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 test_Text():
glyph = Text()
assert glyph.x == "x"
assert glyph.y == "y"
assert glyph.text == "text"
assert glyph.angle == "angle"
yield check_text, glyph
yield check_props, glyph, ["x", "y", "text", "angle"], TEXT
def add_gauge(radius, max_value, length, direction, color, major_step, minor_step):
major_angles, minor_angles = [], []
major_labels, minor_labels = [], []
total_angle = start_angle - end_angle
major_angle_step = float(major_step)/max_value*total_angle
minor_angle_step = float(minor_step)/max_value*total_angle
major_angle = 0
while major_angle <= total_angle:
major_angles.append(start_angle - major_angle)
major_angle += major_angle_step
minor_angle = 0
while minor_angle <= total_angle:
minor_angles.append(start_angle - minor_angle)
minor_angle += minor_angle_step
major_labels = [ major_step*i for i, _ in enumerate(major_angles) ]
minor_labels = [ minor_step*i for i, _ in enumerate(minor_angles) ]
n = major_step/minor_step
minor_angles = [ x for i, x in enumerate(minor_angles) if i % n != 0 ]
minor_labels = [ x for i, x in enumerate(minor_labels) if i % n != 0 ]
glyph = Arc(x=0, y=0, radius=radius, start_angle=start_angle, end_angle=end_angle, direction="clock", line_color=color, line_width=2)
add_glyph(glyph, global_source)
rotation = 0 if direction == 1 else -pi
x, y = zip(*[ polar_to_cartesian(radius, angle) for angle in major_angles ])
angles = [ angle + rotation for angle in major_angles ]
source = ColumnDataSource(dict(x=x, y=y, angle=angles))
plot.data_sources.append(source)
glyph = Ray(x="x", y="y", length=length, angle="angle", line_color=color, line_width=2)
add_glyph(glyph, source)
x, y = zip(*[ polar_to_cartesian(radius, angle) for angle in minor_angles ])
angles = [ angle + rotation for angle in minor_angles ]
source = ColumnDataSource(dict(x=x, y=y, angle=angles))
plot.data_sources.append(source)
glyph = Ray(x="x", y="y", length=length/2, angle="angle", line_color=color, line_width=1)
add_glyph(glyph, source)
x, y = zip(*[ polar_to_cartesian(radius+2*length*direction, angle) for angle in major_angles ])
text_angles = [ angle - pi/2 for angle in major_angles ]
source = ColumnDataSource(dict(x=x, y=y, angle=text_angles, text=major_labels))
plot.data_sources.append(source)
glyph = Text(x="x", y="y", angle="angle", text="text", text_align="center", text_baseline="middle")
add_glyph(glyph, source)
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_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
end_angle = -pi / 4
max_kmh = 250
max_mph = max_kmh * 0.621371
major_step, minor_step = 25, 5
add_glyph(Circle(x=0, y=0, radius=1.00, fill_color="white",
line_color="black"))
add_glyph(Circle(x=0, y=0, radius=0.05, fill_color="gray", line_color="black"))
add_glyph(
Text(x=0,
y=+0.15,
angle=0,
text=["km/h"],
text_color="red",
text_align="center",
text_baseline="bottom",
text_font_style="bold"))
add_glyph(
Text(x=0,
y=-0.15,
angle=0,
text=["mph"],
text_color="blue",
text_align="center",
text_baseline="top",
text_font_style="bold"))
def speed_to_angle(speed, units):
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,
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],
def setUp(self):
from bokeh.glyphs import Text
self.test_text = Text()
for angle in text_angle
]
if first and text:
text.insert(0, '(version)')
offset = pi / 48
text_angle.insert(0, text_angle[0] - offset)
start.insert(0, start[0] - offset)
end.insert(0, end[0] - offset)
x, y = polar_to_cartesian(1.25, start, end)
first = False
text_source = ColumnDataSource(dict(text=text, x=x, y=y, angle=text_angle))
glyph = Text(x="x",
y="y",
text="text",
angle="angle",
text_align="center",
text_baseline="middle")
plot.add_glyph(text_source, glyph)
def to_base64(png):
return "data:image/png;base64," + base64.b64encode(png).decode("utf-8")
urls = [to_base64(icons.get(browser, b"")) for browser in browsers]
x, y = polar_to_cartesian(1.7, start_angles, end_angles)
icons_source = ColumnDataSource(dict(urls=urls, x=x, y=y))
glyph = ImageURL(url="urls", x="x", y="y", angle=0.0, anchor="center")
plot.add_glyph(icons_source, glyph)
def make_box_violin_plot(data, num_bins, maxwidth=0.9):
"""
data: dict[Str -> List[Number]]
maxwidth: float
Maximum width of tornado plot within each factor/facet
Returns the plot object
"""
df = pd.DataFrame(columns=["group", "centers", "width", "height", "texts"])
bar_height = 50
bins = [0, 1e1, 1e2, 1e3, 1e4, 1e5, 1e6]
# 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,
centers=np.arange(len(hist)) * bar_height,
width=np.log10(hist),
height=np.ones(hist.shape) * bar_height,
texts=map(str, hist),
)))
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 = DataRange1d(sources=[ds.columns("centers")])
plot = Plot(data_sources=[ds],
x_range=xdr,
y_range=ydr,
title="Degree Distribution",
plot_width=750,
plot_height=600,
tools=[])
xaxis = CategoricalAxis(plot=plot,
location="bottom",
axis_label="number of nodes")
#yaxis = LogAxis(plot=plot, location="left", axis_label="degree")
plot.below.append(xaxis)
#plot.above.append(yaxis)
#xgrid = Grid(plot=plot, dimension=0, axis=xaxis)
#ygrid = Grid(plot=plot, dimension=1, axis=yaxis)
glyph = Rect(x="group", y="centers", width="width", height="height")
text_glyph = Text(x="group",
y="centers",
text="texts",
text_baseline="middle",
text_align="center")
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
