Content with notebooks
You can also create content with Jupyter Notebooks. The content for the current page is containedin a Jupyter Notebook in the notebooks/
folder of the repository. This means that we can includecode blocks and their outputs, and export them to Jekyll markdown.
You can find the original notebook for this page at this address
Markdown + notebooks
As it is markdown, you can embed images, HTML, etc into your posts!
You an also $add{math}$ and or {tex} \ \math blocks\end{align*} But make sure you \$Escape \$your \$dollar signs \$you want to keep!
Code blocks and image outputs
Jupyter Book will also embed your code blocks and output in your book.For example, here's some sample Matplotlib code:
- from matplotlib import rcParams, cycler
- import matplotlib.pyplot as plt
- import numpy as np
- plt.ion()
- # Fixing random state for reproducibility
- np.random.seed(19680801)
- N = 10
- data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]
- data = np.array(data).T
- cmap = plt.cm.coolwarm
- rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))
- from matplotlib.lines import Line2D
- custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),
- Line2D([0], [0], color=cmap(.5), lw=4),
- Line2D([0], [0], color=cmap(1.), lw=4)]
- fig, ax = plt.subplots(figsize=(10, 5))
- lines = ax.plot(data)
- ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']);
Note that the image above is captured and displayed by Jekyll.
You can also pop out content to the side!. For more information on how to do this,check out the customizing page layout page.
Removing content before publishing
You can also remove some content before publishing your book to the web. For example,in the original notebook thereused to be a cell below…
You can also remove only the code so that images and other output still show up.
Below we'll only display an image. It was generated with Python code in a cell,which you can see in the original notebook
- thisvariable = "this plot *will* show up in the textbook."
- fig, ax = plt.subplots()
- x = np.random.randn(100)
- y = np.random.randn(100)
- ax.scatter(x, y, s=np.abs(x*100), c=x, cmap=plt.cm.coolwarm)
- ax.text(0, .5, thisvariable, fontsize=20, transform=ax.transAxes)
- ax.set_axis_off()
And here we'll only display a Pandas DataFrame. Again, this was generated with Python codefrom this original notebook.
- import pandas as pd
- pd.DataFrame([['hi', 'there'], ['this', 'is'], ['a', 'DataFrame']], columns=['Word A', 'Word B'])
Word A | Word B | |
---|---|---|
0 | hi | there |
1 | this | is |
2 | a | DataFrame |
You can configure the text that Textbooks with Jupyter uses for this by modifying your book's _config.yml
file.
Interactive outputs
We can even do the same for interactive material. Below we'll display a map using ipyleaflet
. When the notebookis converted to Markdown, the code for creating the interactive map is retained.
Note that this will only work for some packages. They need to be able to output standalone HTML/Javascript, and notdepend on an underlying Python kernel to work.
- import folium
- m = folium.Map(
- location=[45.372, -121.6972],
- zoom_start=12,
- tiles='Stamen Terrain'
- )
- folium.Marker(
- location=[45.3288, -121.6625],
- popup='Mt. Hood Meadows',
- icon=folium.Icon(icon='cloud')
- ).add_to(m)
- folium.Marker(
- location=[45.3311, -121.7113],
- popup='Timberline Lodge',
- icon=folium.Icon(color='green')
- ).add_to(m)
- folium.Marker(
- location=[45.3300, -121.6823],
- popup='Some Other Location',
- icon=folium.Icon(color='red', icon='info-sign')
- ).add_to(m)
- m
Rich outputs from notebook cells
Because notebooks have rich text outputs, you can store these inyour Jupyter Book as well!
- !jupyter-book create -h
- usage: jupyter-book [-h] [--out-folder OUT_FOLDER] [--license LICENSE]
- [--content-folder CONTENT_FOLDER] [--toc TOC]
- [--config CONFIG] [--custom-css CUSTOM_CSS]
- [--custom-js CUSTOM_JS]
- [--extra-files EXTRA_FILES [EXTRA_FILES ...]]
- [--overwrite] [--demo] [--verbose VERBOSE]
- name
- Create a new Jupyter Book
- positional arguments:
- name The name of your Jupyter Book (your book template will
- be placed in a folder of this name)
- optional arguments:
- -h, --help show this help message and exit
- --out-folder OUT_FOLDER
- The location where your book will be placed
- --license LICENSE A path to a LICENSE.md file if you have already
- created one
- --content-folder CONTENT_FOLDER
- A path to a folder that holds your book content
- --toc TOC A path to a yaml file that contains a Table of
- Contents for your Jupyter Book. This will overwrite
- parts of the book template's default toc.yml
- configuration
- --config CONFIG A path to a configuration YAML file that contains
- configuration for your Jupyter Book. This will
- overwrite parts of the book template's default
- _config.yml configuration
- --custom-css CUSTOM_CSS
- A path to a CSS file that defines some custom CSS
- rules for your book
- --custom-js CUSTOM_JS
- A path to a JS file that defines some custom CSS rules
- for your book
- --extra-files EXTRA_FILES [EXTRA_FILES ...]
- A list of extra files / folders to copy into your
- book's directory
- --overwrite Whether to overwrite a pre-existing book if it exists
- --demo Whether to build the book with demo content instead of
- your own content
- --verbose VERBOSE Whether to display output information. [yes/no]
- this_will_error
- ---------------------------------------------------------------------------
- NameError Traceback (most recent call last)
- <ipython-input-1-09f61459889d> in <module>()
- ----> 1 this_will_error
- NameError: name 'this_will_error' is not defined
This page was created by The Jupyter Book Community