I'm browsing around for some functionalities and looking at the tutorials always proved to be useful for this. However a I'm running into some issues that may be worth reporting/fixing.

My versions:

Python 3.4.5
IPython - 4.2.0
Pandas - 0.18.0
Bokeh - 0.12.1dev2

• Hoover example in 03 - styling,ipynb is not working: The plot is static for me.
• Jupyter interactors example in 04 - interactions.ipynb: the widget doesn't snow up, I got only this <function __main__.update> as output
• WMTS Tile Source figures are broken as the tile access has been discontinued.
• More recent releases of datashader are not uploaded to pypi? (I didn't check the notebook as still have some installing issues).
• Second cell in A2 - Building gapminder.ipynb raises several deprecation warnings, and later cells raises TypeErrors, basically none of the cells produce a single plot.

bokeh-notebooks - gallery Can not open the notebooks .ipynb in the gallery
I am in windows 7 - bokeh version 0.8.1

2015-03-21 14:41:04.543 [NotebookApp] WARNING | Unreadable Notebook: C:\Users\Amit\Documents\IPython Notebooks\S00_Blaze_Bokeh\bokeh-notebooks\gallery
\bollinger.ipynb name 'NBFormatError' is not defined
WARNING:tornado.access:400 GET /api/notebooks/S00_Blaze_Bokeh/bokeh-notebooks/gallery/bollinger.ipynb?=1426948863684 (127.0.0.1) 37.00ms referer=http
://localhost:8888/notebooks/S00_Blaze_Bokeh/bokeh-notebooks/gallery/bollinger.ipynb
2015-03-21 14:41:15.954 [NotebookApp] WARNING | Unreadable Notebook: C:\Users\Amit\Documents\IPython Notebooks\S00_Blaze_Bokeh\bokeh-notebooks\gallery
\burtin.ipynb name 'NBFormatError' is not defined
WARNING:tornado.access:400 GET /api/notebooks/S00_Blaze_Bokeh/bokeh-notebooks/gallery/burtin.ipynb?=1426948875024 (127.0.0.1) 45.00ms referer=http://
localhost:8888/notebooks/S00_Blaze_Bokeh/bokeh-notebooks/gallery/burtin.ipynb
2015-03-21 14:41:25.904 [NotebookApp] WARNING | Unreadable Notebook: C:\Users\Amit\Documents\IPython Notebooks\S00_Blaze_Bokeh\bokeh-notebooks\gallery
\linked_brushing.ipynb name 'NBFormatError' is not defined
WARNING:tornado.access:400 GET /api/notebooks/S00_Blaze_Bokeh/bokeh-notebooks/gallery/linked_brushing.ipynb?_=1426948885363 (127.0.0.1) 43.50ms refere
r=http://localhost:8888/notebooks/S00_Blaze_Bokeh/bokeh-notebooks/gallery/linked_brushing.ipynb
2015-03-21 14:41:52.151 [NotebookApp] WARNING | Notebook S00_Blaze_Bokeh/bokeh-notebooks/tutorial/exercises/advanced/01-les-miserables.ipynb is not tr
usted

2015-03-21 14:48:49.845 [NotebookApp] WARNING | Unreadable Notebook: C:\Users\Amit\Documents\IPython Notebooks\S00_Blaze_Bokeh\bokeh-notebooks\index.i
pynb name 'NBFormatError' is not defined
WARNING:tornado.access:400 GET /api/notebooks/S00_Blaze_Bokeh/bokeh-notebooks/index.ipynb?=1426949329243 (127.0.0.1) 30.00ms referer=http://localhost
:8888/notebooks/S00_Blaze_Bokeh/bokeh-notebooks/index.ipynb
2015-03-21 14:49:29.277 [NotebookApp] WARNING | Unreadable Notebook: C:\Users\Amit\Documents\IPython Notebooks\S00_Blaze_Bokeh\bokeh-notebooks\quickst
art\quickstart.ipynb name 'NBFormatError' is not defined
WARNING:tornado.access:400 GET /api/notebooks/S00_Blaze_Bokeh/bokeh-notebooks/quickstart/quickstart.ipynb?=1426949368564 (127.0.0.1) 56.00ms referer=
http://localhost:8888/notebooks/S00_Blaze_Bokeh/bokeh-notebooks/quickstart/quickstart.ipynb
2015-03-21 14:53:15.471 [NotebookApp] WARNING | Unreadable Notebook: C:\Users\Amit\Documents\IPython Notebooks\S00_Blaze_Bokeh\bkh00_quick-start.ipynb
Notebook does not appear to be JSON: '{\ncells: [\n{\ncell_type: "markdown",...
WARNING:tornado.access:400 GET /api/notebooks/S00_Blaze_Bokeh/bkh00_quick-start.ipynb?_=1426949594843 (127.0.0.1) 52.00ms referer=http://localhost:888
8/notebooks/S00_Blaze_Bokeh/bkh00_quick-start.ipynb

