Andrewscurves

import hvplot.pandas  # noqa

Andrews curves provides a mechanism for visualising clusters of multivariate data.

Andrews curves have the functional form:

f(t) = x_1/sqrt(2) + x_2 sin(t) + x_3 cos(t) + x_4 sin(2t) + x_5 cos(2t) + ...

Where x coefficients correspond to the values of each dimension and t is linearly spaced between -pi and +pi. Each row of frame then corresponds to a single curve.

from bokeh.sampledata import iris

iris = iris.flowers

iris.head()

	sepal_length	sepal_width	petal_length	petal_width	species
0	5.1	3.5	1.4	0.2	setosa
1	4.9	3.0	1.4	0.2	setosa
2	4.7	3.2	1.3	0.2	setosa
3	4.6	3.1	1.5	0.2	setosa
4	5.0	3.6	1.4	0.2	setosa

hvplot.plotting.andrews_curves(
    iris,
    class_column='species',
    samples=20,
)

This web page was generated from a Jupyter notebook and not all interactivity will work on this website.