Convert a text file of data into a browser-viewable format with filtering, sorting, and full-text searching.

Uses DataTables, jQuery, and Bootstrap.

You are responsible for converting your data into a list-of-lists, though there's already a helper for DESeq results (entabled.DESeqResultsParser), as long as you've saved your data as described in the docstring of that class.

entabled ships with some data files you can experiment with, see the example below.

Get example data file:

>>> import entabled
>>> deseq_results = entabled.helpers.data_file('example_results.txt')

Get the data as a list-of-lists, as well as the header:

>>> d = entabled.DESeqResultsParser(deseq_results)
>>> data, header = d.parse()

Write some text (as ReST), which will be converted to HTML and inserted into the template. Or use the example:

>>> rst = open(entabled.helpers.data_file('usage.rst')).read()

Set up a DataTableCreator object. minmax is a list of columns that will have accordion-foldable min/max text input for filtering. above_text_rst and below_text_rst will be converted to HTML and inserted above and below the table respectively:

>>> t = entabled.DataTableCreator(
... data,
... header,
... minmax=['baseMeanA', 'baseMeanB', 'log2FoldChange', 'padj'],
... above_text_rst=rst,
... below_text_rst='Some example text')

Render it to the directory example, and supply some additional CSS styling:

>>> additional_css = entabled.helpers.data_file('add.css')
>>> t.render(outdir="example", html='deseq.html', additional_css=additional_css)

Open up example/deseq.html in a browser.