bokeh

I am trying to plot a basic barchart but I keep seeing an error called 'StopIteration'. I am following an example, and the code seems fine: amount = bugrlary_dict.values() months = ["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"] print len(amount) print len(months) bar = Bar(amount, months, filename="bar.html") bar.title("Bar Chart of the Amount of Burglaries").xlabel("Months").ylabel("Amount") bar.show() Leb UPDATE this answer is out of date and will not work with Bokeh versions newer than 0.10 Please refer to recent documentation You're passing invalid input. From

Edit: The code in the original question refers to a version of Bokeh that is years out of date. But the answer below has been updated to answer the same question for modern versions of Bokeh Bokeh Plot with a nominal axis type from bokeh.plotting import * from bokeh.objects import * output_notebook() label = ['United States', 'Russia', 'South Africa', 'Europe (average)', 'Canada', 'Austalia', 'Japan'] number = [1, 2, 3, 4, 5, 6, 7] value = [700, 530, 400, 150, 125, 125, 75] yr = Range1d(start=0, end=800) figure(y_range=yr) rect(number, [x/2 for x in value] , width=0.5, height=value, color = "

I want to draw a vbar plot using bokeh, where x-axis takes datetime and y-axis takes categorical values. Initially I tried circle plot as follows: import pandas as pd from datetime import datetime from dateutil.parser import parse from bokeh.plotting import figure, show, output_notebook from bokeh.models.ranges import FactorRange x = pd.Series(['2017/1/1', '2017/1/2', '2017/1/3', '2017/1/4']).map(lambda x: parse(x)) y = ["a", "b", "c", "a"] p = figure(x_axis_type='datetime', y_range=list(set(y)), plot_width=400, plot_height=200) p.circle(x, y, size=10, line_color="blue", line_width=1) show(p)

I was looking for a way to eliminate the "spaces" in the x-axis where there is no data, this for a bokeh graph. Then I stumbled on an example here: How do I make bokeh omit missing dates when using datetime as x-axis The example: from math import pi import pandas as pd from bokeh.sampledata.stocks import MSFT from bokeh.plotting import figure, show, output_file from bokeh.models.formatters import TickFormatter, String, List # In this custom TickFormatter, xaxis labels are taken from an array of date # Strings (e.g. ['Sep 01', 'Sep 02', ...]) passed to the date_labels property. class

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 am currently working on this simple project using bokeh plotting through a server, attempting to move a circle in a circle. The two examples that I have been trying to learn from are https://github.com/bokeh/bokeh/blob/master/examples/plotting/server/animated.py and https://github.com/bokeh/bokeh/blob/master/examples/plotting/server/line_animate.py As their documentation is

I want Bokeh to update periodically and arbitrarily when the results from a separate algorithm running in python returns results, not based on any input from the Bokeh interface. I've tried various solutions but they all depend on a callback to a some UI event or a periodic callback as in the code below. import numpy as np from bokeh.plotting import figure, curdoc from bokeh.models import ColumnDataSource, Plot, LinearAxis, Grid from bokeh.models.glyphs import MultiLine from time import sleep from random import randint def getData(): # simulate data acquisition # run slow algorith sleep