xgrid = Grid(plot=plot, dimension=0)
ygrid = Grid(plot=plot, dimension=1)
plot.renderers.append(glyph_renderer)
plot.tools = [pantool, zoomtool]
try:
sess = session.PlotServerSession(username="******",
serverloc="http://localhost:5006",
userapikey="nokey")
except requests.exceptions.ConnectionError as e:
print e
print "\nThis example requires the plot server. Please make sure plot server is running, via 'python runserver.py' in the bokeh root directory.\n"
sys.exit()
sess.add(plot, glyph_renderer, xaxis, yaxis, xgrid, ygrid, source, xdr,
ydr, pantool, zoomtool)
sess.use_doc(name)
sess.plotcontext.children.append(plot)
sess.plotcontext._dirty = True
sess.store_all()
def make_plot(name, glyph):
glyph_renderer = GlyphRenderer(
data_source = source,
xdata_range = xdr,
ydata_range = ydr,
glyph = glyph,
)
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)
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,zoomtool]
sess = session.PlotServerSession(
username="******",
serverloc="http://localhost:5006",
userapikey="nokey"
)
sess.add(plot, glyph_renderer, xaxis, yaxis, xgrid, ygrid, source, xdr, ydr, pantool, zoomtool)
sess.use_doc(name)
sess.store_all()
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
def classical_gear(module, large_teeth, small_teeth):
xdr = Range1d(start=-300, end=150)
ydr = Range1d(start=-100, end=100)
source = ColumnDataSource(data=dict(dummy=[0]))
plot = Plot(
title=None,
x_range=xdr, y_range=ydr,
plot_width=800, plot_height=800
)
plot.add_tools(PanTool(), WheelZoomTool(), ResetTool())
radius = pitch_radius(module, large_teeth)
angle = 0
glyph = Gear(
x=-radius, y=0,
module=module, teeth=large_teeth, angle=angle,
fill_color=fill_color[0], line_color=line_color
)
plot.add_glyph(source, glyph)
radius = pitch_radius(module, small_teeth)
angle = half_tooth(small_teeth)
glyph = Gear(
x=radius, y=0,
module=module, teeth=small_teeth, angle=angle,
fill_color=fill_color[1], line_color=line_color
)
plot.add_glyph(source, glyph)
return plot
def population():
xdr = FactorRange(factors=years)
ydr = DataRange1d(
sources=[source_known.columns("y"),
source_predicted.columns("y")])
plot = Plot(title=None,
x_range=xdr,
y_range=ydr,
plot_width=800,
plot_height=200)
plot.add_layout(CategoricalAxis(major_label_orientation=pi / 4), 'below')
line_known = Line(x="x", y="y", line_color="violet", line_width=2)
line_known_glyph = plot.add_glyph(source_known, line_known)
line_predicted = Line(x="x",
y="y",
line_color="violet",
line_width=2,
line_dash="dashed")
line_predicted_glyph = plot.add_glyph(source_predicted, line_predicted)
plot.add_layout(
Legend(orientation="bottom_right",
legends=dict(known=[line_known_glyph],
predicted=[line_predicted_glyph])))
return plot
def pyramid_plot(self):
from bokeh.objects import (Plot, DataRange1d, LinearAxis, Grid,
Legend, SingleIntervalTicker)
from bokeh.glyphs import Quad
xdr = DataRange1d(sources=[self.source_pyramid.columns("male"),
self.source_pyramid.columns("female")])
ydr = DataRange1d(sources=[self.source_pyramid.columns("groups")])
self.plot = Plot(title="Widgets", x_range=xdr, y_range=ydr,
plot_width=600, plot_height=600)
xaxis = LinearAxis()
self.plot.add_layout(xaxis, 'below')
yaxis = LinearAxis(ticker=SingleIntervalTicker(interval=5))
self.plot.add_layout(yaxis, 'left')
self.plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))
self.plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))
male_quad = Quad(left="male", right=0, bottom="groups", top="shifted",
fill_color="#3B8686")
male_quad_glyph = self.plot.add_glyph(self.source_pyramid, male_quad)
female_quad = Quad(left=0, right="female", bottom="groups", top="shifted",
fill_color="#CFF09E")
female_quad_glyph = self.plot.add_glyph(self.source_pyramid, female_quad)
self.plot.add_layout(Legend(legends=dict(Male=[male_quad_glyph],
