RfPy | Teleseismic receiver function calculation

 by   paudetseis Python Version: 0.1.0 License: MIT

kandi X-RAY | RfPy Summary

kandi X-RAY | RfPy Summary

RfPy is a Python library. RfPy 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 RfPy' or download it from GitHub, PyPI.

Teleseismic receiver function calculation and post-processing
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            kandi-support Support

              RfPy has a low active ecosystem.
              It has 31 star(s) with 25 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 7 open issues and 10 have been closed. On average issues are closed in 63 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of RfPy is 0.1.0

            kandi-Quality Quality

              RfPy has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              RfPy 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

              RfPy releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 5400 lines of code, 83 functions and 18 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed RfPy and discovered the below as its top functions. This is intended to give you an instant insight into RfPy implemented functionality, and help decide if they suit your requirements.
            • Argument parser
            • Residual residuals
            • Compute the DOF of the FFT
            • Compute error contour
            • Inverse of the Fourier transform
            • Rotate the image
            • Calculate the SNR
            • Download data from a given station
            • Extract local data for a given time range
            • Computes phase - weighted phase stack
            • Plot the heatmap
            • Calculate the average weighted average
            • Calculate the SNR of the waveform
            • Compute the surface pressure stack
            • Plot a colorbar plot
            • Download data from a given client
            • Initialize the stack and damping
            • Plot the gccp
            • Decompose components into baz harmonics
            • Parse command line arguments
            • Creates a Prestack array from the CCP image
            • Return arguments for re - calculation functions
            • Prepare the RFP image
            • Get argument parser
            • Computes the azimuth of the receiver function
            • Plot the phase stacks
            Get all kandi verified functions for this library.

            RfPy Key Features

            No Key Features are available at this moment for RfPy.

            RfPy Examples and Code Snippets

            No Code Snippets are available at this moment for RfPy.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install RfPy

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

          • CLONE
          • HTTPS

            https://github.com/paudetseis/RfPy.git

          • CLI

            gh repo clone paudetseis/RfPy

          • sshUrl

            git@github.com:paudetseis/RfPy.git

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