python-neo | representing electrophysiology data in Python

 by   NeuralEnsemble Python Version: 0.11.1 License: BSD-3-Clause

kandi X-RAY | python-neo Summary

kandi X-RAY | python-neo Summary

python-neo is a Python library. python-neo has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install python-neo' or download it from GitHub, PyPI.

Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
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            kandi-support Support

              python-neo has a low active ecosystem.
              It has 253 star(s) with 216 fork(s). There are 33 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 147 open issues and 450 have been closed. On average issues are closed in 1187 days. There are 23 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of python-neo is 0.11.1

            kandi-Quality Quality

              python-neo has 0 bugs and 0 code smells.

            kandi-Security Security

              python-neo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              python-neo code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              python-neo is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              python-neo releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed python-neo and discovered the below as its top functions. This is intended to give you an instant insight into python-neo implemented functionality, and help decide if they suit your requirements.
            • Parses the header file
            • Generate minimal annotations for the signal
            • Copy the object
            • Update the contents of a dictionary
            • Parse the header file
            • Determine matching nsx and nev
            • Extract the file specification
            • Remove empty segments
            • Generate diagram
            • Parse the header of the MPX file
            • Parse the first entry in the file
            • Parse the xml header
            • Parse the header of the file
            • Parse the header of all signals
            • Parse the VCF header
            • Parse the hdf5 header
            • Parses the header
            • Merge two SpikeTrain objects into one
            • Parses the file and returns the header
            • Initialize the folder structure
            • Parse the TDS header file
            • Parse the header
            • Serialize NeoBlock to EDF format
            • Parses the header of the file
            • Return a Segment object
            • Parse the header from the file
            Get all kandi verified functions for this library.

            python-neo Key Features

            No Key Features are available at this moment for python-neo.

            python-neo Examples and Code Snippets

            No Code Snippets are available at this moment for python-neo.

            Community Discussions

            QUESTION

            Adding a python list parameter in a neo4j query
            Asked 2021-Aug-20 at 10:27

            I'm about to run a query in neo4j with a parameter, but it always returns me an error.

            ...

            ANSWER

            Answered 2021-Aug-20 at 10:06
            MATCH (p1:Item),(p2:Item) where p1.value=$params RETURN  p1.value AS from, p2.value AS to, gds.alpha.similarity.euclideanDistance((p1.embeddingNode2vec), (p2.embeddingNode2vec)) AS similarity order by similarity desc limit 40
            

            Source https://stackoverflow.com/questions/68860277

            QUESTION

            Can't install Pip package on Raspberry PI 4 (adafruit_circuitpython_neopixel)
            Asked 2021-Apr-26 at 16:14

            I'm trying to install the library above on a Raspberry Pi 4 running Raspbian Buster / RetroPi .

            Setup collects packages, and then fails on setup.py stating:

            ...

            ANSWER

            Answered 2021-Apr-26 at 16:14

            SuperStormer suggested sudo apt install python3-dev - which worked!

            I have no idea why this works, as This post suggests that it's usage is for Python extensions, not regular libraries.

            It apparently contains the Python C headers, so maybe the library needed those for some reason.

            Source https://stackoverflow.com/questions/67133353

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install python-neo

            You can install using 'pip install python-neo' or download it from GitHub, PyPI.
            You can use python-neo like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/NeuralEnsemble/python-neo.git

          • CLI

            gh repo clone NeuralEnsemble/python-neo

          • sshUrl

            git@github.com:NeuralEnsemble/python-neo.git

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