![]() ![]() Of data at once, but keep in mind that the estimation procedure is This can be an effective and attractive way to show multiple distributions UnlikeĪ box plot, in which all of the plot components correspond to actualĭatapoints, the violin plot features a kernel density estimation of the It shows theĭistribution of quantitative data across several levels of one (or more)Ĭategorical variables such that those distributions can be compared. violinplot ( data = None, *, x = None, y = None, hue = None, order = None, hue_order = None, bw = 'scott', cut = 2, scale = 'area', scale_hue = True, gridsize = 100, width = 0.8, inner = 'box', split = False, dodge = True, orient = None, linewidth = None, color = None, palette = None, saturation = 0.75, ax = None, ** kwargs ) #ĭraw a combination of boxplot and kernel density estimate.Ī violin plot plays a similar role as a box and whisker plot. If you believe that any review contained on our site infringes upon your copyright, please email us.Seaborn.violinplot # seaborn.
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