bokeh

In order of complexity, with Pyramids, I can create static bokeh graphs and then incorperate them with div tags like outlined here . The Bokeh documentations explain clearly how one can setup a bokeh server for interactive data exploration, and I have successfully created such an application. What I would like to do though is to have an interactive graph within a Pyramids view page. The requirements of this page would be as followed: Upon loading of the view, a bokeh server is somehow started, and the data is loaded into the server's object model. Somehow the Pyramid view will also receive the

I want to serve a flask app that uses embedded bokeh serve from a server on my local network. To illustrate I made an example using the bokeh serve example and a docker image to replicate the server. The docker image runs Nginx and Gunicorn. I think there is a problem with my nginx configuration routing the requests to the /bkapp uri. I have detailed the problem and provided all source code in the following git repo I have started a discussion on bokeh google group Single Container In order to reduce the complexity of running nginx in its own container I built this image that runs nginx in

I was wondering if it were possible to limit the range of the "pan" tool for bokeh generated plots? For example, say I had this simple plot: from bokeh.plotting import output_file, rect, show output_file('test.html') rect([10,20,30], [10,20,30], width=[1,2,3], color=['red','blue','green'], height=5, plot_width=400, plot_height=400, tools = "ypan,box_zoom,reset") show() The ypan tool works great, but I could keep panning until my graph disappears. Is there any way I can constrain the pan? The pan/zoom limit feature has been added after this question was first posed. You can feed the y_range or

I am trying to display a graph using networkx with bokeh 12.7 that Has node size based on node degrees Color based on another node attribute. Desired Output: Data Setup import pandas as pd import numpy as np import networkx as nx import seaborn as sns from bokeh.io import show, output_notebook #output_file, from bokeh.plotting import figure from bokeh.models.graphs import from_networkx from bokeh.models import GraphRenderer, StaticLayoutProvider, LinearColorMapper, ColumnDataSource from bokeh.palettes import Spectral8, Spectral4 G = nx.karate_club_graph() # Some Random index node_color = {k:v

I've been testing out Python's Bokeh, specifically the candlestick chart tools but have been unable to figure out how to add more than 5 datetime labels/ticks to my chart. Any insight would be appreciated. Here's the code: from math import pi import pandas as pd import pandas.io.data as web from bokeh.plotting import * stocks = 'FB' ####################################################### date_today = time.strftime("%x") def get_px(stock, start, end): return web.get_data_yahoo(stock, start, end) x = get_px(stocks, '1/1/2013', date_today) ###################################################### ##

I am using the following code to produce an interactive bokeh network graph. How do I add the name of the nodes to the nodes in the bokeh plot? from bokeh.io import show, output_notebook from bokeh.models import Plot, Range1d, MultiLine, Circle, HoverTool, TapTool, BoxSelectTool from bokeh.models.graphs import from_networkx, NodesAndLinkedEdges, EdgesAndLinkedNodes from bokeh.palettes import Spectral4 from bokeh.models import LabelSet plot = Plot(plot_width=900, plot_height=500, x_range=Range1d(-1.1,1.1), y_range=Range1d(-1.1,1.1)) plot.title.text = "Graph Interaction Demonstration" plot.add

How can I hide both x and y axis in a bokeh plot ? I've checked and tried based on this : p1= figure (... visible=None) p1.select({"type": "Axis", "visible": 0}) xaxis = Axis(plot=p1, visible = 0) and like http://docs.bokeh.org/en/latest/docs/user_guide/styling.html#axes Hemanth Kondapalli Create a figure object. So, in your example the figure object is p1 , then p1.axis.visible = False If you want to specify a y or x axis, then use p1.xaxis.visible = False or p1.yaxis.visible = False Set the axes parameters in the figure object: p1 <- figure(xaxes = FALSE, yaxes = FALSE) or if you also want