pyPrairieView
A Python libary for interacting with PrarieView software.
Highlights (Aspirational)
- Electrophysiology protocol design
- Electrophysiology analysis (initially dependent on protocol design)
- Metadata handling of XML files
- Imaging file compilation
- Data stream generation
- Online motion correction
- ROI-Mark Points translation
More to come in the future!
Installation
pip install pyPrairieView
Documentation
Hosted at ReadtheDocs. Available locally as HTML, LATEX and PDF.
Metadata
Release files for pyPrairieView 0.0.2
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 |
|---|---|---|---|---|
| pyPrairieView-0.0.2.tar.gz | 34.6 kB | Without provenance | Details for pyPrairieView-0.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pyPrairieView-0.0.2-py3-none-any.whl | Python 3 | none | any | Details for pyPrairieView-0.0.2-py3-none-any.whl |
Total release size: 78.5 kB
Release files / pyPrairieView-0.0.2.tar.gz
| Download URL | pyPrairieView-0.0.2.tar.gz |
|---|---|
| Size | 34.6 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/4.0.2 CPython/3.10.9
|
Release files / pyPrairieView-0.0.2-py3-none-any.whl
| Download URL | pyPrairieView-0.0.2-py3-none-any.whl |
|---|---|
| Size | 43.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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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/4.0.2 CPython/3.10.9
|
Security for pyPrairieView 0.0.2
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