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dataset : Array or a sequence of vectors.: The input data.
positions : array-like, default = [1, 2, ..., n]: Sets the positions of the violins. The ticks and limits are automatically set to match the positions.
vert : bool, default = True.: If true, creates a vertical violin plot. Otherwise, creates a horizontal violin plot.
widths : array-like, default = 0.5: Either a scalar or a vector that sets the maximal width of each violin. The default is 0.5, which uses about half of the available horizontal space.
showmeans : bool, default = False: If True, will toggle rendering of the means.
showextrema : bool, default = True: If True, will toggle rendering of the extrema.
showmedians : bool, default = False: If True, will toggle rendering of the medians.
points : scalar, default = 100: Defines the number of points to evaluate each of the gaussian kernel density estimations at.
bw_method : str, scalar or callable, optional: The method used to calculate the estimator bandwidth. This can be 'scott', 'silverman', a scalar constant or a callable. If a scalar, this will be used directly as kde.factor. If a callable, it should take a GaussianKDE instance as its only parameter and return a scalar. If None (default), 'scott' is used.

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