The RealData class stores the weightings as actual standard deviations and/or covariances.
The weights needed for ODRPACK are generated on-the-fly with __getattr__ trickery.
sx and sy are standard deviations of x and y and are converted to weights by dividing 1.0 by their squares.
E.g. wd = 1./numpy.power(sx, 2)
covx and covy are arrays of covariance matrices and are converted to weights by performing a matrix inversion on each observation’s covariance matrix.
- E.g. we[i] = numpy.linalg.inv(covy[i]) # i in range(len(covy))
- # if covy.shape == (n,q,q)
These arguments follow the same structured argument conventions as wd and we only restricted by their natures: sx and sy can’t be rank-3, but covx and covy can be.
Only set either sx or covx (not both). Setting both will raise an exception. Same with sy and covy.
|set_meta(**kwds)||Update the metadata dictionary with the keywords and data provided by keywords.|