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PyMICE - a Python ™ library for analysis of mice behaviour

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A six-line example of data analysis with PyMICE library. Firstly the library is loaded, secondly data are read from file "data.zip". In the third line a list of all visits of mouse named "Jerry" is obtained. Then the first nose poke (if any) from every visit is selected and then - the side of the nose poked door. Finally numbers of left and right doors nose poked as first are counted.
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Figure 1: A six-line example of data analysis with PyMICE library. Firstly the library is loaded, secondly data are read from file "data.zip". In the third line a list of all visits of mouse named "Jerry" is obtained. Then the first nose poke (if any) from every visit is selected and then - the side of the nose poked door. Finally numbers of left and right doors nose poked as first are counted.

Mentions: An automated analysis workflow can be created easily if there is a possibility of a convenient access to data. That is the purpose of development of PyMICE library by our laboratory. The library provides its user with an object oriented application programming interface (API) and a data abstraction layer - therefore shifting ones focus from the form the data is provided to the data itself. A simple analysis can be performed in just a few lines of readable source code (see Figure 1 for an example). Moreover, the library comes with auxiliary tools supporting development of analysis workflows. Some of them facilitate data validation while other are dedicated for workflow configuration.


PyMICE - a Python ™ library for analysis of mice behaviour
A six-line example of data analysis with PyMICE library. Firstly the library is loaded, secondly data are read from file "data.zip". In the third line a list of all visits of mouse named "Jerry" is obtained. Then the first nose poke (if any) from every visit is selected and then - the side of the nose poked door. Finally numbers of left and right doors nose poked as first are counted.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4697640&req=5

Figure 1: A six-line example of data analysis with PyMICE library. Firstly the library is loaded, secondly data are read from file "data.zip". In the third line a list of all visits of mouse named "Jerry" is obtained. Then the first nose poke (if any) from every visit is selected and then - the side of the nose poked door. Finally numbers of left and right doors nose poked as first are counted.
Mentions: An automated analysis workflow can be created easily if there is a possibility of a convenient access to data. That is the purpose of development of PyMICE library by our laboratory. The library provides its user with an object oriented application programming interface (API) and a data abstraction layer - therefore shifting ones focus from the form the data is provided to the data itself. A simple analysis can be performed in just a few lines of readable source code (see Figure 1 for an example). Moreover, the library comes with auxiliary tools supporting development of analysis workflows. Some of them facilitate data validation while other are dedicated for workflow configuration.

View Article: PubMed Central - HTML

No MeSH data available.


Related in: MedlinePlus