Rust bindings for the NumPy C-API
pip install numpy
)
numpy >= 1.16.0
, though older version may work.Note Starting from 0.3, rust-numpy migrated from rust-cpython to pyo3. If you want to use rust-cpython, use version 0.2.1 from crates.io.
Currently 3.5, 3.6, 3.7, and 3.8 are supported.
Version 0.5.0 is the last version that supports Python2.
If you want to compile this library with Python2, please use 0.5.0 from crates.io.
In addition, you have to add a feature flag in Cargo.toml
like
toml
[dependencies.numpy]
version = "0.5.0"
features = ["python2"]
.
You can also automatically specify python version in setup.py, using setuptools-rust.
``` toml [package] name = "numpy-test"
[dependencies] pyo3 = "0.11.1" numpy = "0.10.0" ```
```rust use numpy::{PyArray1, getarraymodule}; use pyo3::prelude::{PyResult, Python}; use pyo3::types::PyDict;
fn main() -> Result<(), ()> { let gil = Python::acquiregil(); main(gil.python()).maperr(|e| { eprintln!("error! :{:?}", e); // we can't display python error type via ::std::fmt::Display // so print error here manually e.printandsetsyslastvars(gil.python()); }) }
fn main<'py>(py: Python<'py>) -> PyResult<()> {
let np = py.import("numpy")?;
let dict = PyDict::new(py);
dict.setitem("np", np)?;
let pyarray: &PyArray1
Please see the examples directory for a complete example
```toml [lib] name = "rust_ext" crate-type = ["cdylib"]
[dependencies] numpy = "0.10.0" ndarray = "0.13"
[dependencies.pyo3] version = "0.10.0" features = ["extension-module"] ```
```rust use ndarray::{ArrayD, ArrayViewD, ArrayViewMutD}; use numpy::{IntoPyArray, PyArrayDyn, PyReadonlyArrayDyn}; use pyo3::prelude::{pymodule, PyModule, PyResult, Python};
fn rustext(py: Python<'>, m: &PyModule) -> PyResult<()> {
// immutable example
fn axpy(a: f64, x: ArrayViewD<', f64>, y: ArrayViewD<'_, f64>) -> ArrayD
// mutable example (no return)
fn mult(a: f64, mut x: ArrayViewMutD<'_, f64>) {
x *= a;
}
// wrapper of `axpy`
#[pyfn(m, "axpy")]
fn axpy_py<'py>(
py: Python<'py>,
a: f64,
x: PyReadonlyArrayDyn<f64>,
y: PyReadonlyArrayDyn<f64>,
) -> &'py PyArrayDyn<f64> {
let x = x.as_array();
let y = y.as_array();
axpy(a, x, y).into_pyarray(py)
}
// wrapper of `mult`
#[pyfn(m, "mult")]
fn mult_py(_py: Python<'_>, a: f64, x: &PyArrayDyn<f64>) -> PyResult<()> {
let x = unsafe { x.as_array_mut() };
mult(a, x);
Ok(())
}
Ok(())
} ```
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