phenodata | processing toolkit for open access phenology data | Data Visualization library

 by   earthobservations Python Version: 0.13.1 License: AGPL-3.0

kandi X-RAY | phenodata Summary

kandi X-RAY | phenodata Summary

phenodata is a Python library typically used in Analytics, Data Visualization applications. phenodata has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install phenodata' or download it from GitHub, PyPI.

An acquisition and processing toolkit for open access phenology data.
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            kandi-support Support

              phenodata has a low active ecosystem.
              It has 21 star(s) with 4 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 9 open issues and 1 have been closed. On average issues are closed in 1 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of phenodata is 0.13.1

            kandi-Quality Quality

              phenodata has no bugs reported.

            kandi-Security Security

              phenodata has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              phenodata is licensed under the AGPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              phenodata releases are not available. You will need to build from source code and install.
              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 phenodata and discovered the below as its top functions. This is intended to give you an instant insight into phenodata implemented functionality, and help decide if they suit your requirements.
            • Run the program
            • Setup logging
            • Create a cache manager
            • Returns a list with the given url
            • Coerce columns to datatype
            • Drops the cache
            • Retrieve cached item from cache
            • Bootstrap logging
            • Read data from a string
            • Convert list of lists to lists
            • Calculate the distance between two points
            • Normalize options
            • Returns the modification time of a given URL
            • Send FTP LIST command to FTP
            • Scans a directory and returns a list of files
            • Create a list of regular expression matchers
            • Convert obj to list
            • Return True if the text matches the given matchers
            Get all kandi verified functions for this library.

            phenodata Key Features

            No Key Features are available at this moment for phenodata.

            phenodata Examples and Code Snippets

            No Code Snippets are available at this moment for phenodata.

            Community Discussions

            QUESTION

            How to correctly filter out gene expression matrix by correlation value?
            Asked 2019-Jul-02 at 03:41

            I have preprocessed Affymetrix microarray gene expression data (32830 probesets in rows, 735 RNA sample in columns). Here is how my expression matrix looks like:

            ...

            ANSWER

            Answered 2019-Jun-21 at 00:12

            does something like this help:

            Source https://stackoverflow.com/questions/56692990

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

            Vulnerabilities

            No vulnerabilities reported

            Install phenodata

            You can install using 'pip install phenodata' or download it from GitHub, PyPI.
            You can use phenodata 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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            Install
          • PyPI

            pip install phenodata

          • CLONE
          • HTTPS

            https://github.com/earthobservations/phenodata.git

          • CLI

            gh repo clone earthobservations/phenodata

          • sshUrl

            git@github.com:earthobservations/phenodata.git

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