I am trying to create a plot using bokeh to visualize my data on IPython Notebook. I want to add some widgets to make it more interactive. Below is an example of the codes.
from bokeh.models import CustomJS, ColumnDataSource
from bokeh.plotting import Figure, output_notebook, show
from bokeh.models.widgets import Select
from bokeh.layouts import column
output_notebook()
x = [x*0.005 for x in range(0, 200)]
y = x
z = ['A' if i>50 else 'B' for i in range(len(x))]
source = ColumnDataSource(data=dict(x=x, y=y, z=z))
plot = Figure(plot_width=400, plot_height=400)
plot.line('x', 'y', source=source, line_width=3, line_alpha=0.6)
def callback(source=source):
data=source.get('data')
f = cb_obj.get('value')
x, y, z = data['x'], data['y'], data['z']
x = [x[i] for i in range(len(x)) if z[i] == f]
y = [y[i] for i in range(len(y)) if z[i] == f]
z = [z[i] for i in range(len(z)) if z[i] == f]
source.trigger('change')
slides = Select(title="Option:", value = 'A', options=['A', 'B'],
callback=CustomJS.from_py_func(callback))
layout = column(slider,plot)
show(layout)
I want to make it such that if I choose other option, the plot will change accordingly based on the criteria I specify in the callback function. Any suggestion on why the codes do not work?
P.S. I used the codes from here, but I change the widgets because the problem I am facing is similar to the above http://docs.bokeh.org/en/0.11.1/docs/user_guide/interaction.html#customjs-with-a-python-function
