pandas.plotting.andrews_curves — pandas 0.24.0rc1 documentation (original) (raw)

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

Generates 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:	ax : Matplotlib axis object

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:

ax : Matplotlib axis object