def render(**figure_kwargs):
figure = Figure(**figure_kwargs)
figure.add_layout(Legend())
figure.legend.location = "top_left"
figure.legend.click_policy = "hide"
figure.line(legend_label=yfast,
source=onesource,
x='datetime',
y=yfast,
color='red')
figure.line(legend_label=yslow,
source=onesource,
x='datetime',
y=yslow,
color='blue')
figure.segment(legend_label=y1hist,
source=onesource,
x0='datetime',
x1='datetime',
y0=0,
y1=y1hist,
line_width=6,
color='black',
alpha=0.5)
return figure
def render(**figure_kwargs):
figure = Figure(**figure_kwargs)
figure.segment(source=onesource,
legend_label="OHLC H/L",
x0='datetime',
x1='datetime',
y0='low',
y1='high',
line_width=1,
color='black')
updown = [
o < c
for o, c in zip(onesource.data['open'], onesource.data['close'])
]
figure.vbar(
legend_label="OHLC Up",
source=onesource,
view=CDSView(source=onesource, filters=[BooleanFilter(updown)]),
width=(onesource.data['datetime'][1] -
onesource.data['datetime'][0]) / 2,
x='datetime',
bottom='open',
top='close',
fill_color="#D5E1DD",
line_color="black",
)
figure.vbar(
legend_label="OHLC Down",
source=onesource,
view=CDSView(source=onesource,
filters=[BooleanFilter([not b for b in updown])]),
width=(onesource.data['datetime'][1] -
onesource.data['datetime'][0]) / 2,
x='datetime',
top='open',
bottom='close',
fill_color="#F2583E",
line_color="black",
)
# point of calling super.__call__() ?? Legend ??
figure.legend.location = "top_left"
figure.legend.click_policy = "hide"
return figure
def __plot_stem_and_bulb(figure, series, color, name):
figure.circle(x="index",
y=name,
source=ColumnDataSource(series.to_frame()),
alpha=0.5,
size=10,
color=color)
figure.segment(x0='index',
x1='index',
y0=0,
y1=name,
source=ColumnDataSource(series.to_frame()),
line_width=1,
color=color)
return figure
def bdot(self,
dataname,
figurename,
width=1,
color=1,
mode='dot',
set_colormap=True):
"""-----------------------------------------------------------------------------------------
Bokeh plot of dots in the main panel, and colorbar in the legend panel
:param dataname: string, name of a dataframe in self.frame
:param figurename: string, a figure defined in setupBokeh and stored in self.figure
:param width: boolean, scale size of markers by the score
:param color: boolean, scale the color of the markers by the score
:param mode: string, if dot use the circle renderer, otherwise segment renderer
:param set_colormap: boolean, set the colormap based on score range, turn off for second
plot to use the same scale
:return: True
-----------------------------------------------------------------------------------------"""
data = self.frame[dataname]
figure = self.figure[figurename]
legend = self.figure['legend']
window = self.window
threshold = self.threshold
alpha = self.alpha
scoremin, scoremax = self.valueMinMax(data['score'])
if width == 1:
self.scaleColumn('dots', 'score', 'size',
(threshold - 1, scoremax),
(self.mindotsize, self.maxdotsize))
else:
data['size'] = [self.mindotsize for _ in range(len(data['score']))]
if color == 1:
pass
else:
data['score'] = [scoremax for _ in range(len(data['score']))]
if set_colormap:
if color == 1:
cmap = LinearColorMapper(self.palette,
low=max(threshold - 1.0,
scoremin - 1),
high=scoremax)
else:
cmap = LinearColorMapper(self.palette,
low=threshold - 0.1,
high=threshold)
self.cmap = cmap
else:
cmap = self.cmap
source = ColumnDataSource(data)
if mode == 'dot':
figure.circle(source=source,
x='x',
y='y',
size='size',
line_color=transform('score', cmap),
line_alpha=alpha,
fill_color=transform('score', cmap),
fill_alpha=alpha)
else:
# line mode
figure.segment(source=source,
x0='x',
x1='x1',
y0='y',
y1='y1',
line_width='size',
line_color=transform('score', cmap),
alpha=alpha)
# color bar is in a separate window, self.legend, so it doesn't disturb the
# aspect ratio
if color:
color_bar = ColorBar(color_mapper=cmap,
label_standoff=3,
bar_line_color='black',
scale_alpha=alpha,
width=20,
margin=0,
location=(0, 0),
major_tick_in=20,
major_tick_out=5,
major_tick_line_color='black')
legend.add_layout(color_bar, 'left')
return True