Metadata-Version: 2.1
Name: rplot
Version: 1.8
Summary: A stream-based realtime scientific data plotter
Home-page: https://github.com/h-ohsaki/rplot.git
Author: Hiroyuki Ohsaki
Author-email: ohsaki@lsnl.jp
License: UNKNOWN
Description: # NAME
        
        rplot - stream-based real-time scientific data plotter
        
        ![video](https://github.com/h-ohsaki/rplot/blob/master/screenshot/video.gif)
        
        # SYNOPSIS
        
        rplot [-vcW] [-h n[,n...]] [-m #] [-g unit] [-w range] [-F fps]
        
        # DESCRIPTION
        
        This manual page documents **rplot**, a stream-based real-time
        scientific data plotter written in Python.  **rplot** reads a stream
        of data, which is a series of lines, each of which contains one or
        more numeric values.  **rplot** interprets those numbers in the stream
        and display a two-dimensional plot for multiple data series
        on-the-fly.
        
        **rplot** is a handy tool for visualizing a large amount of scientific
        data, which are typically generated from, for instance, an instance of
        running computer simulation program.
        
        **rplot** continuously read lines from the standard input.  The format
        of the input stream is a simple white-space-separated numeric values.
        Each field must be a valid string interpretable by Python's
        **float()** function.  Every field may be optionally prefixed by a
        label, which is automatically parsed and removed by **rplot**.
        
        One notable features of **rplot** is that it supports both the GUI and
        the CUI mode; i.e., visualization on graphic terminals based on PyGame
        (built on SDL library) and visualization on text terminals based on
        Curses library.  If you prefer to watch the fine details of scientific
        data, running **rplot** in the GUI mode is suitable.  On the other
        hand, if you prefer to quickly grasp the dynamics of scientific data,
        running **rplot** in the CUI mode is a better choice since the CUI
        mode runs ultra-fast.
        
        During the visualization, you can tweak the output of **rplot**.  The
        current version of **rplot** supports the following commands.
        
        - 0 -- 9
        
          Turn on and off the selected data series (e.g., pressing 0 toggles
          the display of the first data series).
        
        - Ctrl-a
        
          Rewind to the beginning of the input stream.
        
        - Ctrl-e
        
          Display all available data stream, which have been already parsed
          from the standard input.
        
        - Ctrl-f, Ctrl-b
        
          Change the range of the display window.  Both Ctrl-f and Ctrl-b
          enlarge the current window of the display, but the direction of
          enlargement is different.
        
        - f
        
          Fill all the time series in different colors.
        
        - q, ESC
        
          Terminate the **rplot** program.
        
        # OPTIONS
        
        TBD
        
        # INSTALLATION
        
        ```sh
        $ pip3 install rplot
        ```
        
        # AVAILABILITY
        
        The latest version of **rplot** is available at PyPI
        (https://pypi.org/project/rplot/) .
        
        # AUTHOR
        
        Hiroyuki Ohsaki <ohsaki[atmark]lsnl.jp>
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: POSIX
Description-Content-Type: text/markdown
