Crate numpy

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This crate provides Rust interfaces for NumPy C APIs, especially for the ndarray class.

It uses [pyo3] for Rust bindings to CPython, and uses ndarray as the Rust matrix library.

To resolve its dependency on NumPy, it calls import numpy.core internally. This means that this crate should work if you can use NumPy in your Python environment, e.g. after installing it by pip install numpy. It does not matter whether you use the system environment or a dedicated virtual environment.

Loading NumPy is done automatically and on demand. So if it is not installed, the functions provided by this crate will panic instead of returning a result.

Integration with nalgebra is provided via an implementation of ToPyArray for nalgebra::Matrix to convert nalgebra matrices into NumPy arrays as well as the PyReadonlyArray::try_as_matrix and PyReadwriteArray::try_as_matrix_mut methods to treat NumPy array as nalgebra matrix slices.

§Example

use numpy::pyo3::Python;
use numpy::ndarray::array;
use numpy::{ToPyArray, PyArray, PyArrayMethods};

Python::with_gil(|py| {
    let py_array = array![[1i64, 2], [3, 4]].to_pyarray(py);

    assert_eq!(
        py_array.readonly().as_array(),
        array![[1i64, 2], [3, 4]]
    );
});
use numpy::pyo3::Python;
use numpy::nalgebra::Matrix3;
use numpy::{pyarray, ToPyArray, PyArrayMethods};

Python::with_gil(|py| {
    let py_array = pyarray![py, [0, 1, 2], [3, 4, 5], [6, 7, 8]];

    let py_array_square;

    {
        let py_array = py_array.readwrite();
        let mut na_matrix = py_array.as_matrix_mut();

        na_matrix.add_scalar_mut(1);

        py_array_square = na_matrix.pow(2).to_pyarray(py);
    }

    assert_eq!(
        py_array.readonly().as_matrix(),
        Matrix3::new(1, 2, 3, 4, 5, 6, 7, 8, 9)
    );

    assert_eq!(
        py_array_square.readonly().as_matrix(),
        Matrix3::new(30, 36, 42, 66, 81, 96, 102, 126, 150)
    );
});

Re-exports§

Modules§

Macros§

Structs§

Enums§

Traits§

Functions§

  • Create a one-dimensional index
  • Create a two-dimensional index
  • Create a three-dimensional index
  • Create a four-dimensional index
  • Create a five-dimensional index
  • Create a six-dimensional index
  • Create a dynamic-dimensional index
  • Return the dot product of two arrays.
  • dot_boundDeprecated
    Deprecated name for dot.
  • Returns the type descriptor (“dtype”) for a registered type.
  • dtype_boundDeprecated
    Deprecated name for dtype.
  • Return the Einstein summation convention of given tensors.
  • einsum_boundDeprecated
    Deprecated name for einsum.
  • Return the inner product of two arrays.
  • inner_boundDeprecated
    Deprecated name for inner.

Type Aliases§