def make_plot(yscale='linear'):
# configure the tools
width_zoom={'dimensions':['width']}
tools = [tool(**width_zoom) for tool in [BoxZoomTool, WheelZoomTool]]
hover_pos = HoverTool(
names=['buy','sell'],
tooltips=[
('Position','@pos'),
('Date','@date'),
('Price','@price')
]
)
hover_pos.name = 'Postions'
tools.extend([PanTool(), hover_pos, ResetTool(), CrosshairTool()])
# prepare plot
p = Figure(plot_height=600, plot_width=800, title="Moving Average Positions",
x_axis_type='datetime', y_axis_type=yscale, tools=tools)
p.line(x='date', y='price', alpha=0.3, color='Black', line_width=2, source=source, legend='Close', name='price')
p.line(x='date', y='mav_short', color='DarkBlue', line_width=2, source=source, legend='Short MAV')
p.line(x='date', y='mav_long', color='FireBrick', line_width=2, source=source, legend='Long MAV')
p.inverted_triangle(x='x', y='y', color='Crimson', size=20, alpha=0.7, source=sell, legend='Sell', name='sell')
p.triangle(x='x', y='y', color='ForestGreen', size=20, alpha=0.7, source=buy, legend='Buy', name='buy')
return p
def plot_crossover_signals(data, signals, ticker=None, notebook=False):
# create a new plot with a title and axis labels
p = Figure(title=ticker + ' Moving Crossover Strategy',
x_axis_label='Date',
x_axis_type='datetime',
y_axis_label='Price in $',
plot_height=500,
plot_width=950,
tools=['pan', 'wheel_zoom'],
toolbar_location='below')
# configure so that Bokeh chooses what (if any) scroll tool is active
p.toolbar.active_scroll = "auto"
# add a line renderer with legend and line thickness
p.line(data.index,
data['Close'],
line_width=2,
legend='Close',
line_color='black')
p.line(signals.index,
signals['short_mavg'],
line_width=2,
legend='Slow MA',
line_color='orange')
p.line(signals.index,
signals['long_mavg'],
line_width=2,
legend='Fast MA',
line_color='blue')
p.triangle(signals.loc[signals.positions == 1.0].index,
signals.short_mavg[signals.positions == 1.0],
size=15,
fill_color='green',
legend='Bullish Crossover')
p.inverted_triangle(signals.loc[signals.positions == -1.0].index,
signals.short_mavg[signals.positions == -1.0],
size=15,
fill_color='red',
legend='Bearish Crossover')
p.legend.location = "top_left"
p.legend.click_policy = "hide"
if notebook:
# show the results
show(p, notebook_handle=True)
push_notebook()
else:
# output the results
output_file('%s Moving Crossover Strategy.html' % ticker)
save(p)
x = [phototime[i] for i in indye],
y = [photoAB[i] for i in indye],
err = [photoerrs[i] for i in indye],
desc = [photoband[i] for i in indye],
instr = [photoinstru[i] for i in indye],
src = [photosource[i] for i in indye]
)
)
p1.multi_line([err_xs[x] for x in indye], [err_ys[x] for x in indye], color=bandcolorf(band))
p1.circle('x', 'y', source = source, color=bandcolorf(band), legend=bandname, size=4)
upplimlegend = bandname if len(indye) == 0 and len(indne) == 0 else ''
indt = [i for i, j in enumerate(phototype) if j]
ind = set(indb).intersection(indt)
p1.inverted_triangle([phototime[x] for x in ind], [photoAB[x] for x in ind],
color=bandcolorf(band), legend=upplimlegend, size=7)
if spectraavail and dohtml and args.writehtml:
spectrumwave = []
spectrumflux = []
spectrumerrs = []
for spectrum in catalog[entry]['spectra']:
spectrumdata = deepcopy(spectrum['data'])
spectrumdata = [x for x in spectrumdata if is_number(x[1]) and not isnan(float(x[1]))]
specrange = range(len(spectrumdata))
spectrumwave.append([float(spectrumdata[x][0]) for x in specrange])
spectrumflux.append([float(spectrumdata[x][1]) for x in specrange])
