Work in Progress

15. Work in Progress#

Examples of markdown markup that hasn’t yet been mapped over to corresponding OU-XML tags…

15.1. Glossary Items#

We can define a glossary term as:

```{glossary}
Glossary term one
  Glossary term one definition is indented
```
Glossary term one#

Glossary term one definition is indented

We can then refer to a {term}`Glossary term one` TO DO that links to the glossary listing.

A Glossary term two#

Glossary term two definition is indented No blank line

Blank line

Glossary term three#

Glossary term three defintion

15.2. YouTube Video items (sphinx-contrib.youtube)#

We can embed video items as:

```{youtube} PmxZywVwhP8
```

15.3. Code Execution#

We should be able to execute code purely within the browser using thebe.

We should also be able to execute code as part of a Sphinx publishing process. Currently, rich media code outputs will be rendered in the HTML output, but only simple text_plain outputs are rendered into the Sphinx XML and then literally into OU-XML.

Hide code cell source 
import numpy as np
import pandas as pd

np.random.seed(24)
df = pd.DataFrame({'A': np.linspace(1, 10, 10)})
df = pd.concat([df, pd.DataFrame(np.random.randn(10, 4), columns=list('BCDE'))],
               axis=1)
df.iloc[3, 3] = np.nan
df.iloc[0, 2] = np.nan

def color_negative_red(val):
    """
    Takes a scalar and returns a string with
    the css property `'color: red'` for negative
    strings, black otherwise.
    """
    color = 'red' if val < 0 else 'black'
    return 'color: %s' % color

def highlight_max(s):
    '''
    highlight the maximum in a Series yellow.
    '''
    is_max = s == s.max()
    return ['background-color: yellow' if v else '' for v in is_max]

df.style.\
    applymap(color_negative_red).\
    apply(highlight_max).\
    set_table_attributes('style="font-size: 10px"')

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
Cell In[1], line 1
----> 1 import numpy as np
      2 import pandas as pd
      4 np.random.seed(24)

ModuleNotFoundError: No module named 'numpy'
Contents