Female=[female_quad_glyph])))
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():
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 sample_gear():
xdr = Range1d(start=-30, end=30)
ydr = Range1d(start=-30, end=30)
source = ColumnDataSource(data=dict(dummy=[0]))
plot = Plot(title=None,
data_sources=[source],
x_range=xdr,
y_range=ydr,
width=800,
height=800)
plot.tools.extend(
[PanTool(plot=plot),
WheelZoomTool(plot=plot),
ResetTool(plot=plot)])
glyph = Gear(x=0,
y=0,
module=5,
teeth=8,
angle=0,
shaft_size=0.2,
fill_color=fill_color[2],
line_color=line_color)
renderer = Glyph(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=glyph)
plot.renderers.append(renderer)
return plot
def make_punchcard_plot(self, source):
xdr = FactorRange(factors=source.data["hours"][::7])
ydr = FactorRange(factors=source.data["days"][:7])
title = "%s punchcard" % self.modelform.installer
plot = Plot(title=title,
data_sources=[source],
x_range=xdr,
y_range=ydr,
width=600,
height=400)
rect = Rect(x="hours",
y="days",
width=1,
height=1,
fill_color="red",
fill_alpha="percentages")
rect_glyph = Glyph(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=rect)
plot.renderers.append(rect_glyph)
hover = HoverTool(plot=plot, tooltips=dict(downloads="@counts"))
plot.tools.append(hover)
xaxis = CategoricalAxis(plot=plot, dimension=0)
yaxis = CategoricalAxis(plot=plot, dimension=1)
return plot
def make_tab(title, glyph):
plot = Plot(title=title, x_range=xdr, y_range=ydr)
plot.add_glyph(source, glyph)
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))
tab = Panel(child=plot, title=title)
return tab
def jobtype_builder():
jtypes = ["Half Time", "Full Time", "Hourly", "Temporary"]
xdr = FactorRange(factors=jtypes)
ydr = DataRange1d(sources=[source_jobtype.columns("data_range")])
plot = Plot(title="Job Type", data_sources=[source_jobtype],
x_range=xdr, y_range=ydr, plot_width=760, plot_height=500)
xaxis = CategoricalAxis(plot=plot, dimension=0, major_label_orientation=pi/4.0)
yaxis = LinearAxis(plot=plot, dimension=1)
yaxis.major_tick_in = 0
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
quad = Rect(x="jobtypes", y="jobtype_half",
height="count", width=0.9,
fill_color="#33A6A4")
bars = Glyph(data_source=source_jobtype, xdata_range=xdr,
ydata_range=ydr, glyph=quad)
plot.renderers.append(bars)
plot.background_fill = '#686975'
return plot
def epicyclic_gear(module, sun_teeth, planet_teeth):
xdr = Range1d(start=-150, end=150)
ydr = Range1d(start=-150, end=150)
source = ColumnDataSource(data=dict(dummy=[0]))
plot = Plot(
title=None,
x_range=xdr, y_range=ydr,
plot_width=800, plot_height=800
)
plot.add_tools(PanTool(), WheelZoomTool(), ResetTool())
annulus_teeth = sun_teeth + 2*planet_teeth
glyph = Gear(
x=0, y=0,
module=module, teeth=annulus_teeth, angle=0,
fill_color=fill_color[0], line_color=line_color, internal=True
)
plot.add_glyph(source, glyph)
glyph = Gear(
x=0, y=0,
module=module, teeth=sun_teeth, angle=0,
fill_color=fill_color[2], line_color=line_color
)
plot.add_glyph(source, glyph)
sun_radius = pitch_radius(module, sun_teeth)
planet_radius = pitch_radius(module, planet_teeth)
radius = sun_radius + planet_radius
angle = half_tooth(planet_teeth)
for i, j in [(+1, 0), (0, +1), (-1, 0), (0, -1)]:
glyph = Gear(
x=radius*i, y=radius*j,
module=module, teeth=planet_teeth, angle=angle,
fill_color=fill_color[1], line_color=line_color
)
plot.add_glyph(source, glyph)
return plot
def weekday_builder():
dow = ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday",
"Saturday", "Sunday"]
xdr = FactorRange(factors=dow)
ydr = DataRange1d(sources=[source_dow.columns("data_range")])
plot = Plot(title="Weekday of Job Posting", data_sources=[source_dow],
x_range=xdr, y_range=ydr, plot_width=760, plot_height=500)
