bokeh

Does anyone know how to carry the legend in bokeh outside of the graph? The only manipulation I could do was to choose a position among: top_right, top_left, bottom_left or bottom_right using: legend()[0].orientation = "bottom_left" and when I try different ones I get the error message: ValueError: invalid value for orientation: 'outside'; allowed values are top_right, top_left, bottom_left or bottom_right bigreddot As of Bokeh 0.12.4 it is possible to position legends outside the central plot area. Here is a short example from the user's guide : import numpy as np from bokeh.models import

I have a figure with some glyphs, but only want tooltips to display for certain glyphs. Is there currently a way to accomplish this in Bokeh? Alternatively, is there a way to plot two figures on top of each other? It seems like that would let me accomplish what I want to do. Thanks to this page in Google Groups I figured out how this can be done. Link here Edit 2015-10-20 : looks like the google group link doesn't work anymore unfortunately. It was a message from Sarah Bird @bokehplot. Edit 2017-01-18 : Currently this would add multiple hover tool icons to the tool bar. This may cause problems

Is it possible to add Tooltips to a Timeseries chart? In the simplified code example below, I want to see a single column name ('a','b' or 'c') when the mouse hovers over the relevant line. Instead, a "???" is displayed and ALL three lines get a tool tip (rather than just the one im hovering over) Per the documentation ( http://bokeh.pydata.org/en/latest/docs/user_guide/tools.html#hovertool ), field names starting with “@” are interpreted as columns on the data source. How can I display the 'columns' from a pandas dataframe in the tooltip? Or, if the high level TimeSeries interface doesnt

I would like a Bar chart with Quantity information on the left y-axis, and then overlay a Scatter/Line plot with Yield % on the right. I can create each of these charts separately, but do not know how to combine them into a single plot. In matplotlib, we would create a second figure using twinx() , and then use yaxis.tick_left() and yaxis.tick_right() on the respective figures. Is there a method for doing something similar with Bokeh? tomaskazemekas Yes, now it is possible to have two y axes in Bokeh plots. The code below shows script parts significant in setting up the second y axis to the

I'm using Bokeh to create scatter plots by passing a ColumnDataSource to the figure.circle function. The data source has columns that designate certain colors for each point, with a hex code in each row, because the coloring scheme I want to use is somewhat complicated. Is there a way to change the column used to color the circles in the callback of a widget? I'm imagining a dropdown menu allowing users to choose various coloring schemes for the points. Here is an example of a solution using a models.Select widget and models.CustomJS to select out of two coloring schemes defined in the

Struggling with Flask + Bokeh AjaxDataSource: I have a function that returns json data: @app.route("/data", methods=['POST']) def get_x(): global x, y x = x + 0.1 y = math.sin(x) return flask.jsonify(x=[x], y=[y]) I can use use it with a Bokeh AjaxDataSource no problem to create a streaming plot: source = AjaxDataSource(data_url="http://localhost:5000/data", polling_interval=1000, mode='append') p = figure() p.line('x', 'y', source=source) show(p) However, when I try to embed this in a flask page, the AjaxDataSource does not query the server. The plot fails to render with no errors. Note that