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Description:

pyMATLABstyle 1.2.1

MATLAB style numpy and sympy
Create matrix, call function in MATLAB style
Installation
pip install pyMATLABstyle
Import
from MATLAB import *

MATLAB style numpy
Includes:

mat

inv

rank

det

exp

matN = mat('1 2 3;4 7,2;6,7,8')

print('matN:', matN, sep='\n')

matN:

[[1 2 3]

[4 7 2]

[6 7 8]]

print('rank:', rank(matN))

print('inv:', inv(matN) * (matN), sep='\n')

print('det:', det(matN))

print('exp:', exp(matN, 2) - matN * matN, sep='\n')

rank: 3

inv:

[[ 1.00000000e+00 2.77555756e-16 4.44089210e-16]

[ 3.33066907e-16 1.00000000e+00 0.00000000e+00]

[-3.46944695e-17 -5.89805982e-17 1.00000000e+00]]

det: -40.000000000000014

exp:

[[0 0 0]

[0 0 0]

[0 0 0]]

MATLAB style syms
syms == sympy.symbols
x, y, z = syms('x, y z')

f = x**(y - z)

print(f)

x**(y - z)

MATLAB style sympy matrix
Includes:

smat

sinv

sdet

sexp

matS = smat('x11 x12 x13;x21,x22,x23;x31,x32 x33')

print('matS:', matS, sep='\n')

matS:

Matrix([[x11, x12, x13], [x21, x22, x23], [x31, x32, x33]])

print('rank:', matS.rank())

print('inv:', sinv(matS) * (matS), sep='\n')

print('det:', sdet(matS))

print('exp:', sexp(matS, 2) - matS * matS, sep='\n')

rank: 3

inv:

Matrix([[1, 0, 0], [0, 1, 0], [0, 0, 1]])

det: x11*x22*x33 - x11*x23*x32 - x12*x21*x33 + x12*x23*x31 + x13*x21*x32 - x13*x22*x31

exp:

Matrix([[0, 0, 0], [0, 0, 0], [0, 0, 0]])