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:

None

List of members of table

__init__(array)[source]#
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]#
rms_w(weights, axis=1)[source]#
Return type:

None

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:

None

fit_base(base_vec, weight=None, num_sim=1)[source]#

weights define as 1/sigma**2 self.table = MxT, base_vec = NxT, N the number of basis element

Return type:

None