pandas.plotting.andrews_curves¶
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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