pandas.plotting.andrews_curves

pandas.plotting.andrews_curves(frame, class_column, ax=None, samples=200, color=None, colormap=None, **kwds)

Generate a matplotlib plot of Andrews curves, 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.

Parameters:

frame : DataFrame

Data to be plotted, preferably normalized to (0.0, 1.0)

class_column : Name of the column containing class names

ax : matplotlib axes object, default None

samples : Number of points to plot in each curve

color : list or tuple, optional

Colors to use for the different classes

colormap : str or matplotlib colormap object, default None

Colormap to select colors from. If string, load colormap with that name from matplotlib.

kwds : keywords

Options to pass to matplotlib plotting method

Returns:

class:matplotlip.axis.Axes