(inspired by this discussion)

Instead of {{ read_csv('table.csv') }} we could take inspiration from https://github.com/coddingtonbear/obsidian-csv-table and create a custom superfences notation like so:

```table-reader
filepath: table.csv
```

We could add the following extra options:

• reader (str) one of the pandas functions, like read_csv
• keyword_arguments, a dictionary, with named arguments, for example encoding: 'utf-8'
• filter (list of strings), where each is successively passed to .query()
• sortBy (list of strings), passed to pandas's .sort_values()
• maxRows (int), passed to pandas's .head()
• columnVariables (list of strings), passed to pandas's .rename()`

You can already do all this by just using a mkdocs hook to preprocess tables.

So if you read this & have a use-case for this, let me know!