mirofile - Your buddy for dealing with raw MIROSLAV data
What is it?
MIROSLAV (Multicage InfraRed Open Source Locomotor Activity eValuator) is a platform for non-invasive monitoring of circadian locomotor activity in laboratory rodents. All of its hardware and software components are described in the paper: #url
This mirofile library, acting as a file-like object, loads raw MIROSLAV files containing experimental data and parses them into a sequence of lists, each containing appropriately-typed timestamps and sensor readings, which can then be turned into a pandas data frame by the user.
A script which exemplifies the use of this library can also be found in the MIROSLAV paper's data repository: #url.
How to install?
mirofile is available on PyPi can be installed with pip:
pip install mirofile
Dependencies
tqdm- can be also be installed withpip
License
The code is distributed under GPLv3.
Metadata
Release files for mirofile 0.1
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 |
|---|---|---|---|---|
| mirofile-0.1.tar.gz | 18.3 kB | Without provenance | Details for mirofile-0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mirofile-0.1-py3-none-any.whl | Python 3 | none | any | Details for mirofile-0.1-py3-none-any.whl |
Total release size: 36.1 kB
Release files / mirofile-0.1.tar.gz
| Download URL | mirofile-0.1.tar.gz |
|---|---|
| Size | 18.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
42a988028fbd23366d90f7e7dff9cbe7c6501c6006f123feb687327b8c80bf4b
|
|
BLAKE2b-256 checksum How to use checksums |
22237a168826fa7a78168190bcb948605d38e9614bcc61534254c2d5209fb9dd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.2
|
Release files / mirofile-0.1-py3-none-any.whl
| Download URL | mirofile-0.1-py3-none-any.whl |
|---|---|
| Size | 17.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
576425408090df08686a2736c0caf7876c1a6fcb6f7ce836ce367e668048303e
|
|
BLAKE2b-256 checksum How to use checksums |
110041561a0ac07d1677199d8b7d6e0b09d5f796c5f0e3d65080434a3763fe0a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.2
|
Security for mirofile 0.1
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.