xaxis = CategoricalAxis(plot=plot, dimension=0, major_label_orientation=pi/4.0)
yaxis = LinearAxis(plot=plot, dimension=1)
yaxis.major_tick_in = 0
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
quad = Rect(x="weekday", y="weekday_half",
height="count", width=0.9,
fill_color="#D9301A")
bars = Glyph(data_source=source_dow, xdata_range=xdr,
ydata_range=ydr, glyph=quad)
plot.renderers.append(bars)
plot.background_fill = '#686975'
return plot
def pyramid_plot(self):
from bokeh.objects import (Plot, DataRange1d, LinearAxis, Grid, Legend,
SingleIntervalTicker)
from bokeh.glyphs import Quad
xdr = DataRange1d(sources=[
self.source_pyramid.columns("male"),
self.source_pyramid.columns("female")
])
ydr = DataRange1d(sources=[self.source_pyramid.columns("groups")])
self.plot = Plot(title=None,
x_range=xdr,
y_range=ydr,
plot_width=600,
plot_height=600)
xaxis = LinearAxis()
self.plot.add_layout(xaxis, 'below')
yaxis = LinearAxis(ticker=SingleIntervalTicker(interval=5))
self.plot.add_layout(yaxis, 'left')
self.plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))
self.plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))
male_quad = Quad(left="male",
right=0,
bottom="groups",
top="shifted",
fill_color="#3B8686")
male_quad_glyph = self.plot.add_glyph(self.source_pyramid, male_quad)
female_quad = Quad(left=0,
right="female",
bottom="groups",
top="shifted",
fill_color="#CFF09E")
female_quad_glyph = self.plot.add_glyph(self.source_pyramid,
female_quad)
self.plot.add_layout(
Legend(legends=dict(Male=[male_quad_glyph],
Female=[female_quad_glyph])))
def make_plot(source, xname, yname, line_color, xdr=None, ydr=None):
""" Returns a tuple (plot, [obj1...objN]); the former can be added
to a GridPlot, and the latter is added to the plotcontext.
"""
if xdr is None:
xdr = DataRange1d(sources=[source.columns(xname)])
if ydr is None:
ydr = DataRange1d(sources=[source.columns(yname)])
plot = Plot(x_range=xdr, y_range=ydr, min_border=50)
plot.add_layout(LinearAxis(), 'below')
plot.add_layout(LinearAxis(), 'left')
plot.add_glyph(source, Line(x=xname, y=yname, line_color=line_color))
plot.add_tools(PanTool(), WheelZoomTool())
return plot
def make_tab(title, glyph):
plot = Plot(title=title, x_range=xdr, y_range=ydr)
plot.add_glyph(source, glyph)
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))
tab = Panel(child=plot, title=title)
return tab
def make_plot(name, glyph):
glyph_renderer = Glyph(
data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=glyph,
)
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)
yaxis = LinearAxis(plot=plot, dimension=1)
xgrid = Grid(plot=plot, dimension=0, axis=xaxis)
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
plot.renderers.append(glyph_renderer)
plot.tools = [pantool, wheelzoomtool]
document.add(plot)
session.store_document(document)
def make_plot(name, glyph):
glyph_renderer = Glyph(
data_source = source,
xdata_range = xdr,
ydata_range = ydr,
glyph = glyph,
)
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)
yaxis = LinearAxis(plot=plot, dimension=1)
xgrid = Grid(plot=plot, dimension=0, axis=xaxis)
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
plot.renderers.append(glyph_renderer)
plot.tools = [pantool, wheelzoomtool]
document.add(plot)
session.store_document(document)
def make_tab(title, glyph):
plot = Plot(title=title, data_sources=[source], x_range=xdr, y_range=ydr)
renderer = Glyph(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=glyph)
plot.renderers.append(renderer)
xaxis = LinearAxis(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)
tab = Panel(child=plot, title=title)
return tab
def make_plot(source, xname, yname, line_color, xdr=None, ydr=None):
""" Returns a tuple (plot, [obj1...objN]); the former can be added
to a GridPlot, and the latter is added to the plotcontext.
