multipoles | Python package for multipole expansions | Math library

 by   maroba Python Version: 0.4.0 License: No License

kandi X-RAY | multipoles Summary

kandi X-RAY | multipoles Summary

multipoles is a Python library typically used in Institutions, Learning, Education, Utilities, Math applications. multipoles has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install multipoles' or download it from GitHub, PyPI.

multipoles is a Python package for multipole expansions of the solutions of the Poisson equation (e.g. electrostatic or gravitational potentials). It can handle discrete and continuous charge or mass distributions.
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              multipoles has a low active ecosystem.
              It has 15 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              multipoles has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of multipoles is 0.4.0

            kandi-Quality Quality

              multipoles has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              multipoles does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              multipoles 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.
              Installation instructions, examples and code snippets are available.
              It has 287 lines of code, 23 functions and 5 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed multipoles and discovered the below as its top functions. This is intended to give you an instant insight into multipoles implemented functionality, and help decide if they suit your requirements.
            • Calculate the center of the particle distribution .
            • Convert cartesian to spherical coordinates .
            • Calculate the multipole coefficient .
            • Calculate the multiprocessing contribution of a given mass .
            • Assert that the charge distribution is well - formed .
            • Check that keys are in the given dictionary .
            Get all kandi verified functions for this library.

            multipoles Key Features

            No Key Features are available at this moment for multipoles.

            multipoles Examples and Code Snippets

            multipoles,Examples,Continuous Charge Distribution
            Pythondot img1Lines of Code : 42dot img1no licencesLicense : No License
            copy iconCopy
            from multipoles import MultipoleExpansion
            import numpy as np
            
            # First we set up our grid, a cube of length 10 centered at the origin:
            
            npoints = 101
            edge = 10
            x, y, z = [np.linspace(-edge/2., edge/2., npoints)]*3
            XYZ = np.meshgrid(x, y, z, indexing='  
            multipoles,Examples,Discrete Charge Distribution
            Pythondot img2Lines of Code : 23dot img2no licencesLicense : No License
            copy iconCopy
            from multipoles import MultipoleExpansion
            
            # Prepare the charge distribution dict for the MultipoleExpansion object:
            
            charge_dist = {
                'discrete': True,     # point charges are discrete charge distributions
                'charges': [
                    {'q': 1, 'xyz':  
            multipoles,Installation
            Pythondot img3Lines of Code : 1dot img3no licencesLicense : No License
            copy iconCopy
            pip install multipoles
              

            Community Discussions

            QUESTION

            Matplotlib : how to make appear and increase the size of minor and major ticks on x logscale axis
            Asked 2020-Jun-04 at 12:20

            I am working on the plot of a (logscale,symlog) data. I have difficulties to make appear on x axis (logscale) the minor ticks with a visible height and width.

            In x axis, I have values starting from 1e-8 to 1. At the beginning, because of a reason that I don't know, I had only a "2 power 10th" interval, i.e I was getting on the plot of x_axis the values of majors like this :

            ...

            ANSWER

            Answered 2020-Jun-01 at 17:26

            You could generate the minor ticks like this:

            Source https://stackoverflow.com/questions/62136645

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

            Vulnerabilities

            No vulnerabilities reported

            Install multipoles

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

          • CLONE
          • HTTPS

            https://github.com/maroba/multipoles.git

          • CLI

            gh repo clone maroba/multipoles

          • sshUrl

            git@github.com:maroba/multipoles.git

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