Lazy slicing and transpose operations for h5py
Project description
lazy_ops
Provides a class to allow for lazy transposing and slicing operations on h5py datasets
Installation
$ pip install lazy_ops
Usage:
import h5py
from lazy_ops import DatasetView
dsetview = DatasetView(dataset) # dataset is an instantiated h5py dataset
view1 = dsetview.lazy_slice[1:10:2,:,0:50:5].lazy_transpose([2,0,1]).lazy_slice[25:55,1,1:4:1,:].lazy_transpose()
A = view1[:] # Brackets on DataSetView call the h5py slicing method, that returns the data
B = view1.dsetread() # same as view1[:]
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
lazy_ops-0.1.2.tar.gz
(3.1 kB
view details)
Built Distribution
File details
Details for the file lazy_ops-0.1.2.tar.gz.
File metadata
- Download URL: lazy_ops-0.1.2.tar.gz
- Upload date:
- Size: 3.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | cf5caf013fa60febf86a9b9fcc9d8afcf6b242a6eeeaeb03562f96a1604229fa |
|
| MD5 | 5830ab50c322cb3df3f0939de6310b8d |
|
| BLAKE2b-256 | bc6d907d32a45ec03bea18aee75c37ce89b0d153588eac981b148e2aac0269b1 |
File details
Details for the file lazy_ops-0.1.2-py2.py3-none-any.whl.
File metadata
- Download URL: lazy_ops-0.1.2-py2.py3-none-any.whl
- Upload date:
- Size: 4.7 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e44558fc22ce1d80f4ad17a3d98d51824df8a4d83f0c5fec3065e7405d69abd1 |
|
| MD5 | d36c8f13292fe88777b23cd1359016f6 |
|
| BLAKE2b-256 | fda63a98eb7bf29057b28b50b1f9d306d90d5fecbb4148d5a16b4d65f1d3d7af |
