polarTransform | Python package that converts between polar and cartesian | Computer Vision library

 by   addisonElliott Python Version: 2.0.0 License: MIT

kandi X-RAY | polarTransform Summary

kandi X-RAY | polarTransform Summary

polarTransform is a Python library typically used in Artificial Intelligence, Computer Vision, Numpy applications. polarTransform 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 polarTransform' or download it from GitHub, PyPI.

Python package that converts between polar and cartesian domain (in images too).
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            kandi-support Support

              polarTransform has a low active ecosystem.
              It has 17 star(s) with 9 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 3 have been closed. On average issues are closed in 9 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of polarTransform is 2.0.0

            kandi-Quality Quality

              polarTransform has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              polarTransform 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

              polarTransform 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 polarTransform and discovered the below as its top functions. This is intended to give you an instant insight into polarTransform implemented functionality, and help decide if they suit your requirements.
            • Convert an image to cartesian coordinates
            • Compute the polar point in radians
            • Compute cartesian cartesian coordinates
            • Convert to polar image
            • Convert an image to polar image
            • Get polar points image
            • Get polar coordinates from cartesian coordinates
            • Calculate polar angles
            • Returns cartesian points image
            • Generate cartesian images
            • Calculate cartesian coordinates of cartesian coordinates
            • Register custom CSS
            Get all kandi verified functions for this library.

            polarTransform Key Features

            No Key Features are available at this moment for polarTransform.

            polarTransform Examples and Code Snippets

            No Code Snippets are available at this moment for polarTransform.

            Community Discussions

            QUESTION

            How to set Half Polar Plot to North with matplotlib
            Asked 2019-Oct-03 at 14:05

            I have a function (based on this: https://gist.github.com/kanhua/fce2421c2c4eb356a9d1d9e1cb3f61fc) which produces a half-polar plot by using matplotlib.transforms.Affine2D, matplotlib.projections.PolarAxes and mpl_toolkits.axisartist.

            This is the code of my function:

            ...

            ANSWER

            Answered 2019-Oct-03 at 14:05

            You could achieve the same using:

            Source https://stackoverflow.com/questions/58217601

            QUESTION

            Plotting sector of polar plot (so a wedge) in matplotlib
            Asked 2017-May-25 at 21:47

            So I'm trying to generate a plot of Right Ascension (RA) as a function of redshift (z) in a polar plot, but I only need one sector of the polar plot, so basically I just need a wedge (the last plot on the right in the image at the bottom is what I'm going for). I've been using matplotlib's example code demo_floating_axes.py but am still having some issues. I've been able to load in my data and get it to plot, but I'm not familiar enough with the example code to be able to tweak the things I need tweaked (particularly the orientation of the wedge and the labeling on the RA axis. Here is what I've been using. The majority is from the maplotlib example code.

            ...

            ANSWER

            Answered 2017-May-25 at 21:47

            You may start off with a much simpler version without HMS angles.

            Source https://stackoverflow.com/questions/44189043

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

            Vulnerabilities

            No vulnerabilities reported

            Install polarTransform

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

          • CLONE
          • HTTPS

            https://github.com/addisonElliott/polarTransform.git

          • CLI

            gh repo clone addisonElliott/polarTransform

          • sshUrl

            git@github.com:addisonElliott/polarTransform.git

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