NeuroKit.py | Python Toolbox for Statistics and Neurophysiological Signal | Dataset library

 by   neuropsychology Python Version: v0.2.8 License: MIT

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kandi X-RAY | NeuroKit.py Summary

kandi X-RAY | NeuroKit.py Summary

NeuroKit.py is a Python library typically used in Artificial Intelligence, Dataset applications. NeuroKit.py 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 NeuroKit.py' or download it from GitHub, PyPI.

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
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              NeuroKit.py has a low active ecosystem.
              It has 336 star(s) with 99 fork(s). There are 34 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 29 open issues and 38 have been closed. On average issues are closed in 44 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of NeuroKit.py is v0.2.8

            kandi-Quality Quality

              NeuroKit.py has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              NeuroKit.py is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              NeuroKit.py releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are available. Examples and code snippets are not available.
              NeuroKit.py saves you 1261 person hours of effort in developing the same functionality from scratch.
              It has 2834 lines of code, 119 functions and 41 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed NeuroKit.py and discovered the below as its top functions. This is intended to give you an instant insight into NeuroKit.py implemented functionality, and help decide if they suit your requirements.
            • Calculate bio event related to given epoch
            • Parse RSP event
            • Calculates EDA_Event related to a given epoch
            • Compute events related to an ECG event
            • Compute microstates pattern from all data points
            • Calculate the complexity of a signal
            • Performs clustering clustering
            • Compute the features for each microstates
            • Create a DataFrame of bio processing
            • Calculates the complexity of the waveform
            • Process ECG
            • Compute the HRV of an ECG
            • Read an Acqknowledge knowledge file
            • Find the creation date of a file
            • Plot polar bar chart
            • Generate a range based on a normal distribution
            • Plot diagnostic plot
            • Generate the topo topo plot
            • Evaluate power per epoch
            • Calculate erp
            • Evaluate the raw data for the given experiment
            • R Compute the Complexity
            • Add events to raw data
            • Plot an Eg polynomial distribution
            • Compute the PSD for a given raw data
            • Parses the classifaction report
            Get all kandi verified functions for this library.

            NeuroKit.py Key Features

            No Key Features are available at this moment for NeuroKit.py.

            NeuroKit.py Examples and Code Snippets

            No Code Snippets are available at this moment for NeuroKit.py.

            Community Discussions

            Trending Discussions on NeuroKit.py

            Why do i get an Attribute Error when using Neurokit?

            QUESTION

            Why do i get an Attribute Error when using Neurokit?
            Asked 2019-Sep-14 at 03:46

            Why do i get an attribute error when i run this code in jupyter ? I am trying to figure out how to use Neurokit.

            Ive tried to look through the modules one by one, but i seem to find the error.

            ...

            ANSWER

            Answered 2019-Sep-14 at 03:46

            You could downgrade you scikit-learn version if you don't need the most recent fixes using

            Source https://stackoverflow.com/questions/57790822

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

            Vulnerabilities

            No vulnerabilities reported

            Install NeuroKit.py

            You should install NeuroKit2, see here.

            Support

            You should contribute to NeuroKit2, see here.
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/neuropsychology/NeuroKit.py.git

          • CLI

            gh repo clone neuropsychology/NeuroKit.py

          • sshUrl

            git@github.com:neuropsychology/NeuroKit.py.git

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