table#
- class table[source]#
Bases:
object
this classe has been establish with pandas DataFrame
Methods
WPCA
from https://github.com/jakevdp/wpca/blob/master/WPCA-Example.ipynb enter which pca do yo want either 'pca', 'wpca' or 'empca' empca slower than wpca
fit_base
weights define as 1/sigma**2 self.table = MxT, base_vec = NxT, N the number of basis element
r_matrix
rms_w
- rtype:
List of members of table
- r_matrix(name=None, absolute=True, cmap='seismic', vmin=None, vmax=None, light_plot=False, angle=45, Plot=True, rm_diagonal=False, paper_plot=False, unit=1, deg_detrend=0, vec_x=None)[source]#
- WPCA(pca_type, weight=None, comp_max=None)[source]#
from https://github.com/jakevdp/wpca/blob/master/WPCA-Example.ipynb enter which pca do yo want either ‘pca’, ‘wpca’ or ‘empca’ empca slower than wpca
- Return type: