rowingdata 0.45

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

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

To upgrade:

$ pip install —-upgrade rowingdata

or

$ easy_install —-upgrade rowingdata

Release Notes:

0.45

• Added saving and loading of rower data (so you can store your password and HR data)

0.43

• Attempting to remove the dubious DataFrame copy errors using df.loc

0.42

• Added RowPro CSV Parser

• Added summary statistics and interval statistics (also copies the output to clipboard)

• Interval statistics now (sort of) works for Desktop Painsled data

To Use

Beta. Use with caution.

Import

Import the package

>>> from rowingdata import *

Your personal data

If you’re not me (or have identical heart rate thresholds), you will have to change the default values for the rower. For example:

>>> john = rowingdata.rower(hrut2=100,hrut1=120,hrat=140,hrtr=150,hran=170,hrmax=180,c2username="johntherower",c2password="caughtacrab")

You can store this locally like this

>>> john.write("johnsdata.txt")

Then you can load this like this

>>> john = rowingdata.read_obj("johnsdata.txt")

Painsled

To use with Painsled CSV data, simply do

>>> row = rowingdata.rowingdata("testdata.csv",rower=myrower)
>>> row.plotmeters_erg()
>>> print row.allstats()

To use with RowPro CSV data, simply do

>>> 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()

CrewNerd (and other TCX)

To use with CrewNerd TCX data, simply do

>>> tcx = rowingdata.TCXParser("2016-03-25-0758.tcx")
>>> tcx.write_csv("example_data.csv")
>>> row = rowingdata.rowingdata("example_data.csv",rower=myrower)
>>> row.plotmeters_otw()
>>> row.plottime_otw()
>>> print row.summary()

Other useful stuff

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

>>> rowingdata.dorowall("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’

Known bugs

• Something wrong with the time values when imported from RowPro

Future functionality

• Add upload to concept2 logbook (that’s why we have the username and such in the rower class)

• Add support for other erg software tools (just need the csv/tcx and it will be easy)

• Add some command line tools to do the most common stuff