Skip to main content

Logo

latex2sympy2

About

latex2sympy2 parses LaTeX math expressions and converts it into the equivalent SymPy form. The latex2sympy2 is adapted from augustt198/latex2sympy and purdue-tlt / latex2sympy.

This project is a part of a VS Code extension called Latex Sympy Calculator. It is designed for providing people writing in latex or markdown a ability to calculate something when writing math expression.

ANTLR is used to generate the parser.

Features

  • Arithmetic: Add (+), Sub (-), Dot Mul (·), Cross Mul (×), Frac (/), Power (^), Abs (|x|), Sqrt (√), etc...
  • Alphabet: a - z, A - Z, α - ω, Subscript (x_1), Accent Bar(ā), etc...
  • Common Functions: gcd, lcm, floor, ceil, max, min, log, ln, exp, sin, cos, tan, csc, sec, cot, arcsin, sinh, arsinh, etc...
  • Funcion Symbol: f(x), f(x-1,), g(x,y), etc...
  • Calculous: Limit ($lim_{n\to\infty}$), Derivation ($\frac{d}{dx}(x^2+x)$), Integration ($\int xdx$), etc...
  • Linear Algebra: Matrix, Determinant, Transpose, Inverse, Elementary Transformation, etc...
  • Other: Binomial...

NOTICE: It will do some irreversible calculations when converting determinants, transposed matrixes and elementary transformations...

Installation

pip install latex2sympy2

Requirements: sympy and antlr4-python3-runtime packages.

Usage

Basic

In Python:

from latex2sympy2 import latex2sympy, latex2latex

tex = r"\frac{d}{dx}(x^{2}+x)"
# Or you can use '\mathrm{d}' to replace 'd'
latex2sympy(tex)
# => "Derivative(x**2 + x, x)"
latex2latex(tex)
# => "2 x + 1"

Examples

LaTeX Converted SymPy Calculated Latex
x^{3} $x^{3}$ x**3 x^{3} $x^{3}$
\frac{d}{dx} tx $\frac{d}{dx}tx$ Derivative(x*t, x) t $t$
\sum_{i = 1}^{n} i $\sum_{i = 1}^{n} i$ Sum(i, (i, 1, n)) \frac{n \left(n + 1\right)}{2} $\frac{n \left(n + 1\right)}{2}$
\int_{a}^{b} \frac{dt}{t} Integral(1/t, (t, a, b)) -\log{(a)} + \log{(b)} $-\log{(a)} + \log{(b)}$
`(2x^3 - x + z) {x=3}` $(2x^3 - x + z)|{x=3}$ z + 51

If you want to read the math formula, you can click GitNotes.

Solve Equation

# Before
x + y = 1

# After
[ y = 1 - x, \  x = 1 - y]

Eval At

# Before
(x+2)|_{x=y+1}

# After
y + 3

Matrix

Identity matrix

tex = r"\bm{I}_3"
latex2sympy(tex)
# => "Matrix([[1, 0, 0], [0, 1, 0], [0, 0, 1]])"

Determinant

from latex2sympy2 import latex2sympy

tex = r"\begin{vmatrix} x & 0 & 0 \\ 0 & x & 0 \\ 0 & 0 & x \end{vmatrix}"
latex2sympy(tex)
# => "x^{3}"

Transpose

from latex2sympy2 import latex2sympy

tex = r"\begin{pmatrix} 1 & 2 & 3 \\ 4 & 5 & 6 \\ 7 & 8 & 9 \end{pmatrix}^T"
# Or you can use "\begin{pmatrix}1&2&3\\4&5&6\\7&8&9\end{pmatrix}'"
latex2sympy(tex)
# => "Matrix([[1, 4, 7], [2, 5, 8], [3, 6, 9]])"

Elementary Transformation

from latex2sympy2 import latex2sympy

matrix = r'''
    \begin{pmatrix}
        1 & 2 & 3 \\ 
        4 & 5 & 6 \\
        7 & 8 & 9 \\ 
    \end{pmatrix}
'''

# Scale the row with grammar "\xrightarrow{kr_n}"
tex = matrix + r'\xrightarrow{3r_1}'
latex2sympy(tex)
# => "Matrix([[3, 6, 9], [4, 5, 6], [7, 8, 9]])"

# Swap the cols with grammar "\xrightarrow{c_1<=>c_2}"
# Of course, you can use "\leftrightarrow" to replace "<=>" 
tex = matrix + r'\xrightarrow{c_1<=>c_2}'
latex2sympy(tex)
# => "Matrix([[2, 1, 3], [5, 4, 6], [8, 7, 9]])"

# Scale the second row and add it to the first row
# with grammar "\xrightarrow{r_1+kr_2}"
tex = matrix + r'\xrightarrow{r_1+kr_2}'
latex2sympy(tex)
# => "Matrix([[4*k + 1, 5*k + 2, 6*k + 3], [4, 5, 6], [7, 8, 9]])"

# You can compose the transform with comma ","
# and grammar "\xrightarrow[4r_3]{2r_1, 3r_2}"
# Remember the priority of "{}" is higher than "[]"
tex = matrix + r'\xrightarrow[4r_3]{2r_1, 3r_2}'
latex2sympy(tex)
# => "Matrix([[2, 4, 6], [12, 15, 18], [28, 32, 36]])"

Variances

from latex2sympy2 import latex2sympy, variances, var, set_variances

# Assign x a value of 1
latex2sympy(r"x = 1")

# Assign x a matrix symbol with dimension of n x m
latex2sympy(r"x \in \mathbb{R}^{n \times m}")

# Calculate x + y
latex2sympy(r"x + y")
# => "y + 1"

# Get all variances
print(variances)
# => "{x: 1}"

# Get variance of "x"
print(var["x"])
# => "1"

# Reset all variances
set_variances({})
latex2sympy(r"x + y")
# => "x + y"

Complex Number Support

from latex2sympy2 import set_real

set_real(False)

Contributing

If you want to add a new grammar, you can fork the code from OrangeX4/latex2sympy.

  • To modify parser grammar, view the existing structure in PS.g4.
  • To modify the action associated with each grammar, look into latex2sympy.py.

Contributors are welcome! Feel free to open a pull request or an issue.

Metadata

Release files for latex2sympy2-llmmath 1.9.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for latex2sympy2-llmmath 1.9.1
File Size Uploaded Provenance
latex2sympy2_llmmath-1.9.1.tar.gz 81.7 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for latex2sympy2-llmmath 1.9.1
File Interpreter ABI Platform
latex2sympy2_llmmath-1.9.1-py3-none-any.whl Python 3 none any Details

Total release size: 168.8 kB

Release files / latex2sympy2_llmmath-1.9.1.tar.gz

Download URL latex2sympy2_llmmath-1.9.1.tar.gz
Size 81.7 kB
Tags Source
SHA-256 checksum
How to use checksums
fa101fa5c924c759a24a2f0534ba8e9cae0e02acf441f75d3ca1edc19e27431c
BLAKE2b-256 checksum
How to use checksums
daacffb3307fec17f28fa69b37259ecbbf649485ff710682f4d891ebe7724134
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.9.19

Release files / latex2sympy2_llmmath-1.9.1-py3-none-any.whl

Download URL latex2sympy2_llmmath-1.9.1-py3-none-any.whl
Size 87.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
20625d9929e19363284adb33194e15048536be2ad065dc91cd3e92ae76921ec1
BLAKE2b-256 checksum
How to use checksums
def48539e127beec64b358fd5fbce0de61df584ea6ca5868f0fb8cac19b379b9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.9.19

Security for latex2sympy2-llmmath 1.9.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

1.9.1 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page