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 trail_map(data):
lon = (min(data.lon) + max(data.lon))/2
lat = (min(data.lat) + max(data.lat))/2
map_options = GMapOptions(lng=lon, lat=lat, zoom=13)
plot = GMapPlot(title="%s - Trail Map" % title, map_options=map_options, plot_width=800, plot_height=800)
xaxis = LinearAxis()
plot.add_layout(xaxis, 'below')
yaxis = LinearAxis()
plot.add_layout(yaxis, 'left')
xgrid = Grid(plot=plot, dimension=0, ticker=xaxis.ticker, grid_line_dash="dashed", grid_line_color="gray")
ygrid = Grid(plot=plot, dimension=1, ticker=yaxis.ticker, grid_line_dash="dashed", grid_line_color="gray")
plot.renderers.extend([xgrid, ygrid])
hover = HoverTool(tooltips=dict(distance="@dist"))
plot.add_tools(hover, PanTool(), WheelZoomTool(), ResetTool(), BoxSelectTool())
line_source = ColumnDataSource(dict(x=data.lon, y=data.lat, dist=data.dist))
line = Line(x="x", y="y", line_color="blue", line_width=2)
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
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(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 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(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 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 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 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(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 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 = 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 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():
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 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 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):
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)
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 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 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 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(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 pyramid():
xdr = DataRange1d(sources=[
source_pyramid.columns("male"),
source_pyramid.columns("female")
])
ydr = DataRange1d(sources=[source_pyramid.columns("groups")])
plot = Plot(title=None,
x_range=xdr,
y_range=ydr,
plot_width=600,
plot_height=600)
xaxis = LinearAxis()
plot.add_layout(xaxis, 'below')
yaxis = LinearAxis(ticker=SingleIntervalTicker(interval=5))
plot.add_layout(yaxis, 'left')
plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))
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 = plot.add_glyph(source_pyramid, male_quad)
female_quad = Quad(left=0,
right="female",
bottom="groups",
top="shifted",
fill_color="#CFF09E")
female_quad_glyph = plot.add_glyph(source_pyramid, female_quad)
plot.add_layout(
Legend(
legends=dict(Male=[male_quad_glyph], Female=[female_quad_glyph])))
return plot
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
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 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 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 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
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 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())
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"))
plot.renderers.append(glyph_renderer)
plot.tools = [pantool, wheelzoomtool]
sess = session.HTMLFileSession("dateaxis.html")
sess.add(plot, recursive=True)
sess.plotcontext.children.append(plot)
sess.save(js="absolute", css="absolute")
sess.dumpjson(file="dateaxis.json")
print("Wrote %s" % sess.filename)
x = np.linspace(-2 * pi, 2 * pi, 1000)
y = sin(x)
z = cos(x)
source = ColumnDataSource(data=dict(x=x, y=y))
xdr = DataRange1d(sources=[source.columns("x")])
ydr = DataRange1d(sources=[source.columns("y")])
plot = Plot(x_range=xdr, y_range=ydr, min_border=50)
line_glyph = Line(x="x", y="y", line_color="blue")
plot.add_glyph(source, line_glyph)
plot.add_layout(LinearAxis(), 'below')
plot.add_layout(LinearAxis(), 'left')
pan = PanTool()
wheel_zoom = WheelZoomTool()
preview_save = PreviewSaveTool()
plot.add_tools(pan, wheel_zoom, preview_save)
doc = Document()
doc.add(plot)
if __name__ == "__main__":
filename = "line.html"
with open(filename, "w") as f:
f.write(file_html(doc, INLINE, "Line Glyph Example"))
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],
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"])
plot.renderers.append(renderer)
plot.renderers.append(renderer2)
plot.tools = [pantool, wheelzoomtool]
document.add(plot)
session.store_document(document)
link = session.object_link(document._plotcontext)
print("please visit %s to see plots" % link)
print("animating")
while True: