class TestLine(unittest.TestCase):
def setUp(self):
from bokeh.glyphs import Line
self.test_line = Line()
def test_expected_properties(self):
expected_properties = set(['x', 'y'])
actual_properties = get_prop_set(type(self.test_line))
self.assertTrue(expected_properties.issubset(actual_properties))
def test_expected_values(self):
self.assertEqual(self.test_line.x, 'x')
self.assertEqual(self.test_line.y, 'y')
self.assertEqual(self.test_line.__view_model__, 'line')
def test_to_glyphspec(self):
expected = dict(GENERIC_XY_DICT)
expected.update(GENERIC_LINE_DICT)
expected['type'] = 'line'
self.assertEqual(self.test_line.to_glyphspec(), expected)
self.test_line.x = [50]
self.test_line.y = [51]
expected.update({
'x': {'units': 'data', 'value': [50]},
'y': {'units': 'data', 'value': [51]},
})
self.assertEqual(self.test_line.to_glyphspec(), expected)
class TestLine(unittest.TestCase):
def setUp(self):
from bokeh.glyphs import Line
self.test_line = Line()
def test_expected_properties(self):
expected_properties = set(["x", "y"])
actual_properties = get_prop_set(type(self.test_line))
self.assertTrue(expected_properties.issubset(actual_properties))
def test_expected_values(self):
self.assertEqual(self.test_line.x, "x")
self.assertEqual(self.test_line.y, "y")
self.assertEqual(self.test_line.__view_model__, "line")
def test_to_glyphspec(self):
expected = dict(GENERIC_XY_DICT)
expected.update(GENERIC_LINE_DICT)
expected["type"] = "line"
self.assertEqual(self.test_line.to_glyphspec(), expected)
self.test_line.x = [50]
self.test_line.y = [51]
expected.update({"x": {"units": "data", "value": [50]}, "y": {"units": "data", "value": [51]}})
self.assertEqual(self.test_line.to_glyphspec(), expected)
class TestLine(unittest.TestCase):
def setUp(self):
from bokeh.glyphs import Line
self.test_line = Line()
def test_expected_properties(self):
expected_properties = set(['x', 'y'])
actual_properties = get_prop_set(type(self.test_line))
self.assertTrue(expected_properties.issubset(actual_properties))
def test_expected_values(self):
self.assertEqual(self.test_line.x, 'x')
self.assertEqual(self.test_line.y, 'y')
self.assertEqual(self.test_line.__view_model__, 'line')
def test_to_glyphspec(self):
expected = dict(GENERIC_XY_DICT)
expected.update(GENERIC_LINE_DICT)
expected['type'] = 'line'
self.assertEqual(self.test_line.to_glyphspec(), expected)
self.test_line.x = [50]
self.test_line.y = [51]
expected.update({
'x': {
'units': 'data',
'value': [50]
},
'y': {
'units': 'data',
'value': [51]
},
})
self.assertEqual(self.test_line.to_glyphspec(), expected)
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():
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_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_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 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 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"))
class TestLine(unittest.TestCase):
def setUp(self):
from bokeh.glyphs import Line
self.test_line = Line()
def test_expected_properties(self):
expected_properties = set(['x','y'])
actual_properties = get_prop_set(type(self.test_line))
self.assertTrue(expected_properties.issubset(actual_properties))
def test_expected_values(self):
self.assertEqual(self.test_line.x,'x')
self.assertEqual(self.test_line.y,'y')
self.assertEqual(self.test_line.__view_model__,'line')
def test_to_glyphspec(self):
self.assertEqual(self.test_line.to_glyphspec(), {'line_color': {'value': 'black'}, 'y': {'units': 'data', 'field': 'y'}, 'type': 'line', 'x': {'units': 'data', 'field': 'x'}})
self.test_line.x = 50
self.test_line.y = 51
self.assertEqual(self.test_line.to_glyphspec(), {'y': {'units': 'data', 'value': 51}, 'x': {'units': 'data', 'value': 50}, 'type': 'line', 'line_color': {'value': 'black'}})
