# Welcome to rowingdata’s documentation!

## Rowingdata

### Introduction

Big Data in fitness. As much as “big data” is a buzzword, there are many fitness fanatics among the self-trackers. It’s exciting how much data we have available, and we like to play and combine. For that, we need to be able to move any data from any workout to the environment of our choice.

Some of us use Concept2 rowing machines. Some of us are On-The-Water rowers. All of us will use smartphone apps, smart watches, fitness (GPS) watches, etc. to track our activities.

Most of them will cross-train. Bike. Run. Skate.

That means, the Concept2 logbook is not a sufficient training logbook for us.

At the same time, the Concept2 logbook is used in rankings, for challenges, and more. Many of us will want to log all our rowing on the Concept2 logbook.

So there are a couple of challenges here:

- How do I get my erg rows on Strava/SportTracks/Garmin Connect?

  > - Use an ANT+ device, like explained here: https://dr3do.wordpress.com/2015/07/09/hurray/
  > - Import from RowPro to SportTracks
  > - There are many smartphone apps to capture data from the PM3/4/5 erg monitor. Not many of them export in a format that is suitable for upload to the above-mentioned sites.

- How do I get all my rows (including OTW) into the Concept2 logbook

  > - For On-Water and Erg: Add them manually
  > - For erg: Upload from ErgData, RowPro, Concept2 utility

This project aims at giving you ways to:

- Upload fitness data captured in TCX format to the Concept2 logbook (implemented)

  > - This should cover all your On-Water activities, whether they are captured with a SpeedCoach, a GPS fitness watch, your phone, or any other device. As long as you are able to export a valid TCX file.

- Get erg data captured with apps that have no “upload to Concept2” functionality and upload them to the Concept2 logbook (implemented)

  > - For example, painsled

- Get erg data captured with apps that have no TCX export functionality and convert hem to TCX (implemented)

  > - ErgData - downloaded to CSV, converted to TCX
  > - RowPro data - exported to CSV, converted to TCX.

- Make the data accessible in python and create useful plots. Who wants to be limited to what the on-line logbooks plot. Get your data and create:

  > - Color HR band charts or Pie Charts (implemented)
  > - Plot drive length, drive time, and other erg related parameters as a function of time or distance (implemented)
  > - Create histograms (Do-it-yourself).
  > - And much more (do-it-yourself). You’ve got the entire Python matplotlib at your disposal. Goodbye excel!

### Credits

The project is based on python plotting 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. For example SpeedCoach with impeller. In that case:

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

Again, yourrower.txt is optional.

Here is the row on the Concept2 logbook:

##### 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

#### 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

#### SpeedCoach

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

    $ speedcoachplot testdata.csv yourrower.txt

or

    $ speedcoachplottime 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:

    $ speedcoachtoc2 testdata.csv yourrower.txt '2015-11-05T13:15:30-05:00'

Again, yourrower.txt and date string are optional. Because the SpeedCoach CSV file content doesn’t have the row date, you may provide a date string. The tool should be quite forgiving regarding the exact format in which you write your date/time string. However, if you input something ambiguous (time zone), the tool will guess and your row may end up on the wrong date. If nothing is provided, today’s date will be taken.

#### RowPro

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

    $ rowproplot testdata.csv yourrower.txt

or

    $ rowproplottime 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.

For RowPro CSV files, upload to C2 logbook is not available on the command line. You can upload to C2 directly from the RowPro application.

#### ErgData

If you use ErgData, you can download a CSV file from your Concept2 log. Here is how you use those data in this tool:

    $ ergdataplot testdata.csv yourrower.txt

or

    $ ergdataplottime 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.

As your data are already on the Concept2 logbook, it doesn’t make sense to have a script to upload them once more.

However, you may appreciate creating a TCX file for uploading to SportTracks.mobi or Strava:

    $ ergdatatotcx testdata.csv

This will create a file testdata.csv_o.tcx which you can upload. I have tested this file on Strava and SportTracks with success. Somehow, even though the resulting file validates against the TCX Schema, I wasn’t able to upload the file to Garmin Connect.

#### Copying to clipboard

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

    $ copystats testdata.csv yourrower.txt

### Directly in Python

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()

#### RowPro

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()

#### SpeedCoach

To use with SpeedCoach CSV data, simply do

    >>> sc = rowingdata.speedcoachParser("RP_testdata.csv")
    >>> sc.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.

Export or re-export to a tcx file is done with

    >>> row.exporttotcx("test.tcx")

With the package at your full disposal, the sky is the limit. You can do any plot you like or do other statistics, like calculate your average stroke length including error margin, etc.

### 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’

If imported from TCX, Rowpro, or other tools, some data fields may not contain useful information.

### Release Notes:

#### 0.76.x

- Added export to TCX file

#### 0.75.x

- Added plotting for ErgData CSV files (exported from Concept2 log)
- Improved the colorful HR bar charts (with width parameter)
- Made y axis ranges dynamic (except for stroke rate plots)
- Replaced moving average with Exponentially Weighted Moving Average. Sounds more scientific. Doesn’t make a big difference in the data.
- In TCXParser, moved some of the heavy data lifting to __init__ (from write_csv)

#### 0.74.x

- Added command-line scripts to plot data from RowPro
- Added Pie Chart as extra plot to time based plot

#### 0.73.x

- Added parser for speedcoach CSV files
- Fixed bugs in RowProParser

#### 0.72.x

- added command line tools for generic TCX files (should work with RIM)

#### 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

- Copy to clipboard doesn’t work from command-line on Linux, OS X
- The summary statistics don’t work well when you use the TCX from Rowing in Motion (RIM).
- RowProParser doesn’t read the header information. Total row time reported by the tool is shorter by about half a stroke. Also there are a few meters missing. As RowPro has its own upload to C2 log, I didn’t fix this bug. I guess RowPro users would use the tool mainly for plotting.
- The TCX created from the CSV doesn’t work on Garmin Connect.

### Future functionality

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

  > - Done for generic TCX
  > - Done for CSV from SpeedCoach
  > - Done for RowPro
  > - Done for ErgData

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

Contents:

# Indices and tables

- Index
- Module Index
- Search Page