numphp
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PHP tools for matrix computation
NumPhp
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NumPhp is a port of the famous NumPy (Python) package in PHP language.
Table of contents
- Requirements
- Installation
- Basic Usage
-
Documentation
- NdArray attributes
- NdArray methods
- NumPhp methods
- Contributing
Requirements
NumPhp supports PHP 7.2, 7.3 7.4 and 8.0.
Install
composer require sciphp/numphp
Basic usage
use SciPhp\NumPhp as np;
$m = np::ar(
[[ 1, 0, 0],
[ 0, 1, 0],
[ 0, 0, 1]]
)->dot(42);
echo "m.42 =\n$m";
will output:
m.42 =
[[ 42, 0, 0 ],
[ 0, 42, 0 ],
[ 0, 0, 42 ]]
Documentation
NdArray attributes
NdArray methods
- NdArray::copy
- NdArray::negative
- NdArray::ravel
- NdArray::reshape
- NdArray::resize
- NdArray::add
- NdArray::divide
- NdArray::dot
- NdArray::multiply
- NdArray::reciprocal
- NdArray::subtract
- NdArray::sum
- NdArray::trace
- NdArray::trapz
- NdArray::log
- NdArray::log10
- NdArray::log2
- NdArray::exp
- NdArray::expm1
- NdArray::exp2
- NdArray::power
- NdArray::sqrt
- NdArray::square
- NdArray::tril
- NdArray::triu
- NdArray::copysign
- NdArray::signbit
- NdArray::vander
- NdArray::is_square
NumPhp methods
- NumPhp::ar
- NumPhp::full
- NumPhp::nulls
- NumPhp::ones
- NumPhp::zeros
- NumPhp::full_like
- NumPhp::nulls_like
- NumPhp::zeros_like
- NumPhp::arange
- NumPhp::linspace
- NumPhp::logspace
- NumPhp::loadtxt
- NumPhp::diag
- NumPhp::diagflat
- NumPhp::diagonal
- NumPhp::eye
- NumPhp::negative
- NumPhp::identity
- NumPhp::trace
- NumPhp::tri
- NumPhp::tril
- NumPhp::triu
- NumPhp::vander
- NumPhp::add
- NumPhp::divide
- NumPhp::dot
- NumPhp::multiply
- NumPhp::power
- NumPhp::sqrt
- NumPhp::square
- NumPhp::reciprocal
- NumPhp::subtract
- NumPhp::transpose
- NumPhp::sum
- NumPhp::trapz
- NumPhp::log
- NumPhp::log10
- NumPhp::log2
- NumPhp::exp
- NumPhp::expm1
- NumPhp::exp2
- NumPhp::signbit
- NumPhp::copysign
- NumPhp::broadcast_to
- NumPhp::is_square
In the complete documentation, you will find all implemented stuff including some Linear Algebra methods like matrix norms and Cholesky transformation.
Contributing
Feel free to open issues and make PR. Contributions are welcome.
If you find a mistake or think an example is missing in the documentation, it's hosted on numphp-doc repository.