bokeh

I have a dataset consisting of timeseries of a few observables, and I'd like to use bokeh to look at the phase diagram at different points in the time series. What I want to know is how to change the properties of the selected or unselected glyphs (in this case I'd like to reduce the alpha of the unselected points or change the color of the selected ones). The code below creates the interface I want in an ipython notebook, and is based on the example in the users guide http://bokeh.pydata.org/en/0.10.0/docs/user_guide/interaction.html#linked-brushing . I can't find any obvious options to set

I'm trying to create a smooth interactive visualization of different slices of a muldimensional array using Bokeh. The data in the slices changes according to the user interaction and thus has to be updated several times per second. I have written a Bokeh app with several small image plots (64x64 values) to show the contents of the slices, and a callback to update the ColumnDataSources when the user interacts with the app. Everything works as expected but I can't get more than 2 or 3 frames per second and I would like to get at least 10 frames. Here is a simplified sample of my code using 16

I am looking for a way to create a plot the containing several subplots like fig, (ax0, ax1) = plt.subplots(nrows=2, sharex=True) would do in matplotlib, which then can be addressed by ax0 and ax1 . Is there a way to do something similar in Bokeh? In the bokeh examples gallery I only found single plots. I think the simpler example you can find is: import numpy as np import bokeh.plotting as bk_plotting import bokeh.models as bk_models # for the ipython notebook bk_plotting.output_notebook() # a random dataset data = bk_models.ColumnDataSource(data=dict(x=np.arange(10), y1=np.random.randn(10),

the y axis ticks seem to be formatting numbers like 500000000 to 5.000e+8. Is there a way to control the display so that it displays as 500000000? using python 2.7, bokeh 0.5.2 i m trying out the timeseries example at bokeh tutorials page The tutorial plots 'Adj Close' against 'Date' but i'm plotting with 'Volume' against 'Date' sharon You can also use NumeralTickFormatter as used in the toy plot below. The other possible values in place of '00' are listed here . import pandas as pd import numpy as np from bokeh.plotting import figure, output_file, show from bokeh.models import

I would like to change the DataTable object row selection programmatically (without JS, just python). I have tried to so using the selected property of the underlying ColumnsSource with no success. How can this be done? See an example app (needs bokeh serve to run) where pressing the button changes the selected rows, then updates both a table and plot. Is this all the functionality you need? By the way you could just do it in JS and not need to use bokeh server, but if you have more python functionality going on then i guess you need it. from datetime import date from random import randint

my problem can by simplified with a streaming plot of two lines and two y-axes. Each line is assigned to a different y-axis. With a Select Widget I would like to choose which line is assigned to the primary/secondary axis. This functionality is actually working in the code below. However, the axis assignment is only changed when the plot updates its data. I would like to have the axis assignment happen on change of the select widget. I tried a couple of 'update' functions, but none of them work. I'm assuming that the 'stream' function updates the axis assignment. How, could this be done on