Hi Bryan, having issues with 11. Running Bokeh applications, only when embedding in Jupyter notebooks.
At show(modify_doc) I get the following exception:
AttributeError: 'function' object has no attribute 'references'
This also occurs when I pass notebook_url="http://localhost:8888".

My bokeh version is 0.12.10, iPython ver 6.1.0, Python 3.6.3
Any help is appreciated here.
Thank you.

Make work with latest jupyter.

In section 07. Sharing and Embedding of the Bokeh Tutorial, the first code example pulls data from icharts.yahoo.com using the URL http://ichart.yahoo.com/table.csv?s=AAPL&a=0&b=1&c=2000&d=0&e=1&f=2015

Unfortunately, this service has been discontinued by the Yahoo finance team sometime around May, 2017, according to info in this thread: https://forums.yahoo.net/t5/Yahoo-Finance-help/Is-Yahoo-Finance-API-broken/m-p/251312#M3123

There are rumors that Google offers a similar service. Perhaps the code could be updated to use Google instead of Yahoo?

Hey @ghltshubh ,I was going through the tutorials in bokeh...there are around 50 spelling mistakes(not including bad formatting,comma issues,phrasing..just plain spelling mistakes) @bryevdv pointed me to here to make the neccessary change request.. I am quite new to open source contribution or programming..but I can read:)...I read the guidelines for contributing...I created the environment and installed the requirements..

(bokeh-notebooks) ashwani@afj:~/bokeh-notebooks$ conda info

     active environment : bokeh-notebooks
    active env location : /home/ashwani/miniconda3/envs/bokeh-notebooks
            shell level : 2
       user config file : /home/ashwani/.condarc
 populated config files : 
          conda version : 4.8.2
    conda-build version : not installed
         python version : 3.7.6.final.0
       virtual packages : __glibc=2.27
       base environment : /home/ashwani/miniconda3  (writable)
           channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/linux-64
                          https://repo.anaconda.com/pkgs/r/noarch
          package cache : /home/ashwani/miniconda3/pkgs
                          /home/ashwani/.conda/pkgs
       envs directories : /home/ashwani/miniconda3/envs
                          /home/ashwani/.conda/envs
               platform : linux-64
             user-agent : conda/4.8.2 requests/2.22.0 CPython/3.7.6 Linux/4.15.0-101-generic ubuntu/18.04.4 glibc/2.27
                UID:GID : 1000:1000
             netrc file : None
           offline mode : False

But I am stuck at this point when I run the 3) point on running the notebooks
I used the command for running

git ls-files -z \*.ipynb | xargs -0 jupyter nbconvert --to notebook --inplace --execute

------------------

--------------------------------------------------------------------------
KeyError                                 Traceback (most recent call last)
<ipython-input-2-f97db1205866> in <module>
      6 
      7 # Replace the value below with your personal API key:
----> 8 api_key = os.environ["GOOGLE_API_KEY"]
      9 
     10 p = gmap(api_key, map_options, title="Austin")

~/miniconda3/envs/bokeh-notebooks/lib/python3.7/os.py in __getitem__(self, key)
    677         except KeyError:
    678             # raise KeyError with the original key value
--> 679             raise KeyError(key) from None
    680         return self.decodevalue(value)
    681 

