I specialize in CSV files that contain time-series data.
|Instance Variable||t||A 1-D Numpy vector containing the number of seconds elapsed from the first reading.|
|Instance Variable||X||A 2-D Numpy array with one first column for each CSV item after the first (time).|
|Instance Variable||weights||An optional 1-D array of weights, one for each row in X.|
|Method||setup||Calling this gets you a
|Method||setWeights||Override this in your sublcass to set my weights attribute to a 1-D Numpy array of weights, one for each CSV file row.|
Calling this gets you a
Deferred that fires when setup is
done and my t, X, and possibly my weights ivars are
Override this in your sublcass to set my weights attribute to a 1-D Numpy array of weights, one for each CSV file row.