PyMICE - a Python® library for mice behavioural data analysis
Project description
PyMICE is a Python® library for mice behavioural data analysis.
The library can be used for loading and analysing of data obtained from IntelliCage™ system in an intuitive way in Python programming language.
The library provides user with an object oriented application programming interface (API) and a data abstraction layer. It also comes with auxiliary tools supporting development of analysis workflows, like data validators and a tool for workflow configuration.
We ask that PyMICE resource identifier (RRID:nlx_158570) is provided in any published research making use of PyMICE.
For more details please see The project website.
Acknowledgement
JK and SŁ supported by Symfonia NCN grant: UMO-2013/08/W/NZ4/00691.
AP supported by a grant from Switzerland through the Swiss Contribution to the enlarged European Union (PSPB-210/2010 to Ewelina Knapska and Hans-Peter Lipp).
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Hashes for PyMICE-0.2.5.post0-cp35-none-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 18075a1256a2a1a743760127a9a0215c8f3d21315bde7904042fe220f73cd109 |
|
MD5 | f02f95eb124caf7ce20c849a8e476fb6 |
|
BLAKE2b-256 | c1e4d75a7a47d32e7656f830b047e83c201555c515c364ca8c77704dcbe1571c |
Hashes for PyMICE-0.2.5.post0-cp35-cp35m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0d7d2218f4a638f0d33970b7cad13fedd7709a0c0db55c35ac5a17fa88830d8f |
|
MD5 | e57758defa4b670d3528f0f1eaf7623c |
|
BLAKE2b-256 | b119cbb163fa4edc9c02e4f91991f2c6bf6b631276f62022a725f1842078f6a2 |
Hashes for PyMICE-0.2.5.post0-cp34-none-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d014fc9725e7b407c40bb8841ff64c5ce5d22406a7ee8b2313158ad94366a992 |
|
MD5 | 13ac593335754206063f29113aac82f8 |
|
BLAKE2b-256 | f2d55addd21efaa75c2d750eb66888b328b30394e8df3a97fe75c8e967008f21 |
Hashes for PyMICE-0.2.5.post0-cp34-none-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9e9aa69d97222131f67dd2ca981d48412053e9f59cf761befe71febb939bc413 |
|
MD5 | 83fa2fed7c83b3c0498ef4bdd5836004 |
|
BLAKE2b-256 | 98f084b820f15d7655d1ffd47ebda738549d574377200a74a289b6875d47ba2e |
Hashes for PyMICE-0.2.5.post0-cp33-none-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 99210cf0ccf2b10be604131da5ed517e05b27121bb0f0c1a2dbeeaec6ef38daf |
|
MD5 | ab7bc7de9328566800f5dfdf98e24384 |
|
BLAKE2b-256 | 293aeda7d3175222e9efe0ccab7deadeac15ac8228d020959716906725faf969 |
Hashes for PyMICE-0.2.5.post0-cp33-none-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 47244946e474ff73f3d0473a57430c9a3fbbc31d5005d6c5aa19aa7a6e8fed14 |
|
MD5 | b4ccb204a82383c2a7df42c3ab2bc763 |
|
BLAKE2b-256 | 98376026e86aeaed4128578d535740c51180d68400523772d5e9375cec4426b9 |
Hashes for PyMICE-0.2.5.post0-cp27-none-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 586c5fd6ac35ba2b865bb11ce6104540c2c1ce7520ec82c789fbcc81b4a00b1a |
|
MD5 | 14159102235304efd5144bab0c6fc7a5 |
|
BLAKE2b-256 | 99e31b8560559802b083588c61766a86abbed1c01561d3ead785566fedd72891 |
Hashes for PyMICE-0.2.5.post0-cp27-none-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 16436df1e95591c8301e984ef312c3c2281a948cf624d62cf4ef55b19f7600b1 |
|
MD5 | e00296de5cb99657cbb416d26cbd24ac |
|
BLAKE2b-256 | 6f72bb97a9f4a860f72dfab9cd95457a6b9d27558a3680f63b2442268cbd309e |