Python 用于显示/隐藏Bokeh（股票数据移动平均）行的复选框

下面的代码显示了一个Bokeh脚本示例，该脚本使用三个复选框来显示/隐藏Bokeh图表上的线条

该系列也是原始数据的函数。可通过滑块访问功能参数。可以在文本框中调整原始数据

要访问，请在CMD中输入以下内容：

bokeh服务器--脚本C:\Path\to\python\Toggle.py

我大量使用了Bokeh网站上的滑块

---

MVA代码来自一个很棒的python网站，该网站是由

创建的。我对每个选择的重画速度都不满意，所以我更新了它，改为更改行的alpha属性。它需要命名和选择在

\u list\u attr\u splat

对象中检索的图示符。这是完整的代码。更改在create和

复选框\u 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

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