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jcb91 edited this page Sep 4, 2015 · 26 revisions

There is a graphical user interface for activating/deactivating installed notebook extensions by going to the '/nbextensions' URL:

This is realized using a notebook server extension, new to IPython 3.x. In order to work, this extension needs to be installed, and notebook extensions require a YAML description file in under the nbextensions directory (see installation notes, below) in order to be found.

#Setup procedure ##1. Installation

All required files for the configuration page are originally located in the 'config' subdirectory of the repository.

  • copy nbextensions.py to your ~/.ipython/extensions folder (for 3.x or 4.x)
  • copy nbextensions.html and rendermd.html to your ~/.ipython/templates folder (for 3.x or 4.x)
  • copy main.js and main.css to the nbextensions/config/ directory, which can be found:
    • for IPython 3.x, inside your ~/.ipython folder, so ~/.ipython/nbextensions/config/
    • for Jupyter notebook (4.x), inside the folder given by running
      from jupyter_core.paths import jupyter_data_dir;
      print(jupyter_data_dir())
      
    in an ipython terminal. This varies between platforms, e.g. on Mac OSX, it outputs the expanded version of ~/Library/Jupyter, meaning we should put them in ~/Library/Jupyter/nbextensions/config/.

##2. Configuration To enable the config extension, you'll need to edit your notebook config file. In 3.x, this is in your profile directory, e.g. ~/.ipython/profile_default/ipython_notebook_config.py whereas in Jupyter 4.x, it's ~/.jupyter/jupyter_notebook_config.py (since Jupyter doesn't have a concept of profiles).

Add the following lines:

from IPython.utils.path import get_ipython_dir
import os
import sys

ipythondir = get_ipython_dir()
extensions = os.path.join(ipythondir,'extensions') 
sys.path.append( extensions )

c = get_config()
c.NotebookApp.server_extensions = ['nbextensions']
c.NotebookApp.extra_template_paths = [os.path.join(ipythondir,'templates') ]

#YAML file format The YAML file can have any name with the extension YAML, and describes the notebook extension. Note that keys (in bold) are case-sensitive.

  • Type - identifier, must be 'IPython Notebook Extension'
  • Name - unique name of the extension
  • Description - short explanation of the extension
  • Link - a url for more documentation
  • Icon - small icon (rendered 120px high, should preferably end up 400px wide. Recall HDPI displays may benefit from a 2x resolution icon).
  • Main - main file that is loaded, typically 'main.js'
  • Compatibility - IPython version compatibility, e.g. '3.x' or '4.x' or '3.x 4.x'
  • Parameters - Optional dictionary of configuration parameters. The keys are the names used to store the configuration variable, so should be unique among all extensions. Each value is another dictionary, which may contain the following keys:
    • description - description of the configuration parameter
    • default - a default value used to populate the tag on the nbextensions config page. Note that this is more of a hint to the user than anything functional - since it's only set in the yaml file, the javascript implementing the extension in question might actually use a different default, depending on the implementation.
    • input_type - controls the type of html tag used to render the parameter on the configuration page. Valid values include 'text', 'textarea', 'checkbox', [html5 input tags such as 'number', 'url', 'color', ...], plus a final type of 'list'
    • list_element - for parameters with input_type 'list', this is used in place of 'input_type' to render each element of the list
    • finally, extras such as min step max may be used by 'number' tags for validation

Example:

Type: IPython Notebook Extension
Name: Limit Output
Description: This extension limits the number of characters that can be printed below a codecell
Link: https://github.com/ipython-contrib/IPython-notebook-extensions/wiki/limit-output
Icon: icon.png
Main: main.js
Compatibility: 3.x 4.x
Parameters:
  limit_output:
    description: Number of characters to limit output to
    input_type: number
    default: 10000
    step: 1
    min: 0

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