PyHAD

Python Hierarchical Array Datasets

Hierarchical data containers with named dimensions and advanced indexing. Structure closely mirrors hdf5 file structure. Can be used for processing of hdf5 datasets larger than memory.

Metadata

Release files for pyhad 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyhad 0.1.0
File	Size	Uploaded
pyhad-0.1.0.tar.gz	66.1 kB	Jun 7, 2020	Details

Built distribution (wheel)

Table of built distributions (wheels) for pyhad 0.1.0
File	Interpreter	ABI	Platform	Reset
pyhad-0.1.0-py3-none-any.whl 87.3 kB Jun 7, 2020	Python 3	none	any	Details

Total release size: 153.4 kB

Release files / pyhad-0.1.0.tar.gz

Download URL	pyhad-0.1.0.tar.gz
Size	66.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`93786cc9de877774e201cd2652239aea23bcf6ed914e10bf293f584c7586e257`
BLAKE2b-256 checksum How to use checksums	`9360a4cc0a7502e2ef322a9e25a891aa8df073d3c10cf98694f277bf8644bb31`
Upload date	Jun 7, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.4`

Release files / pyhad-0.1.0-py3-none-any.whl

Download URL	pyhad-0.1.0-py3-none-any.whl
Size	87.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`c6a38bca2dafaa25a4140561083dc180635b002af6f569f3a2b42224ae828053`
BLAKE2b-256 checksum How to use checksums	`5da0009ff0a38a5263e153dce7953172f9bef649002255b74f47b774e89b95dc`
Upload date	Jun 7, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.4`

Release history Release notifications | RSS feed

This release

0.1.0 This release

Jun 7, 2020 2 release files

pyhad 0.1.0