"""
if xdr is None:
xdr = DataRange1d(sources=[source.columns(xname)])
if ydr is None:
ydr = DataRange1d(sources=[source.columns(yname)])
plot = Plot(x_range=xdr, y_range=ydr, data_sources=[source], min_border=50)
xaxis = LinearAxis(plot=plot, dimension=0, location="bottom")
yaxis = LinearAxis(plot=plot, dimension=1, location="left")
pantool = PanTool(dimensions=["width", "height"])
wheelzoomtool = WheelZoomTool(dimensions=["width", "height"])
renderer = Glyph(
data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=Line(x=xname, y=yname, line_color=line_color),
)
plot.renderers.append(renderer)
plot.tools = [pantool, wheelzoomtool]
return plot
def line_advanced():
source = ColumnDataSource(data=dict(x=x,y=y,z=z,widths=widths,
heights=heights))
xdr = DataRange1d(sources=[source.columns("x")])
xdr2 = DataRange1d(sources=[source.columns("x")])
ydr = DataRange1d(sources=[source.columns("y")])
ydr2 = DataRange1d(sources=[source.columns("y")])
line_glyph = Line(x="x", y="y", line_color="blue")
renderer = GlyphRenderer(data_source = source, xdata_range = xdr,
ydata_range = ydr, glyph = line_glyph)
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=50)
plot.tools = [pantool, zoomtool]
plot.renderers.append(renderer)
#notice that these two have a differen y data range
renderer2 = GlyphRenderer(data_source = source, xdata_range = xdr,
ydata_range = ydr2, glyph = line_glyph)
plot2 = Plot(x_range=xdr, y_range=ydr2, data_sources=[source],
border=50)
plot2.renderers.append(renderer2)
#notice that these two have a differen y data range
renderer3 = GlyphRenderer(data_source = source, xdata_range = xdr2,
ydata_range = ydr, glyph = line_glyph)
plot3 = Plot(x_range=xdr2, y_range=ydr, data_sources=[source],
border=50)
plot3.renderers.append(renderer3)
#this is a dummy plot with no renderers
plot4 = Plot(x_range=xdr2, y_range=ydr, data_sources=[source],
border=50)
sess = session.HTMLFileSession("line_linked_advanced.html")
sess.add(plot, renderer, source, xdr, ydr, pantool, zoomtool)
sess.add(plot2, renderer2, ydr2, xdr2, renderer3, plot3, plot4)
grid = GridPlot(children=[[plot, plot2], [plot3, plot4 ]], name="linked_advanced")
sess.add(grid)
sess.plotcontext.children.append(grid)
sess.save(js="relative", css="relative", rootdir=os.path.abspath("."))
print "Wrote line_linked_advanced.html"
webbrowser.open("file://" + os.path.abspath("line_linked_advanced.html"))
def make_box_violin_plot(data, maxwidth=0.9):
"""
data: dict[Str -> List[Number]]
maxwidth: float
Maximum width of tornado plot within each factor/facet
Returns the plot object
"""
print("Plotting box violin graph")
plot_width = 500
plot_height = 350
df = pd.DataFrame(columns=["group", "width", "height", "texts", "cats"])
bar_height = 50
bins = [0, 1e1, 1e2, 1e3, 1e4, 1e5, 1e10]
# Compute histograms, while keeping track of max Y values and max counts
for i, (group, vals) in enumerate(data.iteritems()):
hist, edges = np.histogram(vals, bins)
df = df.append(pd.DataFrame(dict(
group = group,
width = np.log2(hist[1:]),
height = np.ones(len(hist) - 1),
texts = ["%d Nodes" % i for i in hist[1:-1]] + ["%d" % hist[-1]],
cats = [">10^%d" % np.log10(bin) for bin in bins[1:-1]],
)))
df.replace(-np.inf, 0)
# Normalize the widths
df["width"] *= (maxwidth / df["width"].max())
ds = ColumnDataSource(df)
xdr = FactorRange(factors=sorted(df["group"].unique()))
ydr = FactorRange(factors=list(df["cats"]))
plot = Plot(data_sources=[ds], x_range=xdr, y_range=ydr,
title="Degree Distribution (log scale)",
plot_width=plot_width, plot_height=plot_height,
tools=[])
yaxis = CategoricalAxis(plot=plot, location="left", axis_label="degree")
plot.left.append(yaxis)
glyph = Rect(x="group", y="cats", width="width", height="height",
fill_color="#3366ff")
text_glyph = Text(x="group", y="cats", text="texts", text_baseline="middle",
text_align="center", angle=0)
plot.renderers.append(Glyph(data_source=ds, xdata_range=xdr, ydata_range=ydr,
glyph=glyph))
plot.renderers.append(Glyph(data_source=ds, xdata_range=xdr, ydata_range=ydr,
glyph=text_glyph))
return plot
def make_plot(source, xname, yname, line_color, xdr=None, ydr=None):
""" Returns a tuple (plot, [obj1...objN]); the former can be added
to a GridPlot, and the latter is added to the plotcontext.
