Skip to main content

MATLAB style of creating numpy/sympy matrices, and a few MATLAB style functions

Project description

MATLAB style numpy and sympy

Create matrix, call function in MATLAB style

Installation

pip install pyMATLABstyle

Import

from MATLAB import *

MATLAB style numpy

Includes:

  1. mat

  2. inv

  3. rank

  4. det

  5. 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:

  1. smat

  2. sinv

  3. sdet

  4. 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]])

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pyMATLABstyle, version 1.2.1
Filename, size File type Python version Upload date Hashes
Filename, size pyMATLABstyle-1.2.1-py3-none-any.whl (3.3 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size pyMATLABstyle-1.2.1.tar.gz (2.7 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page