Struct hdf5::Reader[][src]

pub struct Reader<'a> { /* fields omitted */ }

Implementations

Creates a reader for a dataset/attribute.

Any conversions (including hard/soft) are allowed by default.

Set maximum allowed conversion level.

Disallow all conversions.

Reads a slice of an n-dimensional array. If the dimensionality D has a fixed number of dimensions, it must match the dimensionality of the slice, after singleton dimensions are dropped. Use the multi-dimensional slice macro s![] from ndarray to conveniently create a multidimensional slice.

Reads a dataset/attribute into an n-dimensional array.

If the array has a fixed number of dimensions, it must match the dimensionality of the dataset/attribute.

Reads a dataset/attribute into a vector in memory order.

Reads a dataset/attribute into a 1-dimensional array.

The dataset/attribute must be 1-dimensional.

Reads the given slice of the dataset into a 1-dimensional array. The slice must yield a 1-dimensional result.

Reads a dataset/attribute into a 2-dimensional array.

The dataset/attribute must be 2-dimensional.

Reads the given slice of the dataset into a 2-dimensional array. The slice must yield a 2-dimensional result.

Reads a dataset/attribute into an array with dynamic number of dimensions.

Reads a scalar dataset/attribute.

Trait Implementations

Formats the value using the given formatter. Read more

Auto Trait Implementations

Blanket Implementations

Gets the TypeId of self. Read more

Immutably borrows from an owned value. Read more

Mutably borrows from an owned value. Read more

Performs the conversion.

Performs the conversion.

The type returned in the event of a conversion error.

Performs the conversion.

The type returned in the event of a conversion error.

Performs the conversion.