не был доволен скоростью перерисовки на каждом выборе, поэтому я обновил это, чтобы изменить свойство альфа из линий вместо. Он требует именования и выбора глифов, которые извлекаются в объекте _list_attr_splat. Вот полный код снова. Изменения внесены в методы create и checkbox_handler.
import numpy as np
import pandas as pd
from collections import OrderedDict
from bokeh.plotting import figure
from bokeh.models import Plot, ColumnDataSource
from bokeh.properties import Instance
from bokeh.server.app import bokeh_app
from bokeh.server.utils.plugins import object_page
from bokeh.models.renderers import GlyphRenderer
from bokeh.models.widgets import HBox,Slider,TextInput, VBoxForm, CheckboxGroup
def get_stockdata(ticker):
MyStock = pd.read_csv(
"http://ichart.yahoo.com/table.csv?s="+ticker+"&a=0&b=1&c=2000&d=0&e=1&f=2015",
parse_dates=['Date'])
xyvalues = OrderedDict(AdjClose=MyStock['Adj Close'],Date=MyStock['Date'])
for x in xyvalues.keys():
xyvalues[x] =xyvalues[x][::-1]
return xyvalues
def movingaverage(values,window):
weigths = np.repeat(1.0, window)/window
smas = np.convolve(values, weigths, 'valid')
return smas # as a numpy array
class HackApp(HBox):
extra_generated_classes = [["HackApp", "HackApp", "HBox"]]
inputs = Instance(VBoxForm)
text = Instance(TextInput)
toggle = Instance(CheckboxGroup)
MVA_1 = Instance(Slider)
MVA_2 = Instance(Slider)
plot = Instance(Plot)
source = Instance(ColumnDataSource)
source2 = Instance(ColumnDataSource)
source3 = Instance(ColumnDataSource)
@classmethod
def create(cls):
obj = cls()
obj.source = ColumnDataSource(data=dict(x_y=[], y=[]))
obj.source2 = ColumnDataSource(data=dict(x_z=[], z=[]))
obj.source3 = ColumnDataSource(data=dict(x_a=[], a=[]))
obj.text = TextInput(
title="title", name='title', value='MSFT'
)
obj.toggle = CheckboxGroup(labels=["Closes","MVA_1","MVA_2"],active=[0,1,2])
obj.MVA_1 = Slider(
title="MVA_1", name='MVA_1',
value=100, start=-0.0, end=500.0, step=10
)
obj.MVA_2 = Slider(
title="MVA_2", name='MVA_2',
value=200, start=-0.0, end=500.0, step=10
)
toolset = "crosshair,pan,reset,resize,save,wheel_zoom"
plot = figure(title_text_font_size="12pt",
plot_height=400,
plot_width=400,
tools=toolset,
title=obj.text.value,
x_axis_type = "datetime"
)
plot.line('x_y', 'y', source=obj.source,
line_width=3,
line_alpha=0.6,
line_color="red",
name='closes'
)
plot.line('x_z', 'z', source=obj.source2,
line_width=3,
line_alpha=0.6,
line_color="blue",
name='av1'
)
plot.line('x_a', 'a', source=obj.source3,
line_width=3,
line_alpha=0.6,
line_color="green",
name='av2'
)
obj.plot = plot
obj.update_data()
obj.inputs = VBoxForm(
children=[
obj.text,
obj.toggle,
obj.MVA_1,
obj.MVA_2,
]
)
obj.children.append(obj.inputs)
obj.children.append(obj.plot)
return obj
def checkbox_handler(self,active):
for n,nm in enumerate(['closes','av1','av2']):
sel=self.plot.select(dict(name=nm))
sel[0].glyph.line_alpha= 1 if n in self.toggle.active else 0
def setup_events(self):
super(HackApp, self).setup_events()
if not self.text:
return
self.text.on_change('value', self, 'input_change')
for w in ["MVA_1", "MVA_2"]:
getattr(self, w).on_change('value', self, 'input_change')
self.toggle.on_click(self.checkbox_handler)
def input_change(self, obj, attrname, old, new):
self.update_data()
self.plot.title = self.text.value
def update_data(self,hide=False):
N = 200
a=1
b = self.MVA_1.value
b2 = self.MVA_2.value
print(self.toggle.active,"self.toggle")
ticker = self.text.value
xyvalues=get_stockdata(ticker)
y_min = min(xyvalues['AdjClose'])*0.9
y_max = max(xyvalues['AdjClose'])*1.1
MA1 = b
MA2 = b2
Av1 = movingaverage(xyvalues['AdjClose'], MA1)
Av2 = movingaverage(xyvalues['AdjClose'], MA2)
SP1 = len(xyvalues['Date'][MA1-1:])
SP2 = len(xyvalues['Date'][MA2-1:])
Av1=Av1[-SP1:]
Av2=Av2[-SP2:]
avgdate1=xyvalues['Date'] [-SP1:]
avgdate2=xyvalues['Date'] [-SP2:]
x_y = []
y = []
x_z = []
z = []
x_a = []
a = []
for p in self.toggle.active:
if p ==0:
x_y = xyvalues['Date']
y = xyvalues['AdjClose']
if p ==1:
x_z = avgdate1
z = Av1
if p ==2:
x_a = avgdate2
a = Av2
self.source.data = dict(x_y=x_y, y=y)
self.source2.data = dict(x_z=x_z, z=z)
self.source3.data = dict(x_a=x_a, a=a)
self.plot.y_range.start=y_min
self.plot.y_range.end=y_max
@bokeh_app.route("/bokeh/hack/")
@object_page("sin")
def make_hack():
app = HackApp.create()
return app