# 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

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