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
To upgrade:
$ pip install —-upgrade rowingdata
or
$ easy_install —-upgrade rowingdata
Release Notes:
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
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
>>> row.uploadtoc2()
This will upload your row to Concept2 logbook. Only date, distance, duration. Still have to add type, weight category, verification code??
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
Project details
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