bokeh

问题 My Bokeh version is 0.12.13 and Python 3.6.0 I modified the example code available here: https://docs.bokeh.org/en/latest/docs/user_guide/plotting.html I have just tried to add one extra y range. from bokeh.plotting import output_file, figure, show from bokeh.models import LinearAxis, Range1d x = [1,2,3,4,5] y = [1,2,3,4,5] y2 = [10,9,8,7,6] y3 = [23,24,25,26,27] output_file("twin_axis.html") p = figure(x_range=(0,6), y_range=(0,6)) p.circle(x, y, color="red") p.extra_y_ranges = {"foo1":

问题 I'm new both to Bokeh and Flask. I browsed related questions, tutorials, and looked at Bokeh docs but could not figure out what I'm doing wrong. That being said, I want to create a simple web-app in which I "group together" various data reports and plots. According to what I read, I came up with the following: app.py: ... # imports app = Flask(__name__, static_url_path='/static') @app.route("/") def index(): return render_template("index.html") @app.route("/bokeh_test") def bokeh_test():

问题 How can I make a correlation heatmap in Bokeh? import pandas as pd import bokeh.charts df = pd.util.testing.makeTimeDataFrame(1000) c = df.corr() p = bokeh.charts.HeatMap(c) # not right # try to make it a long form # (and it's ugly in pandas to use 'index' in melt) c['x'] = c.index c = pd.melt(c, 'x', ['A','B','C','D']) # this shows the right 4x4 matrix, but values are still wrong p = bokeh.charts.HeatMap(c, x = 'x', y = 'variable', values = 'value') By the way, can I make a colorbar on the

问题 I'm trying to integrate a Bokeh "autoloaded" server into a Flask app where the set of data to load would be chosen by the user on another page. The ID of this set of data is in the URL (get parameter), and I'm not able to send it from the Flask app to the Bokeh server. Some example code: # flask_app.py import subprocess import atexit import subprocess, os from flask import render_template, render_template_string, Flask from bokeh.embed import autoload_server from bokeh.client import pull

问题 I prepared two ColumnDataSource which has different data set for y axis. plot.line('x', 'y', source=source, line_width=2) plot.circle('x', 'y', source=source, fill_color="blue", size=8) plot.vbar(x='x', top='y', source=source1, width=0.5, bottom=0, fill_color="red")#this part doesn't work. And line and circle does work but when I tried to show the vbar for another data, it doesn't show but seems like the range of the axis is changed by the vbar codes. I tried to show only the vbar graph on

问题 Bokeh version: 0.10 Python: 3.4 Jupiter: 4.x Goal: create a table that only shows data selected from a scatter plot Problem: the DataTable only refreshes itself after being clicked on despite the: s2.trigger('change'). In other examples on Bokeh site one plot will update another using this technique: see http://docs.bokeh.org/en/latest/docs/user_guide/interaction.html#customjs-for-selections the code below should run in a Jupyter notebook if you're using the above mentioned versions. and,

问题 I'm trying to adapt the brewer example (http://docs.bokeh.org/en/latest/docs/gallery/stacked_area.html) to my needs. One of the things I'd like is to have dates at the x-axis. I did the following: timesteps = [str(x.date()) for x in pd.date_range('1950-01-01', '1951-07-01', freq='MS')] p = figure(x_range=FactorRange(factors=timesteps), y_range=(0, 800)) p.xaxis.major_label_orientation = np.pi/4 as an adaptation of the previous line p = figure(x_range=(0, 19), y_range=(0, 800)) The dates are

问题 I have a simple bokeh server application and I want to expose it on a Linux-based Azure node. The server is there up and running. My question is: how to protect the content by username and password? I do not need necessarily authentication of users. My ideas so far (not tried, may not work) To create an extra bokeh server page with a text field. On the callback for a button, to add the test if the password fits. If it does, to redirect to the original server page. Otherwise, inform the user

问题 I have a simple bokeh server application and I want to expose it on a Linux-based Azure node. The server is there up and running. My question is: how to protect the content by username and password? I do not need necessarily authentication of users. My ideas so far (not tried, may not work) To create an extra bokeh server page with a text field. On the callback for a button, to add the test if the password fits. If it does, to redirect to the original server page. Otherwise, inform the user

问题 I'm trying to set up a Bokeh server and reverse proxy it with Nginx. My p-website.conf now looks like: server { listen 80; server_name website.com; client_max_body_size 25M; access_log /var/www/logs/p-website.access.nginx.log; error_log /var/www/logs/p-website.error.nginx.log error; root /var/www/pydocs/website/production/src; include global/restrictions.conf; location /plot/ { proxy_pass http://website.com:5100; proxy_set_header Upgrade $http_upgrade; proxy_set_header Connection "upgrade";