Metadata-Version: 1.2
Name: pyrecorder
Version: 0.1.7
Summary: Video Recording made easy - The tool you need for animations using Matplotlib, Plotly and other plotting libraries. 
Home-page: https://www.egr.msu.edu/coinlab/blankjul/pyrecorder/
Author: Julian Blank
Author-email: blankjul@egr.msu.edu
License: Apache License 2.0
Description: |travis| |python| |license|
        
        
        .. |travis| image:: https://travis-ci.com/julesy89/pyrecorder.svg?branch=master
           :alt: build status
           :target: https://travis-ci.com/julesy/pyrecorder
        
        .. |python| image:: https://img.shields.io/badge/python-3.6-blue.svg
           :alt: python 3.6
        
        .. |license| image:: https://img.shields.io/badge/license-apache-orange.svg
           :alt: license apache
           :target: https://www.apache.org/licenses/LICENSE-2.0
        
        
        .. |logo| image:: https://github.com/julesy89/pyrecorder/docs/source/_static/pyrecorder.png
          :target: https://www.egr.msu.edu/coinlab/blankjul/pyrecorder/
          :alt: pyrecorder
        
        
        .. |animation| image:: https://github.com/julesy89/pyrecorder/docs/source/_static/example_matplotlib.gif
          :target: https://www.egr.msu.edu/coinlab/blankjul/pyrecorder/
          :alt: animation
        
        
        |logo|
        
        
        
        You can find the detailed documentation here: https://www.egr.msu.edu/coinlab/blankjul/pyrecorder/
        
        
        
        Installation
        ============
        
        The framework is available at the PyPi Repository:
        
        .. code-block:: bash
        
            pip install -U pyrecorder
        
        
        Usage
        =====
        
        It's as simple as it should be. Initialize a `Video` object with a `Recorder` and record the current
        plots by calling `record()`. Finally, close the video object with `close()` and you are good to go
        and watch your video.
        
        .. code-block:: bash
        
            import numpy as np
            import matplotlib.pyplot as plt
        
            from pyrecorder.recorders.file import File
            from pyrecorder.video import Video
        
            fname = "video.mp4"
            vid = Video(File(fname))
        
            for k in range(10):
                fig, (ax1, ax2) = plt.subplots(2)
        
                X = np.random.random((100, 2))
                ax1.scatter(X[:, 0], X[:, 1], color="green")
        
                X = np.random.random((100, 2))
                ax2.scatter(X[:, 0], X[:, 1], color="red")
        
                vid.record(fig=fig)
        
            vid.close()
        
        
        
        |animation|
        
        
        Contact
        =======
        
        
        Feel free to contact me if you have any question:
        
        ::
        
            Julian Blank (blankjul [at] egr.msu.edu)
            Michigan State University
            Computational Optimization and Innovation Laboratory (COIN)
            East Lansing, MI 48824, USA
        
        
        
Keywords: video,recording,matplotlib,plotly
Platform: any
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Multimedia :: Video
Requires-Python: >=3.6
