rowingdata 0.72.0

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

Command Line Tools

Beta. Use with caution.

The easiest way to use rowingdata is from the command line.

First, create a rower data file (if you don’t have one yet). Just run the following command and answer a few questions about yourself. If you don’t know what heart rate bands are, check here http://www.freespiritsrowing.com/content/utilities/hr-bands/ :

$ roweredit yourfilename.txt

You can omit the file name. This will create a file defaultrower.txt. You can always run the same command to change parameters (for example if you lost or gained weight, change the user name or password, etc.

Now you need the data files for your row. (The install comes with a few test files.) Get a TCX file (and a CSV summary file) from CrewNerd. TCX files from other tools should also work (not tested), as long as the TCX is valid.

Or get a CSV export from painsled.

TCX files

Generic TCX

If you have a generic TCX file (from a SpeedCoach, from a Garmin), the following will create plots and spit out some summary text

$ tcxplot tcxfile.tcx yourrower.txt

If you prefer a time based plot:

$ tcxplottime tcxfile.tcx yourrower.txt

Some TCX files do not have GPS position data. In that case:

$ tcxplot_nogeo tcxfile.tcx yourrower.txt
$ tcxplottime_nogeo tcxfile.tcx yourrower.txt

CrewNerd with summary

Having a crewnerddata.csv (summary csv) and a crewnerddata.tcx, the following will create plots and spit out some summary text

$ crewnerdplot crewnerddata yourrower.txt

The yourrower.txt argument is the file where you keep your rower data. This is optional. If you don’t provide it, the tool will look for defaultrower.txt. If it doesn’t find that, it will use some default values.

The script will also spit out some statistics from the summary csv.

If you prefer a time based plot:

$ crewnerdplottime crewnerddata yourrower.txt

The following will upload your row to the Concept2 logbook, and create a file crewnerddata.tcx_o.csv that looks like a painsled csv, for future use

$ tcxtoc2 crewnerddata.tcx yourrower.txt

Again, yourrower.txt is optional.

Here is the row on the Concept2 logbook:

Painsled

Having painsled data in testdata.csv, the following will create plots and spit out some summary text

$ painsledplot testdata.csv yourrower.txt

or

$ painsledplottime testdata.csv yourrower.txt

The yourrower.txt argument is the file where you keep your rower data. This is optional. If you don’t provide it, the tool will look for defaultrower.txt. If it doesn’t find that, it will use some default values.

The following will upload your row to the Concept2 logbook:

$ painsledtoc2 testdata.csv yourrower.txt

Again, yourrower.txt is optional.

Here is the row on the Concept2 logbook

Copying to clipboard

From the command-line, this only works on windows:

$ copystats testdata.csv yourrower.txt

From Interactive python shell

Beta. Use with caution.

Import

Import the package

>>> import rowingdata

Your personal data

The old and difficult way

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")

The new and easy way

Since version 0.65 there are easier ways.

Create a new rower through some interactive Q&A:

>>> rowingdata.roweredit("johnsdata.txt")

If you omit the file name, it will default to “defaultrower.txt”

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

If you want to change John’s data, again just type:

>>> rowingdata.roweredit("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)']

Of course you have access to the entire data frame as well:

>>> df = row.df
>>> df.describe

To create the colorful plots, 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")

Plots and statistics

>>> row.uploadtoc2()

This will upload your row to Concept2 logbook. It just simply fill the online form for you. So nothing more than total distance and duration, date, weight category and row type

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’

Release Notes:

0.72.x

• added command line tools for generic TCX files (should work with speedcoach)

0.71.x

• painsledDesktopParser now removes the “00 waiting to row”: Statistics for Painsled Desktop work

• Command line scripts should now install well

• Moved test data to testdata folder

• replaced * operator for the bool dtype with &

• tested on Linux (Ubuntu), Mac OS X (thx Greg), Windows 7 & Windows 10

• fixed bug related to clipboard copying on Mac and Linux. I have temporarily disabled clipboard copying of summary strings for all platforms except windows.

• using elapsed time where possible instead of time stamps

0.65

• Expanded command line scripts with time plots

• Command line scripts now take a rower file as an optional second argument

• Command line script to change rower parameters easily

0.63

• Fixed a bug that caused unwanted forgetting of Concept2 username and password

0.62

• Fixed the time plot bug which also led to errors in the Concept2 upload (needed to sort the painsled data by time)

0.6

• Added command-line tools and some test data

0.52

• Adding weight and row type to Concept2 upload

• Adding options to locally save concept2 username and password

• Added row type (e.g. “Indoor Rower” or “On-water”) to rowingdata

0.51

• Corrected some dependencies errors

0.5

• Upload to Concept2 logbook is working!

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

Known bugs

• getting “global name ‘dateutil’ is not defined error when using from interactive Python in any other directory than my development directory. The command line stuff works fine.

• Tcl wasn’t installed properly warning

• Copy to clipboard doesn’t work from command-line on Linux, OS X

Future functionality

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

• check/develop support for speedcoach

• Make y axes on plots flexible (around the max and min value)

• Come up with a way to add Watts to the rowing plots