Metadata-Version: 1.0
Name: rowingdata
Version: 0.31
Summary: The rowingdata library to create colorful plots from CrewNerd, Painsled and other rowing data tools
Home-page: http://rowsandall.wordpress.com
Author: Sander Roosendaal
Author-email: roosendaalsander@gmail.com
License: MIT
Description: Rowingdata
        --------------
        
        Based on python code by Greg Smith (https://quantifiedrowing.wordpress.com/) 
        and inspired by the RowPro Dan Burpee spreadsheet (http://www.sub7irc.com/RP_Split_Template.zip)
        
        To install 
        
        easy_install rowingdata
        
        Or
        
        $ pip install rowingdata
        
        --------------
        
        Release Notes:
        - Added RowPro CSV Parser
        
        --------------
        
        To use with Painsled CSV data, simply do
        
        >>> from rowingdata import *
        >>> res = rowingdata.rowingdata("testdata.csv")
        >>> res.plotmeters_erg()
        
        To use with RowPro CSV data, simply do
        
        >>> from rowingdata import *
        >>> rp = rowingdata.RowProParser("RP_testdata.csv")
        >>> rp.write_csv("example_data.csv")
        >>> res = rowingdata.rowingdata("example_data.csv")
        >>> res.plotmeters_erg()
        >>> res.plottime_erg()
        
        To use with CrewNerd TCX data, simply do
        
        >>> from rowingdata import *
        >>> tcx = rowingdata.TCXParser("2016-03-25-0758.tcx")
        >>> tcx.write_csv("example_data.csv")
        >>> res = rowingdata.rowingdata("example_data.csv")
        >>> res.plotmeters_otw()
        >>> res.plottime_otw()
        
        To get any data column, use (for example for HR data)
        
        >>> res.getvalues[' HRCur (bpm)']
        
        To create the colorful plots as well as copy a text summary to the clipboard,
        assuming you have a summary file from CrewNerd called 2016-03-25-0758.CSV and 
        a TCX file called 2016-03-25-0758.TCX
        
        >>> from rowingdata import *
        >>> otwplot.plotrowall("2016-03-25-0758")
        
        Now you will have the summary data on your clipboard
        
        The test data files are in the testdata folder in the install 
        
        The available data fields are
        
        'Timestamp (sec)'
        ' Horizontal (meters)'
        ' Cadence (stokes/min'
        'HRCur (bpm)'
        ' Stroke500mPace (sec/500m)'
        ' Power (watts)'
        ' DriveLength (meters)'
        ' StrokeDistance (meters)'
        ' DriveTime (ms)'
        ' StrokeRecoveryTime (ms)'
        ' AverageDriveForce (lbs)'
        ' PeakDriveForce (lbs)'
        'cum_dist'
        
        
        
Platform: UNKNOWN
