TreeCorr | efficiently computing 2-point and 3-point correlation

 by   rmjarvis Python Version: 5.0.1 License: Non-SPDX

kandi X-RAY | TreeCorr Summary

kandi X-RAY | TreeCorr Summary

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

Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to
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              TreeCorr has a low active ecosystem.
              It has 87 star(s) with 36 fork(s). There are 12 watchers for this library.
              There were 2 major release(s) in the last 12 months.
              There are 7 open issues and 100 have been closed. On average issues are closed in 172 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of TreeCorr is 5.0.1

            kandi-Quality Quality

              TreeCorr has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              TreeCorr has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              TreeCorr 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 TreeCorr and discovered the below as its top functions. This is intended to give you an instant insight into TreeCorr implemented functionality, and help decide if they suit your requirements.
            • Run corr2 coroutine
            • Read a list of catalogs from the config
            • Read the patches
            • Get a list of patches
            • Check the contents of the file
            • Check if the configuration is required
            • Determine if a configuration is required
            • Get value from config
            • Calculate the weighted ratio of pairs
            • Process cross - correlation between two categories
            • Process pairwise - correlations
            • Process cross - correlation
            • Process NNN cross - correlations
            • Decorator to format positional arguments
            • Process NNN cross - correlation
            • Download file
            • Downloads and saves the distributions
            • Process pairwise pairwise correlations
            • Reads the model from the given data
            • Perform the process of the cross - correlation
            • Calculate the inverse correlation coefficient
            • Processes two sets of patches
            • Run corr3
            • Run Dessv
            • Write the catalog to a file
            • Processes a set of cat1 and cat2
            Get all kandi verified functions for this library.

            TreeCorr Key Features

            No Key Features are available at this moment for TreeCorr.

            TreeCorr Examples and Code Snippets

            No Code Snippets are available at this moment for TreeCorr.

            Community Discussions

            No Community Discussions are available at this moment for TreeCorr.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install TreeCorr

            You can install using 'pip install TreeCorr' or download it from GitHub, PyPI.
            You can use TreeCorr 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 TreeCorr

          • CLONE
          • HTTPS

            https://github.com/rmjarvis/TreeCorr.git

          • CLI

            gh repo clone rmjarvis/TreeCorr

          • sshUrl

            git@github.com:rmjarvis/TreeCorr.git

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