"""
if xdr is None:
xdr = DataRange1d(sources=[source.columns(xname)])
if ydr is None:
ydr = DataRange1d(sources=[source.columns(yname)])
plot = Plot(x_range=xdr, y_range=ydr, min_border=50)
plot.add_layout(LinearAxis(), 'below')
plot.add_layout(LinearAxis(), 'left')
plot.add_glyph(source, Line(x=xname, y=yname, line_color=line_color))
plot.add_tools(PanTool(), WheelZoomTool())
return plot
def job_loc_plot_builder():
xdr = FactorRange(factors=countries)
ydr = DataRange1d(sources=[source_country.columns("data_range")])
plot = Plot(title="Postings by Job Location (Country)",
data_sources=[source_country],
x_range=xdr, y_range=ydr, plot_width=760, plot_height=500)
xaxis = CategoricalAxis(plot=plot, dimension=0, major_label_orientation=pi/4.0)
yaxis = LinearAxis(plot=plot, dimension=1)
yaxis.major_tick_in = 0
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
quad = Rect(x="country", y="count_half",
height="count", width=0.9,
fill_color="#483D8B")
bars = Glyph(data_source=source_country, xdata_range=xdr,
ydata_range=ydr, glyph=quad)
plot.renderers.append(bars)
plot.background_fill = '#333333'
return plot
def make_plot(source, xname, yname, line_color, xdr=None, ydr=None):
""" Returns a tuple (plot, [obj1...objN]); the former can be added
to a GridPlot, and the latter is added to the plotcontext.
"""
if xdr is None:
xdr = DataRange1d(sources=[source.columns(xname)])
if ydr is None:
ydr = DataRange1d(sources=[source.columns(yname)])
plot = Plot(x_range=xdr, y_range=ydr, min_border=50)
xaxis = LinearAxis(plot=plot)
plot.below.append(xaxis)
yaxis = LinearAxis(plot=plot)
plot.left.append(yaxis)
pantool = PanTool(dimensions=["width", "height"])
wheelzoomtool = WheelZoomTool(dimensions=["width", "height"])
renderer = Glyph(
data_source = source,
xdata_range = xdr,
ydata_range = ydr,
glyph = Line(x=xname, y=yname, line_color=line_color),
)
plot.renderers.append(renderer)
plot.tools = [pantool, wheelzoomtool]
return plot
def classical_gear(module, large_teeth, small_teeth):
xdr = Range1d(start=-300, end=150)
ydr = Range1d(start=-100, end=100)
source = ColumnDataSource(data=dict(dummy=[0]))
plot = Plot(title=None,
data_sources=[source],
x_range=xdr,
y_range=ydr,
width=800,
height=800)
plot.tools.extend(
[PanTool(plot=plot),
WheelZoomTool(plot=plot),
ResetTool(plot=plot)])
radius = pitch_radius(module, large_teeth)
angle = 0
glyph = Gear(x=-radius,
y=0,
module=module,
teeth=large_teeth,
angle=angle,
fill_color=fill_color[0],
line_color=line_color)
renderer = Glyph(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=glyph)
plot.renderers.append(renderer)
radius = pitch_radius(module, small_teeth)
angle = half_tooth(small_teeth)
glyph = Gear(x=radius,
y=0,
module=module,
teeth=small_teeth,
angle=angle,
fill_color=fill_color[1],
line_color=line_color)
renderer = Glyph(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=glyph)
plot.renderers.append(renderer)
return plot
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 sample_gear():
xdr = Range1d(start=-30, end=30)
ydr = Range1d(start=-30, end=30)
source = ColumnDataSource(data=dict(dummy=[0]))
plot = Plot(title=None, x_range=xdr, y_range=ydr, plot_width=800, plot_height=800)
plot.add_tools(PanTool(), WheelZoomTool(), ResetTool())
glyph = Gear(x=0, y=0, module=5, teeth=8, angle=0, shaft_size=0.2, fill_color=fill_color[2], line_color=line_color)
plot.add_glyph(source, glyph)
