[−][src]Trait numpy::convert::NpyIndex

pub trait NpyIndex: IntoDimension {
    pub fn get_checked<T>(
        self, 
        dims: &[usize], 
        strides: &[isize]
    ) -> Option<isize>;

    pub fn get_unchecked<T>(self, strides: &[isize]) -> isize;

    pub fn __private__(self) -> PrivateMarker;
}

Types that can be used to index an array.

See IntoDimension for what types you can use as NpyIndex.

But basically, you can use

Required methods

pub fn get_checked<T>(self, dims: &[usize], strides: &[isize]) -> Option<isize>[src]

pub fn get_unchecked<T>(self, strides: &[isize]) -> isize[src]

pub fn __private__(self) -> PrivateMarker[src]

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Implementors

impl<D: IntoDimension> NpyIndex for D[src]

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