#npy #ndarray #numpy #array #npz

ndarray-npy

.npy and .npz file format support for ndarray

11 releases (7 breaking)

0.8.0 Apr 7, 2021
0.7.1 Jan 19, 2021
0.7.0 Dec 3, 2020
0.6.0 Sep 1, 2020
0.2.0 Jun 23, 2018

#17 in Parser implementations

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Used in 15 crates (11 directly)

MIT/Apache

87KB
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ndarray-npy

Continuous integration Coverage Dependencies status ndarray-npy at crates.io Documentation Matrix chat at #rust-sci:matrix.org IRC at #rust-sci on OFTC

This crate provides support for reading/writing ndarray's ArrayBase type from/to .npy and .npz files. See the documentation for more information.

This crate is a work-in-progress. It currently supports only a subset of .npy header descriptors and supports only primitive fixed-size integer, floating point, and bool types as the array element type. You can implement the *Element traits for your own types, but the next breaking release of this library will probably change those traits.

Future plans include support for:

  • Memory-mapped .npz files. (Memory-mapped .npy files are already supported.)
  • More element types (e.g. structs). If you need support for structs before this is implemented in ndarray-npy, check out the npy crate.
  • Possibly merging this with the npy crate.

Using with Cargo

To use with the default features:

[dependencies]
ndarray-npy = "0.8"

The default feature set includes the compressed_npz feature, which enables support for uncompresssed and compressed .npz files. This requires a dependency on the zip crate and a compression backend crate.

To use without the default features:

[dependencies]
ndarray-npy = { version = "0.8", default-features = false }

With default-features = false, ndarray-npy provides support only for .npy files, not .npz files. If you want .npz file support, you can select additional features:

  • npz enables support for uncompressed .npz files. This requires a dependency on the zip crate.
  • compressed_npz enables support for uncompressed and compressed .npz files. This requires a dependency on the zip crate and a compression backend crate.

For example, you can use just the npz feature:

[dependencies.ndarray-npy]
version = "0.8"
default-features = false
features = ["npz"]

Library authors

Library authors should specify their dependency on ndarray-npy like this:

[dependencies.ndarray-npy]
version = "0.8"
default-features = false
features = [FEATURES_LIST_HERE]

where the features list is one of the following:

  • [] if your crate does not depend on .npz file support
  • ["npz"] if your crate depends on .npz file support but not compression
  • ["compressed_npz"] if your crate depends on .npz file support with compression

Releases

  • 0.8.0

    • Updated to ndarray 0.15.
    • Updated to py_literal 0.4.
    • Updated to Rust 1.49.
  • 0.7.2

    • Added a .finish() method to NpzWriter. All users of NpzWriter should call this method, after the write of the last array, in order to properly handle errors. (Without calling .finish(), dropping will automatically attempt to finish the file, but errors will be silently ignored.)
    • Changed the write_npy convenience function and the NpzWriter::add_array method to buffer writes using BufWriter. This significantly improves write performance for arrays which are not in standard or Fortran layout. The docs of WriteNpyExt::write_npy have also been updated to recommend that users wrap the writer in a BufWriter. Thanks to @bluss for mentioning the unbuffered writes issue.
    • Changed WriteNpyExt::write_npy to always call .flush() before returning. This is convenient when the writer passed to WriteNpyExt::write_npy is wrapped in a BufWriter.
  • 0.7.1

    • Added support for viewing byte slices as .npy files, primarily for use with memory-mapped files. See the ViewNpyExt and ViewMutNpyExt extension traits. By @n3vu0r and @jturner314.
    • Added support for creating files larger than available memory with write_zeroed_npy.
    • Improved handling of overflow in the number of bytes to read as specified by the shape and element type in the .npy file header. Before, if the number of bytes of data was more than isize::MAX, the implementation would attempt to create the array anyway and panic. Now, it detects this case before attempting to create the array and returns Err(ReadNpyError::LengthOverflow) instead.
  • 0.7.0

    • Updated to ndarray 0.14.
    • Updated to Rust 1.42.
  • 0.6.0

    • Changed write_npy to take the array by reference instead of by value, by @flaghacker.
  • 0.5.0

    • Updated to ndarray 0.13.
    • Updated to Rust 1.38.
    • Added read_npy and write_npy convenience functions.
    • Added support for npy format version 3.0.
    • Renamed ReadableElement::read_vec to ::read_to_end_exact_vec.
    • Refactored the error types and variants, including removing the associated Error type from Readable/WritableElement and updating to the new style of std::error::Error implementation.
    • Updated the padding calculation to make the total header length be divisible by 64 instead of just 16 when writing files. (See numpy/numpy#9025.)
    • Fixed determination of file format version when the addition of padding changes the required version when writing the file.
    • Fixed miscellaneous bugs related to overflow and error handling.
  • 0.4.0

    • Added support for reading/writing arrays of bool, by @tobni and @jturner314.
    • Updated to zip 0.5.
    • Updated to Rust 1.32.
    • Renamed the compressed_npz_default feature to compressed_npz because the zip crate no longer allows the user to select the compression backend.
  • 0.3.0

    • Updated to ndarray 0.12.
    • Updated to num-traits 0.2 (replacing dependency on num).
    • Updated to py_literal 0.2.
  • 0.2.0

    • Updated to zip 0.4.
    • Made the compression backend for compressed .npz files user-selectable.
    • Reworked how feature selection works. This should only affect you if you use default-features = false, features = ["compressed_npz"].
  • 0.1.1

    • Improved crate documentation (no functional changes).
  • 0.1.0

    • Initial release.

Contributing

Please feel free to create issues and submit PRs. PRs adding more tests would be especially appreciated.

License

Copyright 2018–2021 Jim Turner and ndarray-npy developers

Licensed under the Apache License, Version 2.0, or the MIT license, at your option. You may not use this project except in compliance with those terms.

Dependencies

~3.5MB
~76K SLoC