KeyError: 'GOOGLE_API_KEY'
KeyError: 'GOOGLE_API_KEY'

details about system:

(bokeh-notebooks) ashwani@afj:~/bokeh-notebooks$ screenfetch
                          ./+o+-       ashwani@afj
                  yyyyy- -yyyyyy+      OS: Ubuntu 18.04 bionic
               ://+//////-yyyyyyo      Kernel: x86_64 Linux 4.15.0-101-generic
           .++ .:/++++++/-.+sss/`      Uptime: 3h 3m
         .:++o:  /++++++++/:--:/-      Packages: 2798
        o:+o+:++.`..```.-/oo+++++/     Shell: bash 4.4.20
       .:+o:+o/.          `+sssoo+/    Resolution: 1920x1080
  .++/+:+oo+o:`             /sssooo.   DE: GNOME 
 /+++//+:`oo+o               /::--:.   WM: GNOME Shell
 \+/+o+++`o++o               ++////.   WM Theme: Adwaita
  .++.o+++oo+:`             /dddhhh.   GTK Theme: Ambiance [GTK2/3]
       .+.o+oo:.          `oddhhhh+    Icon Theme: ubuntu-mono-dark
        \+.++o+o``-````.:ohdhhhhh+     Font: Ubuntu 11
         `:o+++ `ohhhhhhhhyo++os:      CPU: Intel Core i5-8250U @ 8x 3.4GHz [0°C]
           .o:`.syhhhhhhh/.oo++o`      GPU: Mesa DRI Intel(R) UHD Graphics 620 (Kabylake GT2) 
               /osyyyyyyo++ooo+++/     RAM: 2040MiB / 7880MiB
                   ````` +oo+++o\:    
                          `oo++.      

What is the possible solution??I asked @bryevdv about giving more context on how to make the changes here but he is little busy :) with his work..can you give me more context :) on how to go about making changes here??

tutorial 10 explicitly links in the CSS from cdn.pydata.org. When we stop having the empty CSS files there, it will break.

Also, the version of the CSS and JS being linked in the tutorial is old. Probably need to search for 'bokeh-\d+.\d+.\d+' and replace it with the version set in envioronment.yml

I'm trying to find a working example of Bokeh with a slider. Are there any available?

Cell 2 has
from bokeh.tile_providers import WMTSTileSource which returns
ImportError: cannot import name 'WMTSTileSource

I believe the WMTSTileSource it's looking for
class WMTSTileSource(MercatorTileSource): is at
https://github.com/bokeh/bokeh/blob/359a9fa8e2cb0406bd06b57e233b221cb916fae8/bokeh/models/tiles.py#L95

Hello,

I have a question about the dependencies listed in environment.yml :
What is the rationale behind the following dependencies:

• firefox
• selenium
• geckodriver

Especially the firefox dependency is pretty heavy, and I was wondering what that is a requirement in the first place.
Thank you for your answers in advance.

Hi,
I'm just starting to play around with datashader following one of your notebooks from the webinar and am getting the error below. My dataframe has about 10 mil points, floating point, no nans. This is run in a notebook as in the webinar. I'm running 2.7, datashader-0.1.0, bokeh-0.11.1, MacOSX. Many thanks! Evan

p = figure(
x_range=(0, 1),
y_range=(0, 1),
tools='pan,wheel_zoom,box_zoom,reset',
plot_width=500,
plot_height=500,
)
pipeline = ds.Pipeline(df, ds.Point("s3", "modscag"))
InteractiveImage(p, pipeline)

