pydiodon.plot_var

pydiodon.plot_var(V, varnames=None, axis_1=1, axis_2=2, title=None, x11=True, plotfile=None, fmt='png')

Plots the correlations between the variables

Parameters

Va \(p \times p\) 2D numpy array

column k of V is the `k-`th principal axis

varnamesa list of strings

the names of the variables (the columns of A on which the PCA has been done)

default value is None (no names are displayed)

axis_1an integer

the first principal axis to be displayed

default value is 1

axis_2an integer

the second principal axis to be displayed

default value is 2

titlestring

title of the plot

default value is None (no title)

x11boolean

the plot is displayed on the screen if x11=True

default value is True

plotfilestring

name of the file to save the plot

defaulkt value is None (plot not saved)

fmtstring

format of the file to save the plot.

accepted values are png, eps, pdf.

Notes

returns a plot

Example

>>> import pydiodon as dio
>>> A, rn, cn = dio.load_dataset("diatoms_sweden")
>>> Y, L, V = dio.pca(A)
>>> dio.plot_var(V, varnames=cn)

af, 22.10.28