return plot
def population():
xdr = FactorRange(factors=years)
ydr = DataRange1d(sources=[source_known.columns("y"), source_predicted.columns("y")])
plot = Plot(title=None, data_sources=[source_known, source_predicted], x_range=xdr, y_range=ydr, plot_width=800, plot_height=200)
xaxis = CategoricalAxis(plot=plot, dimension=0, major_label_orientation=pi/4)
# yaxis = LinearAxis(plot=plot, dimension=1, ...)
line_known = Line(x="x", y="y", line_color="violet", line_width=2)
line_known_glyph = Glyph(data_source=source_known, xdata_range=xdr, ydata_range=ydr, glyph=line_known)
plot.renderers.append(line_known_glyph)
line_predicted = Line(x="x", y="y", line_color="violet", line_width=2, line_dash="dashed")
line_predicted_glyph = Glyph(data_source=source_predicted, xdata_range=xdr, ydata_range=ydr, glyph=line_predicted)
plot.renderers.append(line_predicted_glyph)
legend = Legend(plot=plot, orientation="bottom_right", legends=dict(known=[line_known_glyph], predicted=[line_predicted_glyph]))
plot.renderers.append(legend)
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 population():
xdr = FactorRange(factors=years)
ydr = DataRange1d(sources=[source_known.columns("y"), source_predicted.columns("y")])
plot = Plot(title=None, x_range=xdr, y_range=ydr, plot_width=800, plot_height=200)
plot.add_layout(CategoricalAxis(major_label_orientation=pi/4), 'below')
line_known = Line(x="x", y="y", line_color="violet", line_width=2)
line_known_glyph = plot.add_glyph(source_known, line_known)
line_predicted = Line(x="x", y="y", line_color="violet", line_width=2, line_dash="dashed")
line_predicted_glyph = plot.add_glyph(source_predicted, line_predicted)
plot.add_layout(
Legend(
orientation="bottom_right",
legends=dict(known=[line_known_glyph], predicted=[line_predicted_glyph])
)
)
return plot
def pyramid():
xdr = DataRange1d(sources=[source_pyramid.columns("male"), source_pyramid.columns("female")])
ydr = DataRange1d(sources=[source_pyramid.columns("groups")])
plot = Plot(title=None, data_sources=[source_pyramid], x_range=xdr, y_range=ydr, plot_width=600, plot_height=600)
xaxis = LinearAxis(plot=plot, dimension=0)
yaxis = LinearAxis(plot=plot, dimension=1, ticker=SingleIntervalTicker(interval=5))
xgrid = Grid(plot=plot, dimension=0, axis=xaxis)
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
male_quad = Quad(left="male", right=0, bottom="groups", top="shifted", fill_color="blue")
male_quad_glyph = Glyph(data_source=source_pyramid, xdata_range=xdr, ydata_range=ydr, glyph=male_quad)
plot.renderers.append(male_quad_glyph)
female_quad = Quad(left=0, right="female", bottom="groups", top="shifted", fill_color="violet")
female_quad_glyph = Glyph(data_source=source_pyramid, xdata_range=xdr, ydata_range=ydr, glyph=female_quad)
plot.renderers.append(female_quad_glyph)
legend = Legend(plot=plot, legends=dict(Male=[male_quad_glyph], Female=[female_quad_glyph]))
plot.renderers.append(legend)
return plot
)
)
xdr = DataRange1d(sources=[source.columns("x")])
ydr = DataRange1d(sources=[source.columns("y")])
line_glyph = Line(x="x", y="y", line_color="blue")
renderer = Glyph(
data_source = source,
xdata_range = xdr,
ydata_range = ydr,
glyph = line_glyph
)
plot = Plot(x_range=xdr, y_range=ydr, min_border=50)
xaxis = LinearAxis(plot=plot)
plot.below.append(xaxis)
yaxis = LinearAxis(plot=plot)
plot.left.append(yaxis)
pantool = PanTool(dimensions=["width", "height"])
wheelzoomtool = WheelZoomTool(dimensions=["width", "height"])
previewsave = PreviewSaveTool(plot=plot)
objectexplorer = ObjectExplorerTool()
plot.renderers.append(renderer)
plot.tools = [pantool, wheelzoomtool, previewsave, objectexplorer]
doc = Document()
doc.add(plot)
from numpy import pi, arange, sin, linspace
from bokeh.browserlib import view
from bokeh.document import Document
from bokeh.embed import file_html
from bokeh.glyphs import Circle
from bokeh.objects import Plot, DataRange1d, LinearAxis, ColumnDataSource, Range1d, PanTool, WheelZoomTool
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")
def altitude_profile(data):
plot = Plot(title="%s - Altitude Profile" % title,
plot_width=800,
plot_height=400)
xaxis = LinearAxis(axis_label="Distance (km)")
plot.add_layout(xaxis, 'below')
yaxis = LinearAxis(axis_label="Altitude (m)")
plot.add_layout(yaxis, 'left')
xgrid = Grid(plot=plot, dimension=0, ticker=xaxis.ticker)
ygrid = Grid(plot=plot, dimension=1, ticker=yaxis.ticker)
plot.renderers.extend([xgrid, ygrid])
plot.add_tools(PanTool(), WheelZoomTool(), ResetTool(), BoxSelectTool())
X, Y = data.dist, data.alt
y0 = min(Y)
patches_source = ColumnDataSource(
dict(xs=[[X[i], X[i + 1], X[i + 1], X[i]] for i in range(len(X[:-1]))],
ys=[[y0, y0, Y[i + 1], Y[i]] for i in range(len(Y[:-1]))],
color=data.colors[:-1]))
patches = Patches(xs="xs", ys="ys", fill_color="color", line_color="color")
plot.add_glyph(patches_source, patches)
line_source = ColumnDataSource(dict(
x=data.dist,
y=data.alt,
))
line = Line(x='x', y='y', line_color="black", line_width=1)
plot.add_glyph(line_source, line)
plot.x_range = DataRange1d(sources=[line_source.columns("x")])
plot.y_range = DataRange1d(sources=[line_source.columns("y")])
return plot
)
)
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, size=10, line_color="color")
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], min_border=80, title="Iris Data")
xaxis = LinearAxis(plot=plot, dimension=0, location="min",
axis_label="petal length", bounds=(1,7), major_tick_in=0)
yaxis = LinearAxis(plot=plot, dimension=1, location="min",
axis_label="petal width", bounds=(0,2.5), major_tick_in=0)
xgrid = Grid(plot=plot, dimension=0, axis=xaxis)
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
pantool = PanTool(dimensions=["width", "height"])
wheelzoomtool = WheelZoomTool(dimensions=["width", "height"])
plot.renderers.append(glyph_renderer)
plot.tools = [pantool, wheelzoomtool]
sess = session.HTMLFileSession("iris.html")
sess.add_plot(plot)
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())
county_renderer = Glyph(
data_source = county_source,
xdata_range = xdr,
ydata_range = ydr,
glyph = county_patches,
)
state_renderer = Glyph(
data_source = state_source,
xdata_range = xdr,
ydata_range = ydr,
glyph = state_patches,
)
plot = Plot(x_range=xdr, y_range=ydr, data_sources=[state_source, county_source], min_border=0, border_fill="white", title="2009 Unemployment Data", width=1300, height=800)
resizetool = ResizeTool(plot=plot)
plot.renderers.append(county_renderer)
plot.renderers.append(state_renderer)
plot.tools = [resizetool]
sess = session.HTMLFileSession("choropleth.html")
sess.add_plot(plot)
if __name__ == "__main__":
sess.save()
print("Wrote %s" % sess.filename)
sess.view()
plot.title = "%s vs. taylor(%s, n=%d)" % (expr, expr, order)