TypeError: Cannot read property '$' of undefined
at Array.inline_js (eval at (http://localhost:8889/static/notebook/js/main.min.js?v=40e10638fcf65fc1c057bff31d165e9d:89:4231), :54:14)
at run_inline_js (eval at (http://localhost:8889/static/notebook/js/main.min.js?v=40e10638fcf65fc1c057bff31d165e9d:89:4231), :67:21)
at eval (eval at (http://localhost:8889/static/notebook/js/main.min.js?v=40e10638fcf65fc1c057bff31d165e9d:89:4231), :77:9)
at eval (eval at (http://localhost:8889/static/notebook/js/main.min.js?v=40e10638fcf65fc1c057bff31d165e9d:89:4231), :11:67)
at Array.forEach (native)
at run_callbacks (eval at (http://localhost:8889/static/notebook/js/main.min.js?v=40e10638fcf65fc1c057bff31d165e9d:89:4231), :11:38)
at load_libs (eval at (http://localhost:8889/static/notebook/js/main.min.js?v=40e10638fcf65fc1c057bff31d165e9d:89:4231), :23:9)
at eval (eval at (http://localhost:8889/static/notebook/js/main.min.js?v=40e10638fcf65fc1c057bff31d165e9d:89:4231), :77:7)
at eval (eval at (http://localhost:8889/static/notebook/js/main.min.js?v=40e10638fcf65fc1c057bff31d165e9d:89:4231), :82:4)
at eval (native)

Simplify the pointers to more info and contacts to link to the toplevel "brand" page bokeh.org instead of duplicating that info across all of the bokeh repos.

Maybe we should have an extra topics notebook to wrap things up and point people to other things

• We don't cover the ajax source - something like the airports demo - I think we should at least demo it.
• Other data sources
• Annotations
• Questions we get asked a lot & we should probably address:
• How do you do x - point people to examples - maybe even get people to run one - find them on their machine
• Legend - customizing & off canvas
• Hover for a specific thing
• All the server things - we should at least mention what it is and what's happening with it
• Mapping / geo - we should at least mention current limitations & what's happening

index.ipynb still links to glyphs.ipynb and vector.ipynb which have been removed in 8919ed2

• I'd like to re-order the lesson plan to:
• Intro (10 minutes)
• Charts (message - quick & dirty for quick exploration) -
• Plotting (control most things very easily)
• Styling and Visual Appearance (based on plotting)
• Adding Interactions (based on plotting)
• Sharing and Embedding Bokeh Plots
• Models (low level, control all the things)

• references apps/movies.html (404), should be apps/movies
• ocean demo is down (do we even support downsampling?)
• jsfiddle references bokeh 0.8.0 (!)

It's unclear under what terms these notebooks can be used, remixed or shared. Please add a license 🙏

I have a red error box showing up at the top of my notebook - which has now become unresponsive. This is on the navbar, I guess, to the right of "Widgets Help". But there is no message, no explanation, no pop up, no nothing. What am I supposed to do with that? How would I know if the issue is bokeh, binder, or some dependency? I've got nothing to go on here!!! https://notebooks.gesis.org/binder/jupyter/user/bokeh-bokeh-notebooks-lmhpedwb/notebooks/tutorial/01%20-%20Basic%20Plotting.ipynb#

The env is still only confgured for phantomjs, tho !conda installing gecko/FF from a notebook cell does not seem suffient to get things working on binder (driver not found)

Should be the things that are possible with snippets / links to code - not such a deep dive.

@bryevdv - where are your euroscipy tutorial slides?

Hi!
Sorry for bothering and many thanks for bokeh!

I would greatly appreciate if anyone could help me recolving an issue.
It is clear how one can update contents of a 1D graph in a dynamic fashion - upon events, but updating 2D images content - is not clear. Here I am refering to the updates of 2D images shown with p.image(image=[np.array(..)],level="image").

I have tried to do the following without any success. Would it be possible to make an example notebook?
I am providing a simple code I tried.

`
from bokeh.layouts import column, row
from bokeh.plotting import figure
from bokeh.models import ColumnDataSource, Select, TextInput

def simple_app(doc):

p = figure(tools="", toolbar_location=None)

p = figure(tooltips=[("x", "$x"), ("y", "$y"), ("value", "@image")])
p.x_range.range_padding = p.y_range.range_padding = 0

r = p.image(image=[np.zeros((200,200))], x=0, y=0, dw=10, dh=10, palette="Spectral11", level="image")

select = Select(title="Select data", value="file2", options=['file1','file2'])

def update_data(attrname, old, new):
    tdata = {"file1": np.random.rand(200,200)*3,
             "file2": np.random.rand(200,200)*5.,
            }
    # reading files        
    cd = ColumnDataSource(data={'image': tdata[select.value]})
    print(f"Selected {select.value}")
    r.data_source = cd

select.on_change('value', update_data)

layout = column(row(select, width=200), row(p))

doc.add_root(layout)

show(simple_app)
`

I do not understand what the call is trying to do, so cannot fix it myself.
Here is part of the Traceback:

