Skip to main content

Help you calculate matrix.

Project description

Xmatrix

xmatrixy Logo

CodeFactor

  • A python package to calculate Matrix math problems.
  • python version: 3.6 and above.

Usage

install

pip install xmatrix

Add import in your file

import xmatrix as Mx
from xmatrix import * # This would be better.

create a matrix

  • Matrix("row ; row ...")
my_matrix = Mx.Matrix("1,2;3,4")

#result:
[1, 2]
[3, 4]

we also support bigger matrix

my_matrix = Mx.Matrix("1,2,3;4,5,6;7,8,9")

#result:
[1, 2, 3]
[4, 5, 6]
[7, 8, 9]

simple calculate

my_matrix = Mx.Matrix("1,2;3,4")
my_matrix2 = Mx.Matrix("4,6;2,9")

print(my_matrix + my_matrix2)
#result:
[5, 8]
[5, 13]

print(my_matrix - my_matrix2)
#result:
[-3, -4]
[1, -5]

print(my_matrix * my_matrix2)
#result:
[8, 24]
[20, 54]

print(my_matrix * 87)
#result:
[87, 174]
[261, 348]

print(my_matrix ** 7)
#result:
[30853, 44966]
[67449, 98302]

print(my_matrix == my_matrix2)
#result:
False

Transpose Matrix

my_matrix = Mx.Matrix("1,2,3;4,5,6;7,8,9")

print(my_matrix)
#result:
[1, 2, 3]
[4, 5, 6]
[7, 8, 9]

print(my_matrix.transpose)
#result:
[1, 4, 7]
[2, 5, 8]
[3, 6, 9]

my_matrix2 = Matrix("1,2,3,4;5,6,7,8;9,10,11,12;13.1,14.2,15.3,16.4")

print(my_matrix2)
#result:
[1, 2, 3, 4]
[5, 6, 7, 8]
[9, 10, 11, 12]
[13.1, 14.2, 15.3, 16.4]

print(my_matrix2.transpose)
#result:
[1, 5, 9, 13.1]
[2, 6, 10, 14.2]
[3, 7, 11, 15.3]
[4, 8, 12, 16.4]

Inverse

my_matrix = Mx.Matrix("1,2;3,4")

print(my_matrix)
#result:
[1, 2]
[3, 4]

print(my_matrix.inverse)
#result:
[-2, 1]
[1.5, -0.5]

#special use by '**' power operator:
print(my_matrix ** -1)
#result:
[-2, 1]
[1.5, -0.5]

my_matrix2 = Mx.Matrix("1,2,3;4,5,6;7,8,9")

print(my_matrix2)
#result:
[1, 2, 3]
[4, 5, 6]
[7, 8, 9]

print(my_matrix2.inverse)
#result:
#The determinant is zero, can't be inverse.
#None

my_matrix3 = Mx.Matrix("1,1,1;1,2,3;1,4,5")

print(my_matrix3)
#result:
[1, 1, 1]
[1, 2, 3]
[1, 4, 5]

print(my_matrix3.inverse)
#result:
[1, 0.5, -0.5]
[1, -2, 1]
[-1, 1.5, -0.5]

my_matrix4 = Mx.Matrix("1,1,2,1;1,1,0,0;1,1,0,1;1,0,1,0")

print(my_matrix4)
#result:
[1, 1, 2, 1]
[1, 1, 0, 0]
[1, 1, 0, 1]
[1, 0, 1, 0]

print(my_matrix4.inverse)
#result:
[-0.5, 0, 0.5, 1]
[0.5, 1, -0.5, -1]
[0.5, 0, -0.5, 0]
[0, -1, 1, 0]

#and more...

get the matrix by list

my_matrix = Mx.Matrix("1,2,3;4,5,6;7,8,9")

print(my_matrix.raw)
#result:
[[1, 2, 3], [4, 5, 6], [7, 8, 9]]

get identity Matrix

i = Mx.UnitMatrix(3)

#result:
print(i)
[1, 0, 0]
[0, 1, 0]
[0, 0, 1]

Project details


Download files

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

Source Distribution

xmatrix-1.1.3.tar.gz (6.0 kB view details)

Uploaded Source

Built Distribution

xmatrix-1.1.3-py3-none-any.whl (6.0 kB view details)

Uploaded Python 3

File details

Details for the file xmatrix-1.1.3.tar.gz.

File metadata

  • Download URL: xmatrix-1.1.3.tar.gz
  • Upload date:
  • Size: 6.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for xmatrix-1.1.3.tar.gz
Algorithm Hash digest
SHA256 82820b57a90657b70c962f6d7f5597380a185167b1e0d7799605d4e16256a191
MD5 eb2f3ffd9c853ea015665dee737d62f4
BLAKE2b-256 7bfb08b5f33d49735799f343a6aee5a5acd97f063a8ccc5f584f978d083933cd

See more details on using hashes here.

File details

Details for the file xmatrix-1.1.3-py3-none-any.whl.

File metadata

  • Download URL: xmatrix-1.1.3-py3-none-any.whl
  • Upload date:
  • Size: 6.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for xmatrix-1.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 7402238c9f0db272c686ed24fa38beda0bf0b9fcaccfd4fb1af517e4e8c0ab4b
MD5 ba1ddd7b303d9735270cbad81eebd1b4
BLAKE2b-256 b56522b28eaad1f4af1f552a0cc591c5c591ef83d249ea041272285fe7b451e1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page