複選框顯示/隱藏散景（股票數據移動平均線）

Question

下面的代碼顯示了一個使用三個複選框在散景圖表上顯示/隱藏線條的散景腳本示例。

該系列也是原始數據的功能。可以通過滑塊訪問功能的參數。原始數據可以在文本框中調整。

要訪問，把在CMD下：

背景虛化服務器--script C：\路徑\到\ python的\ Toggle.py

我從大量的背景虛化網站中使用滑塊example。

的MVA代碼是從創建一個真棒蟒蛇網站Harrison Kinsley

Answer 1

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]) 

    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" 
    ) 

    plot.line('x_z', 'z', source=obj.source2, 
       line_width=3, 
       line_alpha=0.6, 
       line_color="blue" 
    ) 

    plot.line('x_a', 'a', source=obj.source3, 
       line_width=3, 
       line_alpha=0.6, 
       line_color="green" 
    ) 

    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): 

    self.update_data(active) 

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 

Answer 2

並不快樂與每個選擇重繪的速度，所以我已經更新了這個改變的alpha屬性行代替。它需要命名和選擇在_list_attr_splat對象中檢索的字形。這是完整的代碼。更改位於create和checkbox_handler方法中。

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