# rowingdata package

## Submodules

## rowingdata.rowingdata module

class `rowingdata.rowingdata.``RowProParser`(RPfile='RPtest.csv', skiprows=14, skipfooter=24)

  Parser for reading CSV files created by RowPro

  Use: data = rowingdata.RowProParser(“RPdata.csv”)

  > data.write_csv(“RPdata_out.csv”)

  `write_csv`(writeFile='example.csv')

    Exports RowPro data to the CSV format that I use in rowingdata

class `rowingdata.rowingdata.``TCXParser`(tcx_file)

  Parser for reading TCX files, e.g. from CrewNerd

  Use: data = rowingdata.TCXParser(“crewnerd_data.tcx”)

  > data.write_csv(“crewnerd_data_out.csv”)

  `all_values`()
  `distance_values`()
  `hr_values`()
  `lat_values`()
  `long_values`()
  `spm_values`()
  `time_values`()
  `write_csv`(writeFile='example.csv', window_size=20)

    Exports TCX data to the CSV format that I use in rowingdata

  `write_nogeo_csv`(writeFile='example.csv', window_size=5)

    Exports TCX data without position data (indoor) to the CSV format that I use in rowingdata

`rowingdata.rowingdata.``dorowall`(readFile='testdata', window_size=20)

  Used if you have CrewNerd TCX and summary CSV with the same file name

  Creates all the plots and spits out a text summary (and copies it to the clipboard too!)

`rowingdata.rowingdata.``format_dist_tick`(x, pos=None)

`rowingdata.rowingdata.``format_pace`(x, pos=None)

`rowingdata.rowingdata.``format_pace_tick`(x, pos=None)

`rowingdata.rowingdata.``format_time`(x, pos=None)

`rowingdata.rowingdata.``format_time_tick`(x, pos=None)

`rowingdata.rowingdata.``geo_distance`(lat1, lon1, lat2, lon2)

  Approximate distance between two points defined by lat1,lon1 and lat2,lon2 This is a slight underestimate but is close enough for our purposes, We’re never moving more than 10 meters between trackpoints

`rowingdata.rowingdata.``getdefaultrower`()

`rowingdata.rowingdata.``getrowtype`()

`rowingdata.rowingdata.``interval_string`(nr, totaldist, totaltime, avgpace, avgspm, avghr, maxhr, avgdps, separator='|')

  Used to create a nifty text string with the data for the interval

`rowingdata.rowingdata.``movingaverage`(interval, window_size)

class `rowingdata.rowingdata.``painsledDesktopParser`(sled_file='sled_test.csv')

  Parser for reading CSV files created by Painsled (desktop version)

  Use: data = rowingdata.painsledDesktopParser(“sled_data.csv”)

  > data.write_csv(“sled_data_out.csv”)

  `time_values`()

    Converts painsled style time stamps to Unix time stamps

  `write_csv`(writeFile='example.csv')

    Exports Painsled (desktop) data to the CSV format that I use in rowingdata

`rowingdata.rowingdata.``read_obj`(filename)

  Read an object (e.g. your rower, including passwords) from a file Usage: john = rowingdata.read_obj(“john.txt”)

class `rowingdata.rowingdata.``rower`(hrut2=142, hrut1=146, hrat=160, hrtr=167, hran=180, hrmax=192, c2username='', c2password='', weightcategory='hwt')

  This class contains all the personal data about the rower

  - HR threshold values
  - C2 logbook username and password
  - weight category
  `write`(fileName)

class `rowingdata.rowingdata.``rowingdata`(readFile='testdata.csv', rower=<rowingdata.rowingdata.rower instance at 0x065B9878>, rowtype='Indoor Rower')

  This is the main class. Read the data from the csv file and do all kinds of cool stuff with it.

  Usage: row = rowingdata.rowingdata(“testdata.csv”,rowtype = “Indoor Rower”)
    row.plotmeters_all()

  The default rower looks for a defaultrower.txt file. If it is not found, it reverts to some arbitrary rower.

  `allstats`(separator='|')

    Creates a nice text summary, both overall summary and a one line per interval summary

    Works for painsled (both iOS and desktop)

    Also copies the string to the clipboard (handy!)

  `getvalues`(keystring)

    Just a tool to get a column of the row data as a numpy array

    You can also just access row.df[keystring] to get a pandas Series

  `intervalstats`(separator='|')

    Used to create a nifty text summary, one row for each interval

    Also copies the string to the clipboard (handy!)

    Works for painsled (both iOS and desktop version) because they use the lapIdx column

  `plotmeters_erg`()

    Creates two images containing interesting plots

    x-axis is distance

    Used with painsled (erg) data

  `plotmeters_otw`()

    Creates two images containing interesting plots

    x-axis is distance

    Used with OTW data (no Power plot)

  `plottime_erg`()

    Creates two images containing interesting plots

    x-axis is time

    Used with painsled (erg) data

  `plottime_hr`()

    Creates a HR vs time plot

  `plottime_otw`()

    Creates two images containing interesting plots

    x-axis is time

    Used with OTW data (no Power plot)

  `summary`(separator='|')

    Creates a nifty text string that contains the key data for the row and copies it to the clipboard

  `uploadtoc2`(comment='uploaded by rowingdata tool\n')

    Upload your row to the Concept2 logbook

    Will ask for username and password if not known Will offer to store username and password locally for you. This is not mandatory

    This just fills the online logbook form. It may break if Concept2 changes their website. I am waiting for a Concept2 Logbook API

class `rowingdata.rowingdata.``summarydata`(readFile)

  This is used to create nice summary texts from CrewNerd’s summary CSV

  Usage: sumd = rowingdata.summarydata(“crewnerdsummary.CSV”)

  > sumd.allstats()

  > sumd.shortstats()

  `allstats`(separator='|')
  `shortstats`()

`rowingdata.rowingdata.``summarystring`(totaldist, totaltime, avgpace, avgspm, avghr, maxhr, avgdps, readFile='', separator='|')

  Used to create a nifty string summarizing your entire row

`rowingdata.rowingdata.``write_obj`(obj, filename)

  Save an object (e.g. your rower) to a file

## Module contents