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
- xarray-like
A 2-D array with \(N\) rows and \(M\) columns.
- standardize
bool
, optional If 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.harrisgeospatial.com/docs/pcomp.html
Attributes Summary
(
ndarray
) The principal components.(
ndarray
) The derived variables.(
ndarray
) The eigenvalues.(
ndarray
) The variances of each derived variable.Attributes Documentation
- coefficients¶
(
ndarray
) The principal components. These are the coefficients ofderived
. Basically, they are a re-scaling of the eigenvectors.
- derived¶
(
ndarray
) The derived variables.
- eigenvalues¶
(
ndarray
) The eigenvalues. There is one eigenvalue for each principal component.
- variance¶
(
ndarray
) The variances of each derived variable.