# Welcome to rowingdata’s documentation!

## Rowingdata

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:

#### 0.52

- 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

### 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. 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’

### Known bugs

- Something wrong with the time values when imported from RowPro

### Future functionality

- Add some command line tools to do the most common stuff
- Add support for other erg software tools (just need the csv/tcx and it will be easy)

# rowingdata

- rowingdata package
  - Submodules
  - rowingdata.rowingdata module
  - Module contents

# Contents:

# Indices and tables

- Index
- Module Index
- Search Page