multipletau
Multipe-tau correlation is computed on a logarithmic scale (less data points are computed) and is thus much faster than conventional correlation on a linear scale such as numpy.correlate.
Installation
Multipletau supports Python 2.7 and Python 3.3+ with a common codebase. The only requirement for multipletau is NumPy (for fast operations on arrays). Install multipletau from the Python package index:
pip install multipletau
Documentation
The documentation, including the reference and examples, is available on readthedocs.io.
Usage
import numpy as np
import multipletau
a = np.linspace(2,5,42)
v = np.linspace(1,6,42)
multipletau.correlate(a, v, m=2)
array([[ 0. , 569.56097561],
[ 1. , 549.87804878],
[ 2. , 530.37477692],
[ 4. , 491.85812017],
[ 8. , 386.39500297]])Citing
The multipletau package should be cited like this (replace “x.x.x” with the actual version of multipletau that you used and “DD Month YYYY” with a matching date).
Paul Müller (2012) Python multiple-tau algorithm (Version x.x.x) [Computer program]. Available at https://pypi.python.org/pypi/multipletau/ (Accessed DD Month YYYY)
You can find out what version you are using by typing (in a Python console):
>>> import multipletau
>>> multipletau.__version__
'0.3.0'2 maintainers
Metadata
2 maintainers
Release files for multipletau 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| multipletau-0.3.0.tar.gz | 94.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| multipletau-0.3.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 105.9 kB
Release files / multipletau-0.3.0.tar.gz
| Download URL | multipletau-0.3.0.tar.gz |
|---|---|
| Size | 94.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
38843d2e6b7db2d711710669c9dc9413e0539368ca80c7077b6a123cd28dc307
|
|
BLAKE2b-256 checksum How to use checksums |
0a13cdd78ce44671fa79dcc72d94b55659e3d14f3510aa8cc6f74cd3d1b43b0e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.14
|
Release files / multipletau-0.3.0-py2.py3-none-any.whl
| Download URL | multipletau-0.3.0-py2.py3-none-any.whl |
|---|---|
| Size | 11.9 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
eb38ffb2beff78b3bd3f8212e1ae5a84688b09efeebcd530ab7f5709938a50da
|
|
BLAKE2b-256 checksum How to use checksums |
96f87e540628ceba9da487962159bee56d173c86c3b1bbd62e0865b2e9269c1b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.14
|
Security for multipletau 0.3.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
