scipy.odr.RealData¶

class
scipy.odr.
RealData
(x, y=None, sx=None, sy=None, covx=None, covy=None, fix=None, meta={})[source]¶ The data, with weightings as actual standard deviations and/or covariances.
Parameters:  x : array_like
Observed data for the independent variable of the regression
 y : array_like, optional
If arraylike, observed data for the dependent variable of the regression. A scalar input implies that the model to be used on the data is implicit.
 sx : array_like, optional
Standard deviations of x. sx are standard deviations of x and are converted to weights by dividing 1.0 by their squares.
 sy : array_like, optional
Standard deviations of y. sy are standard deviations of y and are converted to weights by dividing 1.0 by their squares.
 covx : array_like, optional
Covariance of x covx is an array of covariance matrices of x and are converted to weights by performing a matrix inversion on each observation’s covariance matrix.
 covy : array_like, optional
Covariance of y covy is an array of covariance matrices and are converted to weights by performing a matrix inversion on each observation’s covariance matrix.
 fix : array_like, optional
The argument and member fix is the same as Data.fix and ODR.ifixx: It is an array of integers with the same shape as x that determines which input observations are treated as fixed. One can use a sequence of length m (the dimensionality of the input observations) to fix some dimensions for all observations. A value of 0 fixes the observation, a value > 0 makes it free.
 meta : dict, optional
Freeform dictionary for metadata.
Notes
The weights wd and we are computed from provided values as follows:
sx and sy are converted to weights by dividing 1.0 by their squares. For example,
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. For example,
we[i] = numpy.linalg.inv(covy[i])
.These arguments follow the same structured argument conventions as wd and we only restricted by their natures: sx and sy can’t be rank3, 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.
Methods
set_meta
(**kwds)Update the metadata dictionary with the keywords and data provided by keywords.