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dicarlo-lab-to-nwb

NWB conversion scripts for DiCarlo lab data to the Neurodata Without Borders data format.

Installation

You can install the latest release of the package with pip

pip install dicarlo-lab-to-nwb

While we wait for the latest release of neo you will also require to install the latest version of neo from the github repository. You can do this by running the following command:

pip install "neo@git+https://github.com/NeuralEnsemble/python-neo@master"

To get the latest version of the code, you can install the package by cloning from github and installing

git clone https://github.com/catalystneuro/dicarlo-lab-to-nwb
cd dicarlo-lab-to-nwb
pip install -e .

If you already have the repository cloned, be sure to run the following instructions in your local copy of the github repository so you have the latest version of the code:

git pull
pip install -e . --upgrade

We recommend that you install the package inside a virtual environment. A simple way of doing this is to use a conda environment from the conda package manager (installation instructions). Detailed instructions on how to use conda environments can be found in their documentation.

Basic Usage

The basic usage of the package is documented in the showcase_notebook.ipynb

Metadata

Release files for dicarlo-lab-to-nwb 0.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dicarlo-lab-to-nwb 0.1.3
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dicarlo_lab_to_nwb-0.1.3.tar.gz 1.3 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for dicarlo-lab-to-nwb 0.1.3
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dicarlo_lab_to_nwb-0.1.3-py3-none-any.whl Python 3 none any Details

Total release size: 2.7 MB

Release files / dicarlo_lab_to_nwb-0.1.3.tar.gz

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Download URL dicarlo_lab_to_nwb-0.1.3-py3-none-any.whl
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0.1.3 This release

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