if 'errorunit' in spectrum:
spectrumerrs.append([float(spectrumdata[x][2]) for x in specrange])
spectrumerrs[-1] = [x if is_number(x) and not isnan(float(x)) else 0. for x in spectrumerrs[-1]]
nspec = len(catalog[entry]['spectra'])
def plot_bollinger_signals(data, signals, ticker=None, notebook=False):
# create a new plot with a title and axis labels
p = Figure(title=ticker + ' Bollinger Bands Strategy',
x_axis_label='Date',
x_axis_type='datetime',
y_axis_label='Price in $',
plot_height=500,
plot_width=950,
tools=['pan', 'wheel_zoom'],
toolbar_location='below')
inc = data['Close'] > data['Open']
dec = data['Open'] > data['Close']
w = 12 * 60 * 60 * 1000 # half day in ms
p.segment(data.index, data['High'], data.index, data['Low'], color="black")
p.vbar(data.index[inc],
w,
data['Open'][inc],
data['Close'][inc],
fill_color="#D5E1DD",
line_color="black")
p.vbar(data.index[dec],
w,
data['Open'][dec],
data['Close'][dec],
fill_color="#F2583E",
line_color="black")
# configure so that Bokeh chooses what (if any) scroll tool is active
p.toolbar.active_scroll = "auto"
# add a line renderer with legend and line thickness
p.line(signals.index,
signals['mediumband'],
line_width=2,
legend='Mediumband',
line_color='black')
p.line(signals.index,
signals['upperband'],
line_width=2,
legend='Upperband',
line_color='orange')
p.line(signals.index,
signals['lowerband'],
line_width=2,
legend='Lowerband',
line_color='blue')
p.triangle(signals.loc[signals.positions == 1.0].index,
signals.lowerband[signals.positions == 1.0],
size=15,
fill_color='green',
legend='Buy')
p.inverted_triangle(signals.loc[signals.positions == -1.0].index,
signals.upperband[signals.positions == -1.0],
size=15,
fill_color='red',
legend='Sell')
p.legend.location = "top_left"
p.legend.click_policy = "hide"
if notebook:
# show the results
show(p, notebook_handle=True)
push_notebook()
else:
# output the results
output_file('%s Bollinger Bands Strategy.html' % ticker)
save(p)
def createPlot(height=600, width=1200):
"""
Create and return a plot for visualizing transcripts.
"""
TOOLS = "pan, wheel_zoom, save, reset, tap"
p = Figure(title="",
y_range=[],
webgl=True,
tools=TOOLS,
toolbar_location="above",
plot_height=height,
plot_width=width)
# This causes title to overlap plot substantially:
#p.title.text_font_size = TITLE_FONT_SIZE
p.xgrid.grid_line_color = None # get rid of the grid in bokeh
p.ygrid.grid_line_color = None
# the block of exons, there's mouse hover effect on that
quad = p.quad(top="top",
bottom="bottom",
left="left",
right="right",
source=blockSource,
fill_alpha=0,
line_dash="dotted",
line_alpha=0.4,
line_color='black',
hover_fill_color="red",
hover_alpha=0.3,
hover_line_color="white",
nonselection_fill_alpha=0,
nonselection_line_alpha=0.4,
nonselection_line_color='black')
# the block of each vertical transcript, each one can be selected
p.quad(top="top",
bottom="bottom",
right="right",
left="left",
source=tranSource,
fill_alpha=0,
line_alpha=0,
nonselection_fill_alpha=0,
nonselection_line_alpha=0)
# what exons really is
# Cannot use line_width="height" because it is broken.
p.multi_line(xs="xs",
ys="ys",
line_width=opt.height,
color="color",
line_alpha="line_alpha",
source=source)
# the start/stop codon
p.inverted_triangle(x="x",
y="y",
color="color",
source=codonSource,
size='size',
alpha=0.5)
# mouse hover on the block
p.add_tools(
HoverTool(tooltips=[("chromosome", "@chromosome"), ("exon", "@exon"),
("start", "@start"), ("end", "@end")],
renderers=[quad]))
return p