pcomp¶
-
class
pydl.
pcomp
(x, standardize=False, covariance=False)[source]¶ Bases:
object
Replicates the IDL
PCOMP()
function.The attributes of this class are all read-only properties, implemented with
lazyproperty
.Parameters: x : array-like
A 2-D array with \(N\) rows and \(M\) columns.
standardize :
bool
, optionalIf set to
True
, the input data will have its mean subtracted off and will be scaled to unit variance.covariance :
bool
, optional.If set to
True
, the covariance matrix of the data will be used for the computation. Otherwise the correlation matrix will be used.References
http://www.exelisvis.com/docs/PCOMP.html
Attributes Summary
coefficients
( ndarray
) The principal components.derived
( ndarray
) The derived variables.eigenvalues
( ndarray
) The eigenvalues.variance
( ndarray
) The variances of each derived variable.Attributes Documentation