pyMATLABstyle 1.2.1
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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]])
License:
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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