legend.legends = [
("%s" % expr, [line_f_glyph]),
("taylor(%s)" % expr, [line_t_glyph]),
]
source.data = dict(x=x, fy=fy, ty=ty)
slider.value = order
session.store_document(document)
source = ColumnDataSource(data=dict(x=[], fy=[], ty=[]))
xdr = DataRange1d(sources=[source.columns("x")])
ydr = DataRange1d(sources=[source.columns("fy")])
plot = Plot(x_range=xdr, y_range=ydr, plot_width=800, plot_height=400)
line_f = Line(x="x", y="fy", line_color="blue", line_width=2)
line_f_glyph = plot.add_glyph(source, line_f)
plot.add_layout(line_f_glyph)
line_t = Line(x="x", y="ty", line_color="red", line_width=2)
line_t_glyph = plot.add_glyph(source, line_t)
plot.add_layout(line_t_glyph)
xaxis = LinearAxis()
plot.add_layout(xaxis, 'below')
yaxis = LinearAxis()
plot.add_layout(yaxis, 'left')
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")])
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())
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(name, glyph):
plot = Plot(x_range=xdr, y_range=ydr, min_border=80)
plot.add_glyph(source, glyph)
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)
session.store_document(document)
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")])
plot = Plot(x_range=xdr, y_range=ydr, min_border=80)
circle = Circle(x="times", y="y", fill_color="red", size=5, line_color="black")
plot.add_glyph(source, circle)
plot.add_layout(DatetimeAxis(), 'below')
plot.add_layout(DatetimeAxis(), 'left')
plot.add_tools(PanTool(), WheelZoomTool())
doc = Document()
doc.add(plot)
if __name__ == "__main__":
filename = "dateaxis.html"
with open(filename, "w") as f:
line_glyph = Line(x="x", y="y", line_color="blue")
line_glyph2 = Line(x="x", y="z", line_color="red")
renderer = Glyph(
data_source = source,
xdata_range = xdr,
ydata_range = ydr,
glyph = line_glyph
)
renderer2 = Glyph(
data_source = source,
xdata_range = xdr_static,
ydata_range = ydr,
glyph = line_glyph2
)
plot = Plot(x_range=xdr_static, y_range=ydr, data_sources=[source],
border=50)
xaxis = LinearAxis(plot=plot, dimension=0, location="bottom")
yaxis = LinearAxis(plot=plot, dimension=1, location="left")
pantool = PanTool(dataranges = [xdr, ydr], dimensions=["width","height"])
zoomtool = ZoomTool(dataranges=[xdr,ydr], dimensions=("width","height"))
plot.renderers.append(renderer)
plot.renderers.append(renderer2)
plot.tools = [pantool, zoomtool]
sess = session.PlotServerSession(
username="******",
serverloc="http://localhost:5006", userapikey="nokey")
sess.use_doc("line_animate")
sess.add(plot, renderer, renderer2, xaxis, yaxis,
session = Session()
session.use_doc('line_animate')
session.load_document(document)
x = linspace(-2*pi, 2*pi, 1000)
x_static = linspace(-2*pi, 2*pi, 1000)
y = sin(x)
z = cos(x)
source = ColumnDataSource(data=dict(x=x, y=y, z=z, x_static=x_static))
xdr = DataRange1d(sources=[source.columns("x")])
xdr_static = DataRange1d(sources=[source.columns("x_static")])
ydr = DataRange1d(sources=[source.columns("y")])
plot = Plot(x_range=xdr_static, y_range=ydr, min_border=50)
line_glyph = Line(x="x", y="y", line_color="blue")
plot.add_glyph(source, line_glyph)
line_glyph2 = Line(x="x", y="z", line_color="red")
plot.add_glyph(source, line_glyph2)
plot.add_layout(LinearAxis(), 'below')
plot.add_layout(LinearAxis(), 'left')
plot.add_tools(PanTool(), WheelZoomTool())
document.add(plot)
session.store_document(document)