bokeh

问题 Is it possible to put the x-axis at the top of a Bokeh plot? If so, how? This is similar to this question on matplotlib 回答1: Pass x_axis_location="above" to bokeh.plotting.figure 来源： https://stackoverflow.com/questions/39107360/put-x-axis-at-the-top-of-a-bokeh-figure

问题 I have numerous Bokeh Server files in a directory say.. /dir/bokeh/ , assume the bokeh servers are called bokeh1.py, bokeh2.py, bokeh3.py The file structure is like so: |--dir |---flask.py |---bokeh |--bokeh1.py |--bokeh2.py I am deploying them all on flask like so: files=[] for file in os.listdir("/dir/bokeh/"): if file.endswith('.py'): file="bokeh/"+file files.append(file) argvs = {} urls = [] for i in files: argvs[i] = None urls.append(i.split('\\')[-1].split('.')[0]) host = 'myhost.com'

问题 I was searching for a solution and came across a removed question from maria saz. Fortunately, I was able to see it cached by google. Since I have the exact same question, I borrowed the original text: """ I'm building a website with Bokeh plots, using inline embedding. However, using an https connection to the site blocks the plots from being rendered, as the source is deemed 'unauthenticated'. Is there a way to solve this? In the 'Security Overview', it says: Blocked mixed content Your page

问题 I was trying to embed a bokeh plot into my django app. I followed the instructions given on Bokeh website and another question. I am getting the following error on my browser console and not getting any plot output: Uncaught TypeError: Bokeh.safely is not a function at HTMLDocument.fn (localhost/:15) I am not a JS guy but Bokeh.safely is present in the script generated by Bokeh. I have attached the script generated at the end: My views.py file: from django.shortcuts import render from bokeh

问题 Is there a way to create a section of a bokeh dashboard that shows the console output from the python session? I am creating a front-end dashboard with bokeh that runs a process that can take a while and does a lot of stuff. I wanted a section that would show some of the print statements that are executed along the way. Ideally I was hoping for a little widget type object that could display the output directly within the dashboard. 回答1: Just a simple example updating a Div element with the

问题 Previous versions of Bokeh seem to have chord charts: https://docs.bokeh.org/en/0.12.4/docs/gallery/chord_chart.html But not the latest version? https://docs.bokeh.org/en/latest/docs/gallery/chord_chart.html [404s] 回答1: Chord was part of bokeh.charts which was deprecated and removed many release ago. Most things that used to be in the old bokeh.charts are now simple to accomplish with the stable bokeh.plotting API, but Chord is one of the few exceptions. I would suggest looking at Holoviews,

问题 Note from maintainers: This question concerns the obsolete first generation Bokeh server. For details about modern Bokeh server applications, see: https://docs.bokeh.org/en/latest/docs/user_guide/server.html OBSOLETE: I downloaded the Anaconda installer for Windows 32 bit from https://www.anaconda.com/distribution/ In my Jupyter Notebook, I inserted code from here: https://github.com/bokeh/bokeh/blob/demo/examples/plotting/server/remotedata.py Executing in the notebook draws that error: -----

问题 I use the Bokeh. I like Bokeh very much, Because Bokeh have the many chart and output file is very simple I work for Semiconductor Corporation, I sometimes analysis the semicon. data. I have the many data and I make the many chart. may be 1000~4000 chart ops!!!!! I use the Bokeh for making chart, but bokeh is very slow, I don't why ........ for example, data have 6000 rows, 250 columns (csv format), I want to plot about 250 columns I use the matplotlib and numpy, source is like this about

问题 When I plot my data through rect() (from Bokeh) I get a singular line of horizontal blocks in my visualization. The data prints out correctly and as far as I know formatted correctly ( type() verified that they all were lists). Can anyone diagnose this? If the problem is not here then I can append more code. (If needed: Running Python 2.7.6 on Ubuntu 14.04) from bokeh.plotting import * from bokeh.objects import HoverTool, ColumnDataSource output_notebook() #All the same color just for testing

问题 I have a private repo on github and I am experimenting with bokeh. I edit the file in my ipython notebook locally and I can see the plot working. When I push them on github and try to visualize it online I can see all the code except for the graph. On nbviewer I can see other notebooks using bokeh. Is there any difference between the github rendering engine and nbviewer? 回答1: I know this is old, but if someone comes across it in the future... There are two possibilities: GitHub does not