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 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 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
source = ColumnDataSource(data=dict(x=x, y=y, times=times))
xdr = DataRange1d(sources=[source.columns("times")])
ydr = DataRange1d(sources=[source.columns("y")])
circle = Circle(x="times", y="y", fill_color="red", size=5, line_color="black")
glyph_renderer = Glyph(
data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=circle,
)
plot = Plot(x_range=xdr, y_range=ydr, data_sources=[source], border=80)
xaxis = DatetimeAxis(plot=plot, dimension=0, location="min")
yaxis = LinearAxis(plot=plot, dimension=1, location="min")
pantool = PanTool(dataranges=[xdr, ydr], dimensions=["width", "height"])
wheelzoomtool = WheelZoomTool(dataranges=[xdr, ydr],
dimensions=("width", "height"))
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)
line2 = Line(x="dates", y="sunsets", line_color="red", line_width=2)
line2_glyph = Glyph(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=line2)
plot.renderers.append(line2_glyph)
text = Text(x="dates", y="times", text="texts", angle=0, text_align="center")
text_glyph = Glyph(data_source=text_source,
xdata_range=xdr,
ydata_range=ydr,
glyph=text)
plot.renderers.append(text_glyph)
xformatter = DatetimeTickFormatter(formats=dict(months=["%b %Y"]))
xaxis = DatetimeAxis(plot=plot, dimension=0, formatter=xformatter)
yaxis = DatetimeAxis(plot=plot, dimension=1)
xgrid = Grid(plot=plot, dimension=0, axis=xaxis)
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
legend = Legend(plot=plot,
legends={
"sunrise": [line1_glyph],
"sunset": [line2_glyph]
})
plot.renderers.append(legend)
doc = Document()
doc.add(plot)
if __name__ == "__main__":
plot.add_glyph(patch1_source, patch1)
patch2 = Patch(x="dates", y="times", fill_color="orange", fill_alpha=0.8)
plot.add_glyph(patch2_source, patch2)
line1 = Line(x="dates", y="sunrises", line_color="yellow", line_width=2)
line1_glyph = plot.add_glyph(source, line1)
line2 = Line(x="dates", y="sunsets", line_color="red", line_width=2)
line2_glyph = plot.add_glyph(source, line2)
text = Text(x="dates", y="times", text="texts", angle=0, text_align="center")
plot.add_glyph(text_source, text)
xformatter = DatetimeTickFormatter(formats=dict(months=["%b %Y"]))
xaxis = DatetimeAxis(formatter=xformatter)
plot.add_layout(xaxis, 'below')
yaxis = DatetimeAxis()
plot.add_layout(yaxis, 'left')
plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))
plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))
legend = Legend(legends=[("sunrise", [line1_glyph]), ("sunset", [line2_glyph])])
plot.add_layout(legend)
doc = Document()
doc.add(plot)
if __name__ == "__main__":
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:
f.write(file_html(doc, INLINE, "Date Axis Example"))
print("Wrote %s" % filename)
view(filename)
line2 = Line(x="dates", y="sunsets", line_color="red", line_width=2)
line2_glyph = Glyph(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=line2)
plot.renderers.append(line2_glyph)
text = Text(x="dates", y="times", text="texts", angle=0, text_align="center")
text_glyph = Glyph(data_source=text_source,
xdata_range=xdr,
ydata_range=ydr,
glyph=text)
plot.renderers.append(text_glyph)
xaxis = DatetimeAxis(plot=plot, dimension=0)
yaxis = DatetimeAxis(plot=plot, dimension=1)
xgrid = Grid(plot=plot, dimension=0, axis=xaxis)
ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
legend = Legend(plot=plot,
legends={
"sunrise": [line1_glyph],
"sunset": [line2_glyph]
})
plot.renderers.append(legend)
session = HTMLFileSession("daylight.html")
session.add_plot(plot)
if __name__ == "__main__":