A package for behavioral analysis in python with Stytra data
This package has been developed in the Portugues lab. Documentation can be found here.
Features
Analysis of head-embedded and freely-swimming experiment
Bout statistics
Credits
The package was created with Cookiecutter and this template.
History
0.1.0 (2020-05-13)
First release on PyPI.
Metadata
Release files for bouter 0.2.0
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 | Actions |
|---|---|---|---|---|
| bouter-0.2.0.tar.gz | 730.1 kB | Without provenance | Details for bouter-0.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| bouter-0.2.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for bouter-0.2.0-py2.py3-none-any.whl |
Total release size: 1.4 MB
Release files / bouter-0.2.0.tar.gz
| Download URL | bouter-0.2.0.tar.gz |
|---|---|
| Size | 730.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2
|
Release files / bouter-0.2.0-py2.py3-none-any.whl
| Download URL | bouter-0.2.0-py2.py3-none-any.whl |
|---|---|
| Size | 694.3 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
8c213dd272b8c44be7469e5eee0a45624fabc85e56eb583ce2eefff681c12365
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2
|
Security for bouter 0.2.0
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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