> Besides, isn't markdown supposed to be a superset of HTML? >
You can think of markdown as a *sub*set of HTML. You won't be able to use the specify the width, like in your example and if you have merged cells you won't be able to duplicate it using Markdown. There was some initial work on a library that would support Latex and HTML tables a couple years back (https://github.com/takluyver/tabipy) but it's a complicated process trying to support two separate encodings with all the different approaches. The automatic conversion of HTML tables to Latex is something I've wanted to be added to nbconvert for a long time but I've never found the time to write a converter. With regards to converting HTML tables to Markdown, if you're tables are simple enough to use Markdown then you can use a Python script to partially automate the conversion. In a new cell copy the HTML copy for one of your tables and assign it to the variable txt in the code below and you should be able to create a Markdown table equivalent. Admittedly this code only works with clean, simple HTML tables. Also, if you are not familiar with regular expressions and would like to try to improve the code you can check out http://regexr.com/. import re txt = """your table code more of your table code """ rows = re.compile(r'(?:<tr>)(.?)(?:</tr>)') headers = re.compile(r'(?:<th>)(.*?)(?:</th>)') cells = re.compile(r'(?:<td>)(.?)(?:</td>)') table_data = [] table_text = txt.replace('\n','') for row in rows.findall(table_text): row_content = headers.findall(row) if len(row_content)==0: row_content = cells.findall(row) table_data.append(row_content) markdown_text = '' for index, row in enumerate(table_data): markdown_text += '|'+'|'.join(row)+'|\n' if index == 0: markdown_text+='|'+'|'.join(['----']*len(row))+'|\n' print(markdown_text) -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/62e499b1-5631-4fa5-b7cd-ded9305c32f8%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
