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	parseValues	Undocumented
Method	setup	Calling this gets you a `Deferred` that fires when setup is done and my t, X, and possibly my weights ivars are ready.
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.

Inherited from Picklable (via Data):

Method	__getstate__	Undocumented
Method	__setstate__	Undocumented

Inherited from Picklable (via Data):

Method	__getstate__	Undocumented
Method	__setstate__	Undocumented

t =

A 1-D Numpy vector containing the number of seconds elapsed from the first reading.

X =

A 2-D Numpy array with one first column for each CSV item after the first (time).

weights =

An optional 1-D array of weights, one for each row in X.

def parseValues(self, result):

Undocumented

def setup(self):

Calling this gets you a Deferred that fires when setup is done and my t, X, and possibly my weights ivars are ready.

def setWeights(self):

Override this in your sublcass to set my weights attribute to a 1-D Numpy array of weights, one for each CSV file row.

API Documentation for ade, generated by pydoctor at 2022-11-17 13:13:22.

ade.examples.data.TimeData(Data) class documentation

`ade.examples.data.TimeData(Data)` class documentation