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 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_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 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 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 test_Line():
glyph = Line()
assert glyph.x == "x"
assert glyph.y == "y"
yield check_line, glyph
yield check_props, glyph, ["x", "y"], LINE
def setUp(self):
from bokeh.glyphs import Line
self.test_line = Line()
"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')
xgrid = Grid(dimension=0, ticker=xaxis.ticker)
ygrid = Grid(dimension=1, ticker=yaxis.ticker)
patch1 = Patch(x="dates", y="times", fill_color="skyblue", fill_alpha=0.8)
patch1_glyph = Glyph(data_source=patch1_source,
xdata_range=xdr,
ydata_range=ydr,
glyph=patch1)
plot.renderers.append(patch1_glyph)
patch2 = Patch(x="dates", y="times", fill_color="orange", fill_alpha=0.8)
patch2_glyph = Glyph(data_source=patch2_source,
xdata_range=xdr,
ydata_range=ydr,
glyph=patch2)
plot.renderers.append(patch2_glyph)
line1 = Line(x="dates", y="sunrises", line_color="yellow", line_width=2)
line1_glyph = Glyph(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=line1)
plot.renderers.append(line1_glyph)
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,
start_angle=0.6,
end_angle=4.1,
line_color="#BEAED4",
line_width=3)),
("bezier",
Bezier(x0="x",
y0="y",
x1="xp02",
y1="y",
cx0="xp01",
cy0="yp01",
cx1="xm01",
cy1="ym01",
line_color="#D95F02",
line_width=2)),
("line", Line(x="x", y="y", line_color="#F46D43")),
("multi_line",
MultiLine(xs="xs", ys="ys", line_color="#8073AC", line_width=2)),
("oval",
Oval(x="x",
y="y",
width=screen(15),
height=screen(25),
angle=-0.7,
fill_color="#1D91C0")),
("patch", Patch(x="x", y="y", fill_color="#A6CEE3")),
("patches", Patches(xs="xs", ys="ys", fill_color="#FB9A99")),
("quad",
Quad(left="x", right="xm01", top="y", bottom="ym01",
fill_color="#B3DE69")),
("quadratic",
from bokeh.objects import (Plot, DataRange1d, LinearAxis, ColumnDataSource,
PanTool, WheelZoomTool, PreviewSaveTool)
from bokeh.resources import INLINE
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__":
session = session.Session()
session.use_doc('line_animate')
session.load_document(document)
x = np.linspace(-2 * pi, 2 * pi, 1000)
x_static = np.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")])
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")
from bokeh.glyphs import Line
from bokeh import session
# The Line glyph needs arrays of arrays of X and Y, so use newaxis.
x = arange(-2 * pi, 2 * pi, 0.1)
y = sin(x)
source = ColumnDataSource(data=dict(xs=[x], ys=[y]))
#xdr = DataRange1d(sources=[source.columns("xs")])
#ydr = DataRange1d(sources=[source.columns("ys")])
xdr = Range1d(start=-2 * pi, end=2 * pi)
ydr = Range1d(start=-1, end=1)
line = Line(xs="xs", ys="ys", line_color="blue", line_width=2)
glyph_renderer = GlyphRenderer(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=line)
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)
from bokeh.glyphs import Line
from bokeh import session
# The Line glyph needs arrays of arrays of X and Y, so use newaxis.
x = arange(-2 * pi, 2 * pi, 0.1)
y = sin(x)
source = ColumnDataSource(data=dict(x=x, y=y))
#xdr = DataRange1d(sources=[source.columns("xs")])
#ydr = DataRange1d(sources=[source.columns("ys")])
xdr = Range1d(start=-2 * pi, end=2 * pi)
ydr = Range1d(start=-1, end=1)
line = Line(x="x", y="y", line_color="blue", line_width=2)
glyph_renderer = Glyph(data_source=source,
xdata_range=xdr,
ydata_range=ydr,
glyph=line)
pantool = PanTool(dataranges=[xdr, ydr], dimensions=("width", "height"))
wheelzoomtool = WheelZoomTool(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)
def setUp(self):
from bokeh.glyphs import Line
self.test_line = Line()
