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_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 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(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 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_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(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)
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 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 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(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):
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_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_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 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 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 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 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_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 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 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 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 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 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 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 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(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)