{
    "info": {
        "author": "Sander Roosendaal",
        "author_email": "roosendaalsander@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Programming Language :: Python :: 3"
        ],
        "description": "**************\nRowingdata\n**************\n==============\nIntroduction\n==============\n\nThis is a solution for the self-tracking rowers.\n\nSome of us use Concept2 rowing machines. Some of us are On-The-Water \nrowers. All of us will use smartphone apps, smart watches, fitness (GPS)\nwatches, etc. to track our activities.\n\nMost of them will cross-train. Bike. Run. Skate.\n\nThat means, the Concept2 logbook is not a sufficient training logbook for us.\n\nAt the same time, the Concept2 logbook is used in rankings, for challenges,\nand more. Many of us will want to log all our rowing on the Concept2 logbook.\n\nSo there are a couple of challenges here:\n\n* How do I get my erg rows on Strava/SportTracks/Garmin Connect?\n\n\t* Use an ANT+ device, like explained here: https://dr3do.wordpress.com/2015/07/09/hurray/\n\n\t* Import from RowPro to SportTracks\n\n\t* 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.\n\n* How do I get all my rows (including OTW) into the Concept2 logbook \n\n\t* For On-Water and Erg: Add them manually\n\n\t* For erg: Upload from ErgData, RowPro, Concept2 utility \n\nThis project aims at giving you ways to:\n\n* Upload fitness data captured in TCX format to the Concept2 logbook (implemented)\n\n\t* 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.\n\n* Get erg data captured with apps that have no \"upload to Concept2\" functionality and upload them to the Concept2 logbook (implemented)\n\n\t* For example, painsled\n\n* Get erg data captured with apps that have no TCX export functionality and convert hem to TCX (implemented)\n\n\t* ErgData - downloaded to CSV, converted to TCX\n\n\t* RowPro data - exported to CSV, converted to TCX. \n\n* 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:\n\n\t* Color HR band charts or Pie Charts (implemented)\n\n\t* Plot drive length, drive time, and other erg related parameters as a function of time or distance (implemented)\n\n\t* Create histograms (Do-it-yourself). \n\n\t* And much more (do-it-yourself). You've got the entire Python matplotlib at your disposal. Goodbye excel!\n\nAs soon as Crewnerd or Speedcoach can upload to C2 natively, or a web\nsynchronization can be set up between the C2 logbook and popular fitness \ntracking sites, my project will lose much of its significance. But that's OK. \n\nWell, at least the colorful plots remain. \n\n===============\nCredits\n===============\n\nThe project is based on python plotting code by \nGreg Smith (https://quantifiedrowing.wordpress.com/) \nand inspired by the RowPro Dan Burpee spreadsheet \n(http://www.sub7irc.com/RP_Split_Template.zip).\n\n.. image:: C:\\python\\rowingdata\\screenshots\\image001.png\n\n\n===============\nTo install \n===============\n\n::\n\n\t$ easy_install rowingdata\n\nOr ::\n\n\t$ pip install rowingdata\n\n\nTo upgrade: ::\n\n$ pip install --upgrade rowingdata\n\nor ::\n\n$ easy_install --upgrade rowingdata\n\nNumpy, SciPy and matplotlib are needed. On Linux systems, they should be installed automatically through the dependencies. \n\nOn Windows, there may be installation issues. \n\nA workaround is to install Anaconda, as described here: https://www.scipy.org/install.html\n\nAnother option is to use official 32-bit installers:\n\n* http://sourceforge.net/projects/numpy/files/\n* http://sourceforge.net/projects/scipy/files/\n* http://sourceforge.net/projects/matplotlib/files/matplotlib/\n\nOr you can fetch the unofficial but recommended Windows releases from\n\n* http://www.lfd.uci.edu/~gohlke/pythonlibs/ (get the MKL builds for NumPy)\t\n\n======================\nCommand Line Tools\n======================\n\nBeta. Use with caution.\n\nThe easiest way to use rowingdata is from the command line. \n\nFirst, create a rower data file (if you don't have one yet). Just run the \nfollowing command and answer a few questions about yourself. If you don't \nknow what heart rate bands are, check here http://www.freespiritsrowing.com/content/utilities/hr-bands/ : ::\n\n\t$ roweredit yourfilename.txt\n\nYou can omit the file name. This will create a file defaultrower.txt. \nYou can always run the same command to change parameters (for example \nif you lost or gained weight, change the user name or password, etc.\n\n.. image:: C:\\python\\rowingdata\\screenshots\\editrower.JPG\n\nNow you need the data files for your row. (The install comes with a few test \nfiles.) Get a TCX file (and a CSV summary file) from CrewNerd. TCX files from \nother tools should also work (not tested), as long as the TCX is valid.\n\nOr get a CSV export from painsled. \n\n\nTCX files\n-----------\n\nGeneric TCX\n....................\n\nIf you have a generic TCX file (from a SpeedCoach, from a Garmin), the \nfollowing will create plots and spit out some summary text ::\n\n\t$ tcxplot tcxfile.tcx yourrower.txt\n\n.. image:: C:\\python\\rowingdata\\screenshots\\greghoc.png\n\nIf you prefer a time based plot: ::\n\n\t$ tcxplottime tcxfile.tcx yourrower.txt\n\nSome TCX files do not have GPS position data. For example SpeedCoach with impeller. \nIn that case: ::\n\n\t$ tcxplot_nogeo tcxfile.tcx yourrower.txt\n\t$ tcxplottime_nogeo tcxfile.tcx yourrower.txt\n\nThe following will upload your row to the Concept2 logbook, and create a \nfile crewnerddata.tcx_o.csv that looks like a painsled csv, for future use ::\n\n\t$ tcxtoc2 tcxfile.tcx yourrower.txt\n\nAgain, yourrower.txt is optional.\n\n\n.. image:: C:\\python\\rowingdata\\screenshots\\otwscreenshot.JPG\n\nHere is the row on the Concept2 logbook:\n\n.. image:: C:\\python\\rowingdata\\screenshots\\otwlogbook.JPG\n\n\n\nCrewNerd with summary\n.......................\n\nHaving a crewnerddata.csv (summary csv) and a crewnerddata.tcx, the following \nwill create plots and spit out some summary text ::\n\n\t$ crewnerdplot crewnerddata yourrower.txt\n\nThe yourrower.txt argument is the file where you keep your rower data. \nThis is optional. If you don't provide it, the tool will look for \ndefaultrower.txt. If it doesn't find that, it will use some default values. \n\nThe script will also spit out some statistics from the summary csv.\n\n.. image:: C:\\python\\rowingdata\\screenshots\\woensdag.png\n\n\nIf you prefer a time based plot: ::\n\n\t$ crewnerdplottime crewnerddata yourrower.txt\n\n\n\nPainsled\n------------\n\nHaving painsled data in testdata.csv, the following will create plots and\nspit out some summary text ::\n\n\t$ painsledplot testdata.csv yourrower.txt\n\nor ::\n\n\t$ painsledplottime testdata.csv yourrower.txt\n\nThe yourrower.txt argument is the file where you keep your rower data. \nThis is optional. If you don't provide it, the tool will look for \ndefaultrower.txt. If it doesn't find that, it will use some default values. \n\n.. image:: C:\\python\\rowingdata\\screenshots\\2x20min.png\n\n\n\nThe following will upload your row to the Concept2 logbook: ::\n\n\t$ painsledtoc2 testdata.csv yourrower.txt\n\nAgain, yourrower.txt is optional.\n\n.. image:: C:\\python\\rowingdata\\screenshots\\screenshot.JPG\n\nHere is the row on the Concept2 logbook\n\n.. image:: C:\\python\\rowingdata\\screenshots\\screenshotlogbook.JPG\n\n\nSpeedCoach GPS\n---------------------\n\nHaving SpeedCoach GPS data in testdata.csv, the following will create plots and\nspit out some summary text ::\n\n\t$ speedcoachplot testdata.csv yourrower.txt\n\nor ::\n\n\t$ speedcoachplottime testdata.csv yourrower.txt\n\nThe yourrower.txt argument is the file where you keep your rower data. \nThis is optional. If you don't provide it, the tool will look for \ndefaultrower.txt. If it doesn't find that, it will use some default values. \n\nThe following will upload your row to the Concept2 logbook: ::\n\n\t$ speedcoachtoc2 testdata.csv yourrower.txt '2015-11-05T13:15:30-05:00'\n\nAgain, yourrower.txt and date string are optional. \nBecause the SpeedCoach CSV file content doesn't have the row date, \nyou may provide a date string. The tool should be quite forgiving regarding \nthe exact format in which you write your date/time string. However, if\nyou input something ambiguous (time zone), the tool will guess \nand your row may end up on the wrong date. \nIf nothing is provided, today's date will be taken.\n\nRowPro\n---------------------\n\nHaving RowPro exported data in testdata.csv, \nthe following will create plots and\nspit out some summary text ::\n\n\t$ rowproplot testdata.csv yourrower.txt\n\nor ::\n\n\t$ rowproplottime testdata.csv yourrower.txt\n\nThe yourrower.txt argument is the file where you keep your rower data. \nThis is optional. If you don't provide it, the tool will look for \ndefaultrower.txt. If it doesn't find that, it will use some default values. \n\nFor RowPro CSV files, upload to C2 logbook is not available on the command \nline. You can upload to C2 directly from the RowPro application.\n\nErgData\n---------------------\n\nIf you use ErgData, you can download a CSV file from your Concept2 log. \nHere is how you use those data in this tool: ::\n\n\t$ ergdataplot testdata.csv yourrower.txt\n\nor ::\n\n\t$ ergdataplottime testdata.csv yourrower.txt\n\nThe yourrower.txt argument is the file where you keep your rower data. \nThis is optional. If you don't provide it, the tool will look for \ndefaultrower.txt. If it doesn't find that, it will use some default values. \n\nAs your data are already on the Concept2 logbook, it doesn't make sense to \nhave a script to upload them once more.\n\nHowever, you may appreciate creating a TCX file for uploading to SportTracks.mobi or Strava: ::\n\n\t$ ergdatatotcx testdata.csv\n\nThis will create a file testdata.csv_o.tcx which you can upload. I have tested \nthis file on Strava and SportTracks with success. Somehow, even though the \nresulting file validates against the TCX Schema, I wasn't able to upload the file to Garmin Connect, because Garmin Connect rejects TCX files from non-Garmin devices.\n\nErgStick\n---------------------\n\nIf you use ErgStick, you can download a CSV file from your Concept2 log. \nHere is how you use those data in this tool: ::\n\n\t$ ergstickplot testdata.csv yourrower.txt\n\nor ::\n\n\t$ ergstickplottime testdata.csv yourrower.txt\n\nThe yourrower.txt argument is the file where you keep your rower data. \nThis is optional. If you don't provide it, the tool will look for \ndefaultrower.txt. If it doesn't find that, it will use some default values. \n\nAs your data are already on the Concept2 logbook, it doesn't make sense to \nhave a script to upload them once more.\n\nHowever, you may appreciate creating a TCX file for uploading to SportTracks.mobi or Strava: ::\n\n\t$ ergsticktotcx testdata.csv\n\nThis will create a file testdata.csv_o.tcx which you can upload. I have tested \nthis file on Strava and SportTracks with success. Somehow, even though the \nresulting file validates against the TCX Schema, I wasn't able to upload the file to Garmin Connect.\n\nCopying to clipboard\n---------------------\n\nFrom the command-line, this only works on windows: ::\n\n\t$ copystats testdata.csv yourrower.txt\n\n\n\n==============================\nDirectly in Python\n==============================\n\nBeta. Use with caution. \n\n\nImport\n---------\n\nImport the package\n\n>>> import rowingdata\n\nYour personal data\n-----------------------\n\nThe old and difficult way\n.............................\n\nIf you're not me (or have identical heart rate thresholds), \nyou will have to change the default values for the rower. For example:\n\n>>> john = rowingdata.rower(hrut2=100,hrut1=120,hrat=140,hrtr=150,hran=170,hrmax=180,c2username=\"johntherower\",c2password=\"caughtacrab\")\n\nYou can store this locally like this\n\n>>> john.write(\"johnsdata.txt\")\n\nThen you can load this like this\n\n>>> john = rowingdata.read_obj(\"johnsdata.txt\")\n\nThe new and easy way\n.............................\n\nSince version 0.65 there are easier ways.\n\nCreate a new rower through some interactive Q&A:\n\n>>> rowingdata.roweredit(\"johnsdata.txt\")\n\nIf you omit the file name, it will default to \"defaultrower.txt\"\n\n>>> john = rowingdata.getrower(\"johnsdata.txt\")\n\nIf you want to change John's data, again just type:\n\n>>> rowingdata.roweredit(\"johnsdata.txt\")\n\nPainsled iOS\n----------------\n\nTo use with Painsled iOS CSV data, simply do\n\n>>> row = rowingdata.rowingdata(csvfile=\"testdata.csv\",rower=myrower)\n>>> row.plotmeters_erg()\n>>> print row.allstats()\n\nThe rowingdata object is the basic object containing your rowing data.\n\nRowPro\n-----------------\n\nTo use with RowPro CSV data, simply do\n\n>>> rp = rowingdata.RowProParser(csvfile=\"RP_testdata.csv\")\n>>> row = rowingdata.rowingdata(df=rp.df)\n>>> row.plotmeters_erg()\n>>> row.plottime_erg()\n>>> print row.summary()\n\nThe rp object has a dataframe \"df\" that you can pass to rowingdata.rowingdata\nusing the df keyword. Thus, you avoid storing intermediate results.\n\nAlternatively, you can use:\n\n>>> rp = rowingdata.RowProParser(csvfile=\"RP_testdata.csv\")\n>>> rp.write_csv(\"example_data.csv\")\n>>> row = rowingdata.rowingdata(csvfile=\"example_data.csv\")\n>>> row.plotmeters_erg()\n>>> row.plottime_erg()\n>>> print row.summary()\n\nSpeedCoach\n-----------------\n\nTo use with SpeedCoach CSV data, simply do\n\n>>> sc = rowingdata.speedcoachParser(csvfile=\"RP_testdata.csv\")\n>>> row = rowingdata.rowingdata(df=sc.df)\n>>> row.plotmeters_erg()\n>>> row.plottime_erg()\n>>> print row.summary()\n\nCrewNerd (and other TCX)\n---------------------------\n\nTo use with CrewNerd TCX data, simply do\n\n>>> tcx = rowingdata.TCXParser(csvfile=\"2016-03-25-0758.tcx\")\n>>> tcx.write_csv(\"example_data.csv\")\n>>> row = rowingdata.rowingdata(csvfile=open(\"example_data.csv\"),rower=myrower)\n>>> row.plotmeters_otw()\n>>> row.plottime_otw()\n>>> print row.summary()\n\nOther useful stuff\n----------------------------\n\nTo get any data column as a numpy array, use (for example for HR data - \nsee list below for other accessible data fields).\n\n>>> row.getvalues[' HRCur (bpm)']\n\nOf course you have access to the entire data frame as well:\n\n>>> df = row.df\n>>> df.describe\n\nTo create the colorful plots,\nassuming you have a summary file from CrewNerd called 2016-03-25-0758.CSV and \na TCX file called 2016-03-25-0758.TCX\n\n>>> rowingdata.dorowall(\"2016-03-25-0758\")\n\nPlots and statistics\n\n>>> row.uploadtoc2()\n\nThis will upload your row to Concept2 logbook. It just simply fill the online \nform for you. So nothing more than total distance and duration, date, weight \ncategory and row type.\n\nExport or re-export to a tcx file is done with \n\n>>> row.exporttotcx(\"test.tcx\")\n\nWith the package at your full disposal, the sky is the limit. You can do any \nplot you like or do other statistics, like calculate your average stroke length\nincluding error margin, etc.\n\nYou can add two rowingdata objects and obtain a new one:\n\n>>> row = row1+row2\n\nThis is an experimental feature and it may lead to unexpected results.\nThe addition will merge the two dataframes and sort them by time stamp,\nremoving duplicate time stamps. \n\n==============\nData Fields\n==============\n\nThe available data fields are\n\n* 'Timestamp (sec)'\n* ' Horizontal (meters)'\n* ' Cadence (stokes/min'\n* ' HRCur (bpm)'\n* ' Stroke500mPace (sec/500m)'\n* ' Power (watts)'\n* ' DriveLength (meters)'\n* ' StrokeDistance (meters)'\n* ' DriveTime (ms)'\n* ' StrokeRecoveryTime (ms)'\n* ' AverageDriveForce (lbs)'\n* ' PeakDriveForce (lbs)'\n* 'cum_dist'\n\nIf imported from TCX, Rowpro, or other tools, some data fields may not contain\nuseful information. \n\n=================\nCSV File Standard\n=================\n\nThe basic rowingdata class reads CSV files that adher to the standard\ndescribed here. Any parser implementation should adher to the minimum\nstandard as described here.\n\nPlease send to me any CSV file that adhers to the standard described here\nbut does not parse well in the \"rowingdata\" module. I will update the module\nand add the file to standard testing. \n\nField Names (Columns)\n----------------------\n\nThe standard field names are:\n\n* 'Timestamp (sec)'\n* ' Horizontal (meters)'\n* ' Cadence (stokes/min'\n* ' HRCur (bpm)'\n* ' Stroke500mPace (sec/500m)'\n* ' Power (watts)'\n* ' DriveLength (meters)'\n* ' StrokeDistance (meters)'\n* ' DriveTime (ms)'\n* ' StrokeRecoveryTime (ms)'\n* ' AverageDriveForce (lbs)'\n* ' PeakDriveForce (lbs)'\n* ' lapIdx'\n* ' ElapsedTime (sec)'\n\nThe CSV file adhers to the US conventions, with fields\nseparated by a comma (',')\nand using the dot '.' as the decimal symbol. \n\nThe field names are on the first line. There are no header or footer lines\nin the CSV file, to simplify data ingestion.\n\nThe field names must match exactly, including use of capitals and\nleading spaces. Please note the space at the beginning\nof some of the field names. If one of the \"standard\" field names is\nmissing, the parser shall create it and set the values for this field to 0 (zero), except for the 'TimeStamp (sec)' field which is mandatory.\n\nThe parser shall not depend on the order of the field names (columns).\nThe parser may reorder columns as well as rows, for example reordering\nby the time stamp.\n\n\nData Fields (Rows)\n---------------------\n\nIt is recommended that there is one data record per one rowing stroke.\n\nSometimes this is difficult to implement. In that case, the following\nformats are happily parsed as well:\n\n* One record per N meters traveled\n* One record per N seconds\n\nFor calculating statistics, it is important to be consistent. Rowers may\nuse different devices to capture data in different situations.\nInconsistencies between the devices may lead to inconsistencies in aggregrate data, such as (for example) an app that calculates the number of strokes\ntaken during a season.\nAs a \"stroke\" is a\nunit that is natural for rowers, we recommend to have one data field\nper stroke.\n\nUnless otherwise stated below, all numerical types shall be parsed by\nthe parser, so it is up to the user to implement single, double, decimal\nor integer, and common (en-US) numerical notation shall be parsed well, e.g.\n\n* 234 (integer)\n* 22.1 (float)\n* 6.3e4 (scientific)\n\nPercentages are not guaranteed to be parsed well. Use fractions, e.g.:\n\n* 0.67 (good)\n* 67% (not good)\n  \nMissing Data\n-------------\n\nIf a measuring device does not obtain a value during a stroke, this shall\nbe indicated in the file. Avoid using dummy values. It will be up to the\nparser and further data processing to \"clean\" the data.\n\nRecommended values are 'nan' (not a number), or leaving the field empty.\n\nPlease not that 'nan' replacing a missing time stamp may lead to\nunpredictable results. \n\nTimeStamp (sec)\n---------------\n\nField name: 'TimeStamp (sec)' (no leading space).\n\nUnit: seconds\n\nThis shall be a Unix time stamp (seconds since January 1, 1970, midnight UTC/GMT) in the UTC time zone.\n\nFor human readability, it is advised to add a ISO8601 formatted time stamp\nas a separate column called ' ISO8601'. \n\nThe value reported shall be the time at the end of the stroke cycle (i.e.\nthe start of the next stroke), or\nat the crossing of the finish line (or lap end distance), whichever\nis first. If this\nis not adhered to, lap times may be inaccurate.\n\nThe precision may be up to microseconds, but as a minimum the parser shall\ntake into account tenths of seconds.\n\nIt is strongly advised to have no \"missing data\" in the time stamp field.\n\nDistance (m)\n------------\n\nField name: ' Horizontal (meters)'\n\nUnit: meters\n\nThis is the distance covered at the end of the stroke since the beginning\nof the workout or lap.\n\nFor best results, it is recommended to report the cumulative distance since\nthe beginning of the workout, but it is allowed to reset the distance at\nthe beginning of each lap.\n\nCadence (SPM)\n--------------\n\nField name: ' Cadence (stokes/min)'\n\nUnit: strokes/min\n\nPlease note the typo in the field name. It is recommended that the parser\nchecks for \"strokes\" if \"stokes\" is not found, but this is not guaranteed.\n\nHeart Rate\n-----------\n\nField name: ' HRCur (bpm)'\n\nUnit: beats per minute\n\nHeart Rate in beats per minute\n\nPace\n------\n\nField name: ' Stroke500mPace (sec/500m)'\n\nUnit: seconds\n\nPace in seconds per 500m. Avoid negative values.\n\nWhen the rower stops, this value goes to infinity. Use empty field, 'nan',\n'inf' or equivalent. Avoid inserting 0, because this will mess\nup speed calculations.\n\nIf this field is missing, there must be a possibility to calculate it\nfrom distance and time fields. If distance and pace fields are missing,\nthe parser may throw an error.\n\nPower (watts)\n--------------\n\nField name: ' Power (watts)'\n\nUnit: Watt\n\nPower in watts. For erg it should be the power reported by the monitor.\nFor OTW rowing, it is recommended that this is the total mechanical\npower exerted by the rower, i.e. power used for propulsion, plus waste\n(puddles, drag), as opposed to the metabolistic power. \n\nDrive Length\n-------------\n\nField name: ' DriveLength (meters)'\n\nUnit: meter\n\nThe distance traveled by the handle along the longitudal\naxis of the boat or erg.\n\nFor OTW rowing, where the oar or scull rotates around the pin, this\nis not equal to the length trajectory traveled by the hands. It\nis the projection of that trajectory on the longitudal axis. \n\nStroke Distance \n------------------------\n\nField name: ' StrokeDistance (meters)'\n\nUnit: meter\n\nThe distance traveled during the stroke cycle. \n\nDrive Time\n-------------\n\nField name: ' DriveTime (ms)'\n\nUnit: ms\n\nThe duration of the drive part (from catch to finish) of the stroke. For\nOTW rowing it is recommended to measure this as\nthe time it takes from the minimum (catch) oar angle to the maximum (finish)\nor angle,\nas opposed to \"blade in\" to \"blade out\" times. \n\nRecovery Time\n---------------\n\nField name: ' StrokeRecoveryTime (ms)'\n\nUnit: ms\n\nThe duration of the recovery part. See Drive Time for the definition. Drive Time plus Recovery Time should equal the duration of the entire stroke cycle.\n\nAverage Drive Force\n--------------------\n\nField name: ' AverageDriveForce (lbs)' / ' AverageDriveForce (N)'\n\nUnit: lbs - or N, see below\n\nCurrently implemented is only the field name and value in lbs. In the future,\nwe will implement ' AverageDriveForce (N)' so we can report in SI units.\n\nThis should be the part of the handle force that does actual work.\n\nFor dynamic ergs and OTW rowing this is not sufficient to describe the\ncomplete stroke dynamics, so additional fields can be defined, for example\n' StretcherForce'.\n\nFor OTW rowing there are various measurement systems. Some measure at\nor near the handle. Some measure at the pin.\n\nI recommend to either\n\n* Recalculate to handle force if possible, adding a separate field with the\n  real measured value and a descriptive field name\n\n* Report the real measured value in this field as well as in a separate\n  field with a descriptive field name\n\nThe average should be an average over the working distance of the force,\nas opposed to an average over time or oar angles.\n\nPeak Drive Force\n------------------\n\nField name: ' PeakDriveForce (lbs)' or ' PeakDriveForce (N)'\n\nUnit: lbs (currently) or N (supported in the future)\n\nSee discusison about measuring forces under Average Drive Force.\n\nLap Identifier\n-------------------\n\nField name: ' lapIdx'\n\nUnit: N/A\n\nA unique identifier identifying the lap. It is recommended to use\ninteger numbers, starting at 0, and increasing in time, but the following\nshould also parse well:\n\n* 'aap', 'noot', 'mies', 'jet'\n* 'a', 'b', 'c'\n* 'first', 'second', 'third'\n* 'clubtobridge', 'straightkm', etc ..\n\nAs long as each identifier is unique. \n\nElapsed Time \n--------------------\n\nField name: ' ElapsedTime (sec)'\n\nUnit: Seconds\n\nElapsed time since start of workout (or interval). The value may\nreset at the start of a new lap. In that case, it should be consistent\nwith the lap identifier.\n\nMeasured at the end of the stroke cycle or when crossing the finish or lap\nline, whatever comes first. The first reported time in a new lap or workout\nshould be at the end of the first stroke cycle.\n\nSeconds in decimal notation. So '32425.2' is good. Other time notations,\ne.g. '34:45.2' may not be parsed.\n\nWorkout State\n--------------\n\nField name: ' WorkoutState'\n\nA number indicating the workout state, following the Concept2 erg convention:\n\n* Work strokes: 1, 4, 5, 6, 7, 8, 9\n* Rest strokes: 3\n* Transitions: 0,2,10,11,12,13\n\nThe transitions (\"waiting for interval start\") are not supported, so a\nparser may simply consider all strokes with a workout state that is not\nequal to 3 as work strokes.\n\nIt is not mandatory to record rest (paddle) strokes, but it is recommended.\n\nIf this field is not present, the parser shall assume that all strokes\nare work strokes.\n\nCoordinates\n------------\n\nField names: ' latitude', ' longitude'\n\nUnits: degrees, in decimal notation\n\nFor example:\n\n* 52.059876, 5.111655 (good)\n* 52 03'35.5\"N, 5 06'42.0\"E (bad)\n\nWind speed and direction\n--------------------------\n\nField names: 'vwind' and 'winddirection'\n\nUnits: m/s and degrees (0 = North, 90 = East)\n\nBoat bearing\n-------------\n\nField name: 'bearing'\n\nUnit: degrees\n\nBoat bearing.\n\n================\nRelease Notes:\n================\n\n0.97.x\n------\n\n- Improved time zone awareness\n\n0.96.x\n------\n\n- Improved Interval String Parser\n\n0.95.x\n------\n\n- Bug fixes on TCX export\n- Added addition method to rowingdata object\n- ErgData parser: Offset ElapsedTime by the value of the first stroke\n- BoatCoach parser: Calculate RecoveryTime\n- Added support for NK SpeedCoach set to impeller\n\n0.94.x\n------\n\n- Recognizes C2 logbook summary CSV (which is not supported)\n- Added RowPerfect3 Parser\n\n0.93.x\n------\n- Added support for Empower Oarlock parameters from the CSV file export from SpeedCoach GPS 2 with Data Pack (LiNK v1.27 and higher)\n- Enabled gzip (through gzip=True in write_csv)\n- Revamped CSV parsers. \n\n0.92.x\n------\n\n- Added Power Zones\n- Improved Pie Charts\n- Added drag info to some charts\n- Bug fix in summary statistics\n- Updated ErgDataParser because ErgData corrected a typo in their column header\n- Added power info to summary and interval summaries\n- Added BoatCoachParser\n\n0.90.x\n------\n\n- Improved handling of RowPro files. Taking the split/interval info from the footer and putting it in the resulting data frame.\n- Added functionality to update the intervals/splits\n- Some fiddling with the interval statistics calculations\n\n0.89.x\n-------\n\n- Some internal optimizations to reduce memory consumption\n- A simple EU format \"1.000,0\" instead of \"1 000.0\" recognition added to RowProParser\n- Added a MysteryParser for a CSV file type that is clearly rowing data, but I don't know the origin\n\n0.86.x\n-------\n\n- Added support for SpeedCoach GPS 2 CSV file\n- Added support for FIT files\n- Improved the CrewNerd summary (now calculates time weighted averages)\n\n0.85.x\n-------\n\n- Changes to support rowsandall.com rowing physics calculations\n- TCX Export now adds Power if power calculations have been done\n\n0.84.x\n-------\n\n- Added support for wind and stream updates on rowsandall.com\n- Other changes to support rowsandall.com rowing physics calculations\n\n\n0.81.x\n------\n\n- added some plotting for rowsandall.com\n- a workaround for the ugly HR plateaux in plots from CrewNerd\n\n0.80.x\n-------\n\n- fixed bug in summary strings for CrewNerd plots\n- fixed bug in parser of ErgData files. Interval workouts should now work well.\n\n0.79.x\n-------\n\n- rowingdata now uses a file object instead of a file name. Command-line tools updated.\n- added code to get image objects (for use on web app)\n- changing RowPro to cumulativetime\n\n\n0.78.x\n-------\n\n- Added some experimental code for doing wind corrected pace\n- Improved TCX processing (to minimize impact of some CrewNerd glitches)\n\n0.77.x\n-------\n\n- Added ErgStickParser\n- Added write_csv(writeFile) to rowingdata class \n\n0.76.x\n-------\n\n- Added export to TCX file\n- Corrected some bugs in dynamic y axis algo\n- Corrected bug in Meter based OTW rowing plots (missing AN HR data in bar chart)\n- Correct bug in CrewNerd summary stats algorithm. \n- Pie chart improved: Now matches the HR bar plot (difference between < and <=)\n- Pie chart - strange values. 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Doesn't make a big difference in the data.\n- In TCXParser, moved some of the heavy data lifting to __init__ (from write_csv)\n\n0.74.x\n--------\n\n- Added command-line scripts to plot data from RowPro\n- Added Pie Chart as extra plot to time based plot\n\n\n0.73.x\n--------\n\n- Added parser for speedcoach CSV files\n- Fixed bugs in RowProParser\n\n\n0.72.x\n--------\n\n- added command line tools for generic TCX files (should work with RIM)\n\n0.71.x\n--------\n\n- painsledDesktopParser now removes the \"00 waiting to row\": Statistics for Painsled Desktop work\n- Command line scripts should now install well \n- Moved test data to testdata folder\n- replaced * operator for the bool dtype with &\n- tested on Linux (Ubuntu), Mac OS X (thx Greg), Windows 7 & Windows 10\n- fixed bug related to clipboard copying on Mac and Linux. 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