ValueError Traceback (most recent call last)
in ()
2 keys = [(p,f) for p in phases for f in freqs]
3
----> 4 hv.HoloMap([(k, hv.Image(sine(grid, *k))) for k in keys], dims) + hv.HoloMap([(k, hv.Curve(zip(dist, sine(dist2, *k)),vdims=dims['vdims'])) for k in keys], **dims)
...
/Users/EDobbins/anaconda2/lib/python2.7/site-packages/param/init.pyc in _check_bounds(self, val)
1174 if min_length is not None and max_length is not None:
1175 if not (min_length <= l <= max_length):
-> 1176 raise ValueError("%s: list length must be between %s and %s (inclusive)"%(self._attrib_name,min_length,max_length))
1177 elif min_length is not None:
1178 if not min_length <= l:

ValueError: vdims: list length must be between 0 and 0 (inclusive)

Also, there are 2 examples which use deprecated options which can be changed when the bug is fixed.

The first code block refers to:
hv.notebook_extension('bokeh'=True)
which should be changed to:
hv.extension('bokeh')

The 2nd example in the External Data Sources give a warning that the mdims argument should be changed to groupby.

Tutorial number 5 (Presentation and Layout) has the following exercise:

In [4]: # EXERCISE: use column to arrange a few plots vertically

When doing this exercise it took me some time to realise that I had to import column.

I think the tutorial can be improved for new users if either the import is already in the code: from bokeh.layouts import row, column

or, probably even better because it makes the user take action, if the exercise remembers the user that he has to import column, for example:

In [4]: # EXERCISE: use column to arrange a few plots vertically. Don't forget to import column.

Hi! I am new to Bokeh and wanted to try it out. I installed it with pip and cloned the bokeh-notebooks repository. I went to the 5 min Overview. The first three steps run through, the 4th step:

p = figure(width=500, height=500)
p.circle(x, y, size=7, color="firebrick", alpha=0.5)
show(p)

doesn't show a picture. Instead I get an error 404 in the browser console. And the following warning:

Failed to load resource: the server responded with a status of 404 (Not Found)
main.min.js:34110 Widgets are not available. Please install widgetsnbextension or ipywidgets 4.0
(anonymous) @ main.min.js:34110

Do I have to install one of the two packages? If yes, which one should I use?

Seen in notebook 03 - interactions: section Jupyter Interactions.

CELL:

import numpy as np
from bokeh.io import push_notebook

x = np.linspace(0, 2*np.pi, 2000)
y = np.sin(x)

source = ColumnDataSource(data=dict(x=x, y=y))

p = figure(title="simple line example", plot_height=300, plot_width=600, y_range=(-5, 5))
p.line(x, y, color="#2222aa", alpha=0.5, line_width=2, source=source, name="foo")

def update(f, w=1, A=1, phi=0):
    if   f == "sin": func = np.sin
    elif f == "cos": func = np.cos
    elif f == "tan": func = np.tan
    source.data['y'] = A * func(w * x + phi)
    push_notebook()
    
show(p, notebook_handle=True)

OUTPUT:

/home/adrsta/anaconda3/envs/tensorflow/lib/python3.5/site-packages/bokeh/util/deprecation.py:34: BokehDeprecationWarning: 
Supplying a user-defined data source AND iterable values to glyph methods is deprecated.

See https://github.com/bokeh/bokeh/issues/2056 for more information.

  warn(message)
/home/adrsta/anaconda3/envs/tensorflow/lib/python3.5/site-packages/bokeh/util/deprecation.py:34: BokehDeprecationWarning: 
Supplying a user-defined data source AND iterable values to glyph methods is deprecated.

See https://github.com/bokeh/bokeh/issues/2056 for more information.

  warn(message)

I think it's good to mention the methods "add_glyph, add_tools, add_layout" which can be used on a chart, figure, or plot.

Mention in each briefly and then repetition will kick in? Or don't mention in charts as you're just getting going?

@birdsarah, I noticed that when I run bubble_plot.py with python 2, the slider doesn't work. Looking at the debugger, this seems to be a unicode issue. It's trying to look up "u_1964" when the actual key is "_1964."

created environment file using the repo's environment.yml and was getting the below error quite frequently.

[E 22:54:05.375 NotebookApp] Notebook JSON is invalid: 'application/vnd.bokehjs_load.v0+json' does not match any of the regexes: '^(?!application/json$)[a-zA-Z0-9]+/[a-zA-Z0-9\\-\\+\\.]+$'
    
    Failed validating 'additionalProperties' in display_data['properties']['data']:
    
    On instance['cells'][5]['outputs'][1]['data']:
    {'application/javascript': '\n'
                               '(function(root) {\n'
                               '  function now() {\n'
                               '    return new Date();\n'
                               '  }...',
     'application/vnd.bokehjs_load.v0+json': '\n'
                                             '(function(root) {\n'
                                             '  function now() {\n'
                                             '    return new Date();\n'
                                             '  }...'}

some searching indicated to install conda install -n bokeh nbformat

and problem seems to have gone away

from bokeh.io import output_notebook, show
from bokeh.plotting import figure
output_notebook()

from math import pi
import pandas as pd
from bokeh.palettes import Category20c
from bokeh.transform import cumsum

x = { 'United States': 157, 'United Kingdom': 93, 'Japan': 89, 'China': 63,
'Germany': 44, 'India': 42, 'Italy': 40, 'Australia': 35, 'Brazil': 32,
'France': 31, 'Taiwan': 31, 'Spain': 29 }

data = pd.Series(x).reset_index(name='value')
data = data.rename(columns={'index':'country'})
data['color'] = Category20c[len(x)]

represent each value as an angle = value / total * 2pi

data['angle'] = data['value']/data['value'].sum() * 2*pi
p = figure(plot_height=350, title="Pie Chart", toolbar_location=None,
tools="hover", tooltips="@Country: @value")

p.wedge(x=0, y=1, radius=0.4,start_angle=cumsum('angle', include_zero=True),
end_angle=cumsum('angle'), line_color="white", fill_color='color',
legend_field='country',
source=data)

p.axis.axis_label=None
p.axis.visible=False
p.grid.grid_line_color = None

show(p)

AttributeError Traceback (most recent call last)
in
29 end_angle=cumsum('angle'), line_color="white", fill_color='color',
30 legend_field='country',
---> 31 source=data)
32
33 p.axis.axis_label=None

fakesource in wedge(self, x, y, radius, start_angle, end_angle, direction, **kwargs)

~/anaconda3/lib/python3.7/site-packages/bokeh/plotting/helpers.py in func(self, **kwargs)
818 mglyph_ca = None
819
--> 820 glyph = _make_glyph(glyphclass, kwargs, glyph_ca)
821 nsglyph = _make_glyph(glyphclass, kwargs, nsglyph_ca)
822 sglyph = _make_glyph(glyphclass, kwargs, sglyph_ca)

~/anaconda3/lib/python3.7/site-packages/bokeh/plotting/helpers.py in _make_glyph(glyphclass, kws, extra)
359 kws = kws.copy()
360 kws.update(extra)
--> 361 return glyphclass(**kws)
362
363

~/anaconda3/lib/python3.7/site-packages/bokeh/model.py in init(self, **kwargs)
259 self._document = None
260 self._temp_document = None
--> 261 super(Model, self).init(**kwargs)
262 default_theme.apply_to_model(self)
263

~/anaconda3/lib/python3.7/site-packages/bokeh/core/has_props.py in init(self, **properties)
251
252 for name, value in properties.items():
--> 253 setattr(self, name, value)
254
255 def setattr(self, name, value):

~/anaconda3/lib/python3.7/site-packages/bokeh/core/has_props.py in setattr(self, name, value)
286
287 raise AttributeError("unexpected attribute '%s' to %s, %s attributes are %s" %
--> 288 (name, self.class.name, text, nice_join(matches)))
289
290 def str(self):

AttributeError: unexpected attribute 'legend_field' to Wedge, possible attributes are direction, end_angle, end_angle_units, fill_alpha, fill_color, js_event_callbacks, js_property_callbacks, line_alpha, line_cap, line_color, line_dash, line_dash_offset, line_join, line_width, name, radius, radius_units, start_angle, start_angle_units, subscribed_events, tags, x or y

Working my way through Tutorial 10, I got a warning message saying that bkcharts is a separate API now, and "from bokeh.charts import Scatter" will be deprecated in Bokeh 1.0. Also, all the documentation for Charts seems to have been removed from the current Users Guide and References, which makes the Exercises awkward. And 2 of the links at the bottom are broken.

If appropriate, I'm willing to make a PR to transition this to the new API. Should it wait till Bokeh 1.0 is released? Is there new documentation for bkcharts?

A minor point: in the Stacked Bar example, I expected the order of the bars (colors) to be the same for every year, but they were not, even after I sorted the Dataframe. Sometimes the red bar was at the bottom, sometimes in the middle, and once on the top (screenshot attached). Is this a longstanding issue with Bar charts?

Problem

The 02 - Styling and Theming breaks at cell [10].

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-10-9b6655e825c9> in <module>()
      1 from bokeh.models.tools import HoverTool
----> 2 from bokeh.sampledata.glucose import data
      3 
      4 subset = data.loc['2010-10-06']
      5 

/srv/conda/lib/python3.6/site-packages/bokeh/sampledata/glucose.py in <module>()
     55 #-----------------------------------------------------------------------------
     56 
---> 57 data = external_csv('glucose', 'CGM.csv', sep=',', parse_dates=[1], index_col=1)

/srv/conda/lib/python3.6/site-packages/bokeh/util/api.py in wrapper(*args, **kw)
    188         @wraps(obj)
    189         def wrapper(*args, **kw):
--> 190             return obj(*args, **kw)
    191 
    192         wrapper.__bkversion__ = version

/srv/conda/lib/python3.6/site-packages/bokeh/util/sampledata.py in external_csv(module, name, **kw)
     93     '''
     94     pd = import_required('pandas', '%s sample data requires Pandas (http://pandas.pydata.org) to be installed' % module)
---> 95     return pd.read_csv(external_path(name), **kw)
     96 
     97 @dev((1,0,0))

/srv/conda/lib/python3.6/site-packages/bokeh/util/api.py in wrapper(*args, **kw)
    188         @wraps(obj)
    189         def wrapper(*args, **kw):
--> 190             return obj(*args, **kw)
    191 
    192         wrapper.__bkversion__ = version

/srv/conda/lib/python3.6/site-packages/bokeh/util/sampledata.py in external_path(filename)
    130 @dev((1,0,0))
    131 def external_path(filename):
--> 132     data_dir = external_data_dir()
    133     fn = join(data_dir, filename)
    134     if not exists(fn) and isfile(fn):

/srv/conda/lib/python3.6/site-packages/bokeh/util/api.py in wrapper(*args, **kw)
    188         @wraps(obj)
    189         def wrapper(*args, **kw):
--> 190             return obj(*args, **kw)
    191 
    192         wrapper.__bkversion__ = version

/srv/conda/lib/python3.6/site-packages/bokeh/util/sampledata.py in external_data_dir(create)
    116     if not exists(data_dir):
    117         if not create:
--> 118             raise RuntimeError('bokeh sample data directory does not exist, please execute bokeh.sampledata.download()')
    119         print("Creating %s directory" % data_dir)
    120         try:

RuntimeError: bokeh sample data directory does not exist, please execute bokeh.sampledata.download()

Bad fix

import bokeh
bokeh.sampledata.download()

Obviously solve the issue, but I guess it is a binder configuration file that would sort things out.

Hi,

I'm looking for how implement something very close to Downsampling example here https://github.com/bokeh/bokeh-notebooks/blob/master/quickstart/quickstart.ipynb
Is it right that Downsampling was replaced by Datashader?
Any comments gentlemen: @jbednar , @pzwang ?

If it's so - then obviously this example needs to be re-implemented using Datashader or something similar to it...

What I'm trying to do is to visualize a big cube of data sitting on remote machine. And I need to QC it in all directions (XY, XZ, YZ). Obviously number of points per slice are few billions, but resolution on the client will be quite small so all the data is not needed.
I thought that bokeh has a perfect solution and was very happy when I've found this example - but, unfortunately, I couldn't find it's implementation or any other details and Datashader module looks like more designed for scatter plots rather than images.

Please help.

Sincerely,
Thoth.

This will reduce the overall size of notebooks, which currently is incredibly large (about 90 megs). This will also simplify updating to new versions of bokeh.

In file “04 - Data Sources and Transformations.ipynb”, there is a typo between In[7] and In[8]. The "glhph methods" should be "glyph", I guess.

revamp the charts section

• new features
• new syntax
• have a text note about any new limitations / current limitations
• how to use your old charts
• plans / upgrades.

Could not get the bokeh howto jupyter notebooks to work. I am not using Anaconda yet. Having too much trouble with Pycharm allowing things to work.

Installing anaconda as we speak. I hope this solves the problem.

I agree with the assessment that Anaconda is better than pip everything and virtualenv. I am new to python development but I will follow this recommendation.

In https://github.com/bokeh/bokeh-notebooks/blob/master/tutorial/09%20-%20Geographic%20Plots.ipynb in cell 1

It is often useful to be able to relate datasets with their real-world context. You can plot geographic data just like any other type of data, as in the Texas Unemployment example, but Bokeh also Bokeh provides several specialized mechanisms for plotting data in geographic coordinates:

Texas Unemployment example is linked to http://nbviewer.jupyter.org/github/bokeh/bokeh-notebooks/blob/master/gallery/texas.ipynb which no longer exists. I believe new link is https://bokeh.pydata.org/en/latest/docs/gallery/texas.html

#54

from math import pi
from bokeh.sampledata.glucose import data

week = data.loc['2010-10-01':'2010-10-08']

p = figure(x_axis_type="datetime", title="Glocose Range", plot_height=350, plot_width=800)
p.xaxis.formatter.days = '%m/%d/%Y'
p.xaxis.major_label_orientation = pi/3

p.line(week.index, week.glucose)

show(p)

this code have AttributeError: '_list_attr_splat' object has no attribute 'formatter'
I want solution please

In file quickstart.ipynb, there is a typo at the first sentense of session "Bokeh Application". It should be "easily", not "eqsily", I guess.

In file “04 - Data Sources and Transformations.ipynb”, there is a typo between In[7] and In[8]. The "glhph methods" should be "glyph", I guess.

In file "05 - Presentation Layouts.ipynb", There is a typo in 3rd sentense "Boeh plots can be individually embedded in HTML documents". It should be "Bokeh", I guess.

In quickstart.ipynb, for the Linked Brushing example, when I run the following line:

source = ColumnDataSource(autompg)

I get the following error:

---

ValueError Traceback (most recent call last)
in
----> 1 source = ColumnDataSource(autompg)

~\Miniconda3\envs\ds\lib\site-packages\bokeh\models\sources.py in init(self, *args, **kw)
192 raw_data = self._data_from_groupby(raw_data)
193 else:
--> 194 raise ValueError("expected a dict or pandas.DataFrame, got %s" % raw_data)
195 super().init(**kw)
196 self.data.update(raw_data)

ValueError: expected a dict or pandas.DataFrame, got mpg cyl displ hp weight accel yr origin \

autompg is a dataframe that worked fine for the previous bar plot example. I am running Bokeh 2.1.0, in a Jupyter Notebook using conda (Python 3.7).

There were a few speedbumps when setting up students's environments:

1. It was unclear to some students that they needed to cd into the bokeh-notebooks/tutorial directory before running the conda env create etc. commands. They would open up a terminal, run conda env create and get an error that environment.yml was missing
2. Should source activate ... be activate ... for Windows users?
3. Some people had jupyter notebooks already running and were confused why they needed to start another one

We don't cover webgl - which is a pretty exciting addition - could add it into the plotting notebook