Metadata-Version: 2.1
Name: frc1678-lime-plotter
Version: 0.5.0
Summary: A matplotlib based plotter for FRC logs and networktables
Home-page: https://github.com/frc1678/lime-plotter
Author: Wes Hardaker
Author-email: opensource@hardakers.net
License: UNKNOWN
Description: # Overview
        
        The *lime-plotter* application plots data collected from robots in
        the First Robotics Competitions and plots them to the screen or to a
        PNG file.  It can read data from CSV based log files, or via a
        networktables server (IE, from a robot over its wireless network).
        
        # Usage
        
        ## Installation
        
        Install any needed modules and the lime-plotter itself:
        
        ```
        pip3 -r requirements.txt
        python3 setup.py build
        python3 setup.py install
        ```
        
        You may wish to run the install pass with the *--user* switch to
        install to your personal space.
        
        Plots are specified either via complex command line arguments with the
        *-p* switch, or via easier-to-read-and-write YAML configuration files
        (see the example below).
        
        ## Reading from logs
        
        lime-plotter.py can be run with a *-L* switch to load CSV files from a
        file, multiple files, or a directory.  EG calling it as:
        
            lime-plotter.py -L DIR
        	
        Will load all the files it can from the *DIR* directory.  Table names
        will be assumed from the CSV file names.
        
        ## Reading from FRC network tables
        
        To read from a network table, use the *-N* switch to specify the
        network address to connect to, and optionally a *-T* switch to specify
        a default table to read from.
        
            lime-plotter.py -N 10.16.78.1 -t nettable
        
        # Example configuration
        
        The following are YAML file configuration examples.
        
        ## Example single graph
        
        The following example configuration file specifies a single plot
        called *position* and plots two overlayed graphs from the
        robot's *drivetrain_status* table:
        
        ``` yaml
        plots:
          position:
            - x: estimated_x_position
              y: estimated_y_position
              xmax: 7
              xmin: -7
              ymax: 7
              ymin: -7
              table: drivetrain_status
              fixedAspect: True
              title: X/Y Test
            - x: profiled_x_goal
              y: profiled_y_goal
              table: drivetrain_status
        ```
        
        Saving this to xy.yml and running lime-plotter.py to load logs from a
        *'log'* directory as follows:
        
            lime-plotter.py -L log -y xy.yml -o xytest.png
        	
        Might produce the following graph:
        
        ![X/Y Test Graph](./images/xytest.png)
        
        ## Example multiple graphs
        
        To display multiple plots, configuration files can contain multiple
        named entries:
        
            plots:
              velocity:
                - y: linear_velocity
                - y: angular_velocity
                  title: Velocity
              elevator:
                - y: elevator_height
                  title: elevator Height
        
        And run with
        
            lime-plotter.py -L log -y multiple.yml -o multiple.yng
        	
        Will produce a graph similar to the following:
        
        ![Multiple Graphs](./images/multiple.png)
        
        # Animation
        
        When plotting from *networktables* or with the *-a* switch applied,
        a window will open that will animate the data flowing over time (live
        in the case of *networktables*).  You can use the *-f* switch to
        change the frame rate (when graphing CSV files, it'll draw faster with
        higher values -- the default is 20; when drawing from network tables
        it'll use this value as the polling frequency, and should be set to
        the same number of milliseconds that the robot is using to update tables).
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3
Description-Content-Type: text/markdown
