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Convert latex to sympy with ANTLR and support Matrix, Linear Algebra and CAS functions.
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.
NOTICE: It will do some irreversible calculations when converting determinants, transposed matrixes and elementary transformations...
pip install latex2sympy2
Requirements: sympy
and antlr4-python3-runtime
packages.
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"
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.
# Before
x + y = 1
# After
[ y = 1 - x, \ x = 1 - y]
# Before
(x+2)|_{x=y+1}
# After
y + 3
tex = r"\bm{I}_3"
latex2sympy(tex)
# => "Matrix([[1, 0, 0], [0, 1, 0], [0, 0, 1]])"
from latex2sympy2 import latex2sympy
tex = r"\begin{vmatrix} x & 0 & 0 \\ 0 & x & 0 \\ 0 & 0 & x \end{vmatrix}"
latex2sympy(tex)
# => "x^{3}"
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]])"
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]])"
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"
from latex2sympy2 import set_real
set_real(False)
If you want to add a new grammar, you can fork the code from OrangeX4/latex2sympy.
PS.g4
.latex2sympy.py
.Contributors are welcome! Feel free to open a pull request or an issue.
FAQs
Convert latex to sympy with ANTLR and support Matrix, Linear Algebra and CAS functions.
We found that latex2sympy2 demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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