The code below shows an example of Bokeh script that uses three check boxes to show/hide lines on a Bokeh chart.
The series are also functions of the original data. Parameters for the functions can be accessed via the sliders. The original data can be adjusted in the text box.
To access, put the following in CMD:
bokeh-server --script C:\Path\to\python\Toggle.py
I heavily used the slider example from the Bokeh website.
The MVA code was from an awesome python website created by Harrison Kinsley
On
Wasn't happy with the speed of the redraw on every selection, so I've updated this to change the alpha property of the lines instead. It requires naming and selection of the glyphs which are retrieved in a _list_attr_splat object. Here's the full code again. Changes are in the create and checkbox_handler methods.
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