visvis | Visvis - the object oriented approach to visualization | Data Visualization library

 by   almarklein Python Version: 1.14.0 License: Non-SPDX

kandi X-RAY | visvis Summary

kandi X-RAY | visvis Summary

visvis is a Python library typically used in Analytics, Data Visualization applications. visvis has no bugs, it has no vulnerabilities, it has build file available and it has low support. However visvis has a Non-SPDX License. You can install using 'pip install visvis' or download it from GitHub, PyPI.

Visvis is a pure Python library for visualization of 1D to 4D data in an object oriented way. Essentially, visvis is an object oriented layer of Python on top of OpenGl, thereby combining the power of OpenGl with the usability of Python. A Matlab/Matplotlib-like interface in the form of a set of functions allows easy creation of objects (e.g. plot(), imshow(), volshow(), surf()).
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              visvis has a low active ecosystem.
              It has 213 star(s) with 23 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 17 open issues and 96 have been closed. On average issues are closed in 375 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of visvis is 1.14.0

            kandi-Quality Quality

              visvis has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              visvis 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

              visvis releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are available. Examples and code snippets are not available.
              It has 21845 lines of code, 1912 functions and 181 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed visvis and discovered the below as its top functions. This is intended to give you an instant insight into visvis implemented functionality, and help decide if they suit your requirements.
            • Plot a 2d mesh
            • Resize the data array
            • Append a point to the point
            • Convert to a point
            • Plot a polar plot
            • Return figure object
            • Updates the owner
            • Bind a callable
            • Writes images to a file
            • Write images to a gif file
            • Construct a solid texture
            • Creates a solid mesh
            • Mouse motion event handler
            • Write images to images
            • Compiles the given text object
            • Plot a mesh
            • Create a solid box
            • Take a screenshot
            • Event handler
            • Render a text object
            • Draws the patch
            • Event handler for drawing
            • Plot a 3D mesh
            • Create a texture from a cube
            • Create a solid ring
            • Generate the surface of a 2D array
            • Motion event handler
            Get all kandi verified functions for this library.

            visvis Key Features

            No Key Features are available at this moment for visvis.

            visvis Examples and Code Snippets

            Trying to plot an image in python (using scipy and numpy)
            Pythondot img1Lines of Code : 14dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
             pip install imageio
            
             import imageio
            
             im = imageio.imread('./wifire/sd-3layers.jpg')
             type(im)
            
            import imageio
            import visvis as vv
            
            
            im = imageio.imread('./wifire/sd-3layers.jpg')
            vv.imshow
            python - 3D visualisation of surfaces and shapes in vector graphics
            Pythondot img2Lines of Code : 53dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import visvis as vv
            import numpy as np
            
            # Saddle surface.
            x_saddle = np.arange(-5, 5, 0.25)
            y_saddle = np.arange(-5, 5, 0.25)
            x_saddle, y_saddle = np.meshgrid(x_saddle, y_saddle)
            z_saddle = x_saddle**2/10. - y_saddle**2/10.
            
            # Sphere
            u = n

            Community Discussions

            Trending Discussions on visvis

            QUESTION

            Python imageio and visvis draws lines
            Asked 2020-Jun-28 at 15:13

            I'm new to python My problem is that imageio and visvis draws vertical lines instead of pixel, what's wrong?

            1

            ...

            ANSWER

            Answered 2020-Jun-28 at 15:13

            I've managed it by replacing imout=[[[255,255,255]]*len(imin[0])]*len(imin) with imout=np.zeros((len(imin),len(imin[0]),3))

            Source https://stackoverflow.com/questions/62621059

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

            Vulnerabilities

            No vulnerabilities reported

            Install visvis

            Visvis is cross-platform and runs on Python 2.x and Python 3.x. It depends on numpy, pyopengl, and needs a GUI backend (either PyQt4, PyQt5, PySide, Wx, GTK, FLTK). Installation is best done via conda (conda install visvis) or pip (pip install visvis).

            Support

            The docs are on the wiki. Online documentation is available for all classes and functions. Any questions can be asked in the visvis discussion group.
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            Install
          • PyPI

            pip install visvis

          • CLONE
          • HTTPS

            https://github.com/almarklein/visvis.git

          • CLI

            gh repo clone almarklein/visvis

          • sshUrl

            git@github.com:almarklein/visvis.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link