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.