More steady state stuff and more python

Today was steady state day, and even though it was the first day of this year when we could walk outside without a coat, I had to row on the erg. It was 19 degrees C, but I had too much work to do.

I sat down for a 3x20min. Did a short warming up. Then on to the main event. Tried to hold 200W, but gave up in the second interval. Today it felt too hard. Probably lack of sleep. I didn’t want to do the third interval. So I did something else instead. Rowed a 3k, lowering the pace every 500m.

2x20min.png

The 2x20min


Workout Summary - 2x20min.csv_o.csv
--|Total|-Total-|--Avg--|Avg-|-Avg-|-Max-|-Avg
--|Dist-|-Time--|-Pace--|SPM-|-HR--|-HR--|-DPS
--|09832|41:44.0|02:07.3|21.3|158.2|171.0|11.1

3km_cd.png

The 3k cooling down – heart rate is too high


Workout Summary - 3km_cd.csv_o.csv
--|Total|-Total-|--Avg--|Avg-|-Avg-|-Max-|-Avg
--|Dist-|-Time--|-Pace--|SPM-|-HR--|-HR--|-DPS
--|03000|14:04.0|02:20.7|18.1|162.4|173.0|11.8

I used the Desktop version of painsled. Notice that my python code includes the time the PM3 “waits” before you start the row. I need to remove that part of the data in a next release.

On the python front, I have added an upload to the Concept2 logbook. I hope the folks at Concept2 don’t watch their logbook for suspicious behaviour, because I did a lot of uploading and subsequent deleting of rows today. :-/

On the other hand, I have new sculls ordered and I am getting a PM5 …

Here’s a screenshot from the tool:

screenshot.JPG

And here is the result in the logbook:

screenshotlogbook.JPG

I guess I’ll be using the Concept2 Utility for erg uploads, but it’s a nice functionality for when I forget to do that and am away from my erg. Also, I can start uploading OTW rows now as well. I never did that because it’s a hassle. Now I can do it easily:

otwscreenshot.JPG

And get this:

otwlogbook.JPG

In the process, I also learned how to go from a file with some python to a full-blown package that other people can install, including easily created documentation.

So https://pypi.python.org/pypi/rowingdata

A small step for mankind, but a big step for me.

 

The short URL of the present article is: http://wp.me/p7rJSt-1c2