def get_stock_chart(self):
# Reset the date index.
stock_data = self.__reset_date_index()
# Only keep the number of days requested in chart_params
stock_data = stock_data.tail(self.days)
# Make a Bokeh figure
# Bokeh comes with a list of tools that include xpan and crosshair.
TOOLS = "xpan,crosshair"
p = figure(x_axis_type='datetime', tools=TOOLS, plot_width=self.width, plot_height= self.height, title = self.title)
p.xaxis.major_label_orientation = pi/4
p.grid.grid_line_alpha=0.3
mids = (stock_data.Open + stock_data.Close)/2
spans = abs(stock_data.Close-stock_data.Open)
inc = stock_data.Close > stock_data.Open
dec = stock_data.Open >= stock_data.Close
half_day_in_ms_width = 12*60*60*1000 # half day in
# Bokeh glyphs allows you to draw different types of glyphs on your charts....
# Each candle consists of a rectangle and a segment.
p.segment(stock_data.Date, stock_data.High, stock_data.Date, stock_data.Low, color="black")
# Add the rectangles of the candles going up in price
p.rect(stock_data.Date[inc], mids[inc], half_day_in_ms_width, spans[inc], fill_color=self.color_up, line_color="black")
# Add the rectangles of the candles going down in price
p.rect(stock_data.Date[dec], mids[dec], half_day_in_ms_width, spans[dec], fill_color=self.color_down, line_color="black")
############# ADDING INDICATORS ############################
#p = add_indicators(chart_params["indicators"], stock_data, p)
p = self.__add_indicators(stock_data, p)
############# ADDING HOVER CALLBACK ############################
# Create a dictionary that I can pass to the javascript callback
stock_data_dictio = self.__get_stock_data_dict()
callback_jscode = """
var stock_dic = %s; //The dictionary will be replaced here
var day_im_ms = 24*60*60*1000;
function formatDate(date) {
var d = new Date(date),
month = '' + (d.getMonth() + 1),
day = '' + d.getDate(),
year = d.getFullYear();
if (month.length < 2) month = '0' + month;
if (day.length < 2) day = '0' + day;
return [ month, day, year.toString().substring(2)].join('/');
}
var d = cb_data.geometry.x;
try {
d = Math.floor( d + day_im_ms);
d = new Date(d);
} catch(err) {
d= err;
}
sel_date = formatDate(d);
date_lbl = sel_date;
date_lbl = date_lbl + " open:" + stock_dic[sel_date].Open
date_lbl = date_lbl + " close:" + stock_dic[sel_date].Close
date_lbl = date_lbl + " high:" + stock_dic[sel_date].High
date_lbl = date_lbl + " low:" + stock_dic[sel_date].Low
date_label.text = date_lbl
""" % stock_data_dictio # <--- Observe tha dictionary that is to be replaced into the stock_dic variable
# This label will display the date and price information:
date_label = Label(x=30, y=self.height-50, x_units='screen', y_units='screen',
text='', render_mode='css',
border_line_color='white', border_line_alpha=1.0,
background_fill_color='white', background_fill_alpha=1.0)
date_label.text = ""
p.add_layout(date_label)
# When we create the hover callback, we pass the label and the callback code.
callback = CustomJS(args={'date_label':date_label}, code=callback_jscode)
p.add_tools(HoverTool(tooltips=None, callback=callback))
###################################################################
return p
)
p.add_tools(hover)
p.xaxis.ticker = SingleIntervalTicker(interval=10)
p.xaxis.axis_label = "Percentage of temporary workers"
p.yaxis.ticker = SingleIntervalTicker(interval=20)
p.yaxis.axis_label = "Percentage change since 2006"
# show the year as a label on the chart
label = Label(x=30, y=-50, text=str(years[0]), text_font_size='70pt', text_color='#cccccc')
p.add_layout(label)
# set initial data to first year
initial = 2006
cir.data_source.data = sources[initial].data
label.text = str(initial)
# update callback when slider value changes
# label and source for cir updated
def slider_update (attrname, old, new):
year = slider.value
label.text = str(year)
cir.data_source.data = sources[year].data
# add slider
slider = Slider(start=years[0], end=years[-1], value=years[0], step=1, title="Year")
slider.on_change('value', slider_update)
layout = layout([
[p],
[slider],
