matplotlib.axes.Axes.violinplot#

Axes.violinplot(dataset,positions=None,*,vert=None,orientation='vertical',widths=0.5,showmeans=False,showextrema=True,showmedians=False,quantiles=None,points=100,bw_method=None,side='both',data=None)[source]#

Make a violin plot.

Make a violin plot for each column ofdataset or each vector insequencedataset. Each filled area extends to represent theentire data range, with optional lines at the mean, the median,the minimum, the maximum, and user-specified quantiles.

Parameters:

datasetArray or a sequence of vectors.

The input data.

positionsarray-like, default: [1, 2, ..., n]

The positions of the violins; i.e. coordinates on the x-axis forvertical violins (or y-axis for horizontal violins).

vertbool, optional

Deprecated since version 3.10:Useorientation instead.

If this is given during the deprecation period, it overridestheorientation parameter.

If True, plots the violins vertically.If False, plots the violins horizontally.

orientation{'vertical', 'horizontal'}, default: 'vertical'

If 'horizontal', plots the violins horizontally.Otherwise, plots the violins vertically.

Added in version 3.10.

widthsfloat or array-like, default: 0.5

The maximum width of each violin in units of thepositions axis.The default is 0.5, which is half the available space when using defaultpositions.

showmeansbool, default: False

Whether to show the mean with a line.

showextremabool, default: True

Whether to show extrema with a line.

showmediansbool, default: False

Whether to show the median with a line.

quantilesarray-like, default: None

If not None, set a list of floats in interval [0, 1] for each violin,which stands for the quantiles that will be rendered for thatviolin.

pointsint, default: 100

The number of points to evaluate each of the gaussian kernel densityestimations at.

bw_method{'scott', 'silverman'} or float or callable, default: 'scott'

The method used to calculate the estimator bandwidth. If afloat, this will be used directly askde.factor. If acallable, it should take amatplotlib.mlab.GaussianKDE instance asits only parameter and return a float.

side{'both', 'low', 'high'}, default: 'both'

'both' plots standard violins. 'low'/'high' onlyplots the side below/above the positions value.

dataindexable object, optional

If given, the following parameters also accept a strings, which isinterpreted asdata[s] ifs is a key indata:

dataset

Returns:

dict

A dictionary mapping each component of the violinplot to alist of the corresponding collection instances created. Thedictionary has the following keys:

• bodies: A list of thePolyCollectioninstances containing the filled area of each violin.

• cmeans: ALineCollection instance that marksthe mean values of each of the violin's distribution.

• cmins: ALineCollection instance that marksthe bottom of each violin's distribution.

• cmaxes: ALineCollection instance that marksthe top of each violin's distribution.

• cbars: ALineCollection instance that marksthe centers of each violin's distribution.

• cmedians: ALineCollection instance thatmarