Reputation: 1063
Pandas has two nice functionalities I use a lot - that's the df.style...
option and the df.to_latex()
call. But I do not know how to combine both.
The .style option makes looking at tables much more pleasant. It lets you grasp information rapidly because of visual enhancements. This works perfectly in a jupyter notebook, for example. Here is an arbitrary example I copied from the documentation.
df.style.bar(subset=['A', 'B'], align='mid', color=['#d65f5f', '#5fba7d'])
This yields:
However, as nice as this looks in a jupyter notebook, I can not put this to latex code. I get the following error message instead, if chaining a 'to_latex()' call at the end of my visual enhancements: AttributeError: 'Styler' object has no attribute
. Does that mean it's simply not possible, because the displayed colorful table is not a DataFrame object any more, but now a Styler object, now?
Is there any workaround? At least with easier tables, let's say where only cells have a single background color with respect to their value, instead of a 'complicated' bar graph.
Upvotes: 19
Views: 7928
Reputation: 24261
As of pandas v1.3.0 these are now combined in pandas.io.formats.style.Styler.to_latex
.
Upvotes: 2
Reputation: 763
I don't know how you can use latex directly but you can use df.to_html(). Once you get the html you can style it as you like and then use any of the following.
Here is one latex package that I found on googling that talks about embedding html in latex. https://alvinalexander.com/blog/post/latex/use-html-package-in-latex-control-your-output/
I once only used latex and embedded images of tables when I used it.
Upvotes: 1
Reputation: 8900
Instead of trying to export this formatting to bulky LaTeX markup, I would go the route explored already over in TeX.SE: add the functionality as LaTeX code that draws similar formatting based on the same data.
pgfplotstable
):Upvotes: 1