The following are some common issues and questions that have arisen when building your textbook with Jekyll.
How can I update my book?
Sometimes Jupyter Book will get updates that you want to incorporate into a book you’ve already built. The easiest way to do this is to use the Command-Line Interface to upgrade your book.
To upgrade a pre-existing Jupyter Book, run the following command:
jupyter-book upgrade path/to/mybook
This will do the following:
- Generate a fresh Jupyter Book in
mybook_UPGRADED
using the content files in your current book. - If this succeeds, copy over the contents of
mybook_UPGRADED
into your current book folder. - If this succeeds, delete the
mybook_UPGRADED
folder.
Note that only the content that you can manually specify via the jupyter-book create
command
will be retained in your upgraded book. For a list of these options, see the help menu for this command:
jupyter-book create -h
You should check out the content in your upgraded book to make sure it looks correct, then commit the changes to your repository.
Why isn’t my math showing up properly?
This site uses MathJax to render all math, with $
denoting inline math,
and $$
denoting multi-line math blocks. Make sure that all of your math
is wrapped in these characters.
Another tip is to make sure that your math isn’t being escaped improperly.
Jekyll strips escape characters, so you should make sure to add two
escape characters when needed. This is done automatically for many escape
characters in generate_book.py
, and if you notice something that should
be included in this script, please open an issue
at the textbook template issues page
How can I include interactive Plotly figures?
To display interactive Plotly figures, they must
first be generated in a Jupyter notebook using the offline mode.
You must then plot the figure with plotly.offline.plot()
, which generates an HTML file (plotly.offline.iplot()
does not),
and then load the HTML into the notebook with display(HTML('file.html'))
prior to saving your *.ipynb file.
e.g.
from IPython.core.display import display, HTML
from plotly.offline import init_notebook_mode, plot
init_notebook_mode(connected=True)
.
.
.
plot(fig, filename = 'figure.html')
display(HTML('figure.html')
Note that, if viewing the file on a Jupyter Notebook session, the figure will not be displayed there (iplot
is needed for this). However, if working on a JupyterLab session, the figure can be displayed there using the plot
code above by having the JupyterLab plotly extension installed.
What if I have an issue or question?
If you’ve got questions, concerns, or suggestions, please open an issue at at the jupyter book issues page