A sparse vector is a 1D numerical list where most (say, more than 95% of) values will be 0 (or some other default) and for reasons of memory efficiency you don’t wish to store these. (cf. Sparse array)
This implementation has a similar interface to Python’s 1D numpy.ndarray but stores the values and indices in linked lists to preserve memory.
sparse_vector is for numerical data only, if you want any type of data, have a look at sparse_list, the parent library, a dictionary-of-keys implementation of a sparse list in python.
If you need 2D matrices, have a look at scipy.sparse, they also have a linked lists implementation, lil_matrix.
Installation
Available on the cheeseshop.
Installation is simply:
$ pip install sparse_vectorUsage
See the unit-tests!
Contributing
Fork it
Create your feature branch (git checkout -b my-new-feature)
Commit your changes (git commit -am 'Add some feature')
Ensure the tests pass for all Pythons in .travis.yml <https://github.com/johnsyweb/python_sparse_vector/blob/master/.travis.yml>__
Push to the branch (git push origin my-new-feature)
Create new Pull Request
Thanks
johnsyweb for the original sparse_list.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file sparse_vector-0.4.tar.gz.
File metadata
- Download URL: sparse_vector-0.4.tar.gz
- Upload date:
- Size: 4.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a9f2667f0ab3347c13acc5e51f91426b42a729107863a5923f4e9ac6fba088a2
|
|
| MD5 |
dbb76f5a235ae6c9ad98b35ee005fa0c
|
|
| BLAKE2b-256 |
6751944657e79f36bd4bf7e259f4649e695e6d867ae14192f939bab5519760e2
|
