Parses valid LaTeX and provides a variety of BeautifulSoup-esque methods and Pythonic idioms for iterating and searching the parse tree. Unlike BeautifulSoup however, TexSoup is modeled after an interpreter, providing a set of Pythonic structures for processing environments, commands, and arguments.
Note
TexSoupcurrently only supports Python3.
created by Alvin Wan
Just install via pip.
pip install texsoup
There is one main utility, TexSoup, which translates any LaTeX string or
iterator into a soupified object.
You have two options. Either give (1) a file buffer (open('file.tex')) or (2) a string.
from TexSoup import TexSoup
soup = TexSoup("""
\begin{document}
\section{Hello \textit{world}.}
\subsection{Watermelon}
(n.) A sacred fruit. Also known as:
\begin{itemize}
\item red lemon
\item life
\end{itemize}
Here is the prevalence of each synonym.
\begin{tabular}{c c}
red lemon & uncommon \\
life & common
\end{tabular}
\end{document}
""")
With the soupified LaTeX, you can now search and traverse the document tree. The below is a demonstration of basic functions that TexSoup provides.
>>> soup.section # grabs the first `section`
\section{Hello \textit{world}.}
>>> soup.section.name
'section'
>>> soup.section.string
'Hello \\textit{world}.'
>>> soup.section.parent.name
'document'
>>> soup.tabular
\begin{tabular}{c c}
red lemon & uncommon \\
life & common
\end{tabular}
>>> soup.tabular.args[0]
'c c'
>>> soup.item
\item red lemon
>>> list(soup.find_all('item'))
[\item red lemon, \item life]
For (slightly) more advanced searches, include arguments. For example, to
search for all references to a particular label, search for ref{<label>}. This
way you can count the number of times a particular label is referenced.
>>> soup = TexSoup("""
... \section{Heading}\label{Section:Heading}
...
... Some text about the \ref{Section:Heading} heading goes here. Yet another
... sentence about the \ref{Section:Heading} heading.
... """)
>>> soup.count('\ref{Section:Heading}')
2
Additionally, modify the TeX parse tree in place, to generate new LaTeX.
>>> soup = TexSoup("""\textbf{'Hello'}\textit{'Y'}O\textit{'U'}""")
>>> soup.textbf.delete()
>>> 'Hello' not in repr(soup)
True
>>> soup.textit.replace('S')
>>> soup.textit.replace('U', 'P')
>>> soup
SOUP
There is one main utility, read, which translates any LaTeX string or iterator
into a Python abstraction.
>>> from TexSoup import read
>>> expr = read('\section{textbf}')
>>> expr
TexCmd('section', [RArg('textbf')])
>>> print(expr)
\section{textbf}
TexSoup has a variety of practical applications, whether it be minor conveniences or more powerful LaTeX extensions. The below exhibits a few of these use cases, from simple reference counts to integration with computer algebra systems (coming soon).
See the examples/ folder for example scripts and usages for TexSoup.
See slightly more complex uses for TexSoup.
- LaTex2Python converts LaTeX into a document tree, organizing content by either a default or custom hierarchy.
- Tex2Ipy by Prabhu Ramachandran, converts LaTeX beamer files to Jupyter notebooks