1. Input/Output Cycling FilesΒΆ
The io
allows to manipulate cycling files acquired with different
devices. io.bikeread
is the centralized interface to open any file
format:
>>> from sksports.datasets import load_fit
>>> from sksports.io import bikeread
>>> ride = bikeread(load_fit()[0])
>>> print(ride.head())
elevation cadence distance heart-rate power speed
2014-05-07 12:26:22 64.8 45.0 3.05 NaN 256.0 3.036
2014-05-07 12:26:23 64.8 42.0 6.09 NaN 185.0 3.053
2014-05-07 12:26:24 64.8 44.0 9.09 NaN 343.0 3.004
2014-05-07 12:26:25 64.8 45.0 11.94 NaN 344.0 2.846
2014-05-07 12:26:26 65.8 48.0 15.03 NaN 389.0 3.088
io.bikeread
returns a pandas DataFrame with the index containing the
date and time of the activity while the columns contain the following data:
- elevation;
- cadence;
- distance;
- heart-rate;
- power;
- speed.
If some of those data are not available, the corresponding column will contain
NaN
values by default. drop_nan
argument allows to drop columns or rows
containing missing data:
>>> ride = bikeread(load_fit()[0], drop_nan='columns')
>>> print(ride.head())
elevation cadence distance power speed
2014-05-07 12:26:22 64.8 45.0 3.05 256.0 3.036
2014-05-07 12:26:23 64.8 42.0 6.09 185.0 3.053
2014-05-07 12:26:24 64.8 44.0 9.09 343.0 3.004
2014-05-07 12:26:25 64.8 45.0 11.94 344.0 2.846
2014-05-07 12:26:26 65.8 48.0 15.03 389.0 3.088