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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


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’

Project details


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0.31

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