bokeh

I'm trying to embed a Bokeh plot into a Django site that has an upload button. I'm using the example given here as a starting point and then adding on the instructions on embedding from here . This is a follow-up on my question here as I now have a new problem. The plot just wont display when I go to the url associated with it, but there is no error message and the page loads. I used need-a-minimal-django-file-upload-example/for_django_1.8 and it works as intended when I navigate to the url http://<port>/myapp/list/ myapp/url.py looks like this # -*- coding: utf-8 -*- from django.conf.urls

I've created a visual graph using Bokeh that shows a network I created using Networkx. I now want to use TapTool to show information pertinent to any node on the graph that I click on. The graph is just nodes and edges. I know I should be able to use var inds = cb_obj.selected['1d'].indices; in the JavaScript callback function to get the indices of the nodes (glyphs) that were clicked on, but that's not working somehow and I get the error message, Uncaught TypeError: Cannot read property '1d' of undefined . A nudge in the right direction would be greatly appreciated. Below is my code. Please

The real (general) question I am new to Bokeh and I am trying to build a plot which can be dynamically updated based on input provided by a widget. However, usage of Python callbacks is not thoroughly documented for most widgets and therefore I'm stuck. How can I know which widget method I should use to attach my callback? I can guess the available choices by probing the widgets attributes in an interactive console, but that's not elegant and I'm sure it's written somewhere in the documentation. Provided that I would know about the method to use (e.g. on_event or on_change ), I still have to

I want to use a loop to load and/or modify data and plot the result within the loop using Bokeh (I am familiar with Matplotlib's axes.color_cycle ). Here is a simple example import numpy as np from bokeh.plotting import figure, output_file, show output_file('bokeh_cycle_colors.html') p = figure(width=400, height=400) x = np.linspace(0, 10) for m in xrange(10): y = m * x p.line(x, y, legend='m = {}'.format(m)) p.legend.location='top_left' show(p) which generates this plot How do I make it so the colors cycle without coding up a list of colors and a modulus operation to repeat when the number of

Is it possible to output individual figures from Bokeh as pdf or svg images? I feel like I'm missing something obvious, but I've checked the online help pages and gone through the bokeh.objects api and haven't found anything... There is no way to save PDF currently, but as of Bokeh 0.12.6 , it is now possible to export PNG and SVG directly from Python code. Exporting PNGs looks like this export_png(plot, filename="plot.png") And exporting SVGs looks like this plot.output_backend = "svg" export_svgs(plot, filename="plot.svg") There are some optional dependencies that need to be installed. You

I am experimenting with bokeh data table . Is it possible to add HoverTool to each field in bokeh table? An example of DataTable- And and example of how HoverTool works- This is possible using HTMLTemplateFormatter : main.py : from os.path import dirname, join import pandas as pd from bokeh.io import curdoc, show from bokeh.models import ColumnDataSource, Div from bokeh.models.widgets import DataTable, TableColumn, HTMLTemplateFormatter from bokeh.layouts import layout template = """<span href="#" data-toggle="tooltip" title="<%= value %>"><%= value %></span>""" df = pd.DataFrame([ ['this is a