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The rowingdata library to create colorful plots from CrewNerd, Painsled and other rowing data tools

Project description

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

  • Added summary

To Use

Beta. Use with caution.

To use with Painsled CSV data, simply do

>>> from rowingdata import *
>>> row = rowingdata.rowingdata("testdata.csv")
>>> row.plotmeters_erg()
>>> print row.allstats()

To use with RowPro CSV data, simply do

>>> from rowingdata import *
>>> rp = rowingdata.RowProParser("RP_testdata.csv")
>>> rp.write_csv("example_data.csv")
>>> row = rowingdata.rowingdata("example_data.csv")
>>> row.plotmeters_erg()
>>> row.plottime_erg()
>>> print row.summary()

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")
>>> row = rowingdata.rowingdata("example_data.csv")
>>> row.plotmeters_otw()
>>> row.plottime_otw()
>>> print row.summary()

To get any data column as a numpy array, use (for example for HR data - see list below for other accessible data fields).

>>> row.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

Data Fields

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’

Project details


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0.4

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