kikuchipy | Python library for processing and analysis of electron

 by   pyxem Python Version: 0.10.0 License: GPL-3.0

kandi X-RAY | kikuchipy Summary

kandi X-RAY | kikuchipy Summary

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

kikuchipy [ki-ko-chi-pai] is an open-source Python library for processing and analysis of electron backscatter diffraction (EBSD) patterns. The library builds on the tools for multi-dimensional data analysis provided by the HyperSpy library.
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            kandi-support Support

              kikuchipy has a low active ecosystem.
              It has 35 star(s) with 13 fork(s). There are 6 watchers for this library.
              There were 1 major release(s) in the last 6 months.
              There are 33 open issues and 149 have been closed. On average issues are closed in 86 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of kikuchipy is 0.10.0

            kandi-Quality Quality

              kikuchipy has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              kikuchipy is licensed under the GPL-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

              kikuchipy 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 kikuchipy and discovered the below as its top functions. This is intended to give you an instant insight into kikuchipy implemented functionality, and help decide if they suit your requirements.
            • Calculate EBSD patterns
            • Get the chunking for a signal
            • Returns the direction cosines for a given detector
            • Get the master patterns from the given energy
            • Plot the PC
            • Read settings from file
            • Returns a list of the desired scan groups
            • Read a list of scan groups
            • Convert scan to dict
            • Rescale the intensity of the image
            • Calculate the average of neighboring neighbours
            • Plot the distortion
            • Convert a scan group into a dictionary
            • Apply a fft filter
            • Remove static background
            • Adapted histogram using adaptive contrast
            • Plot the spherical pattern
            • Get dynamic background frequency space
            • Remove dynamic background
            • Calculate the cosine cosine of a vars
            • Write data to disk
            • Return scan data as a dictionary
            • Convert a scan into a dictionary
            • Load patterns from file
            • Calculate the dot product between two patterns
            • Normalize the image
            Get all kandi verified functions for this library.

            kikuchipy Key Features

            No Key Features are available at this moment for kikuchipy.

            kikuchipy Examples and Code Snippets

            No Code Snippets are available at this moment for kikuchipy.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install kikuchipy

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

          • CLONE
          • HTTPS

            https://github.com/pyxem/kikuchipy.git

          • CLI

            gh repo clone pyxem/kikuchipy

          • sshUrl

            git@github.com:pyxem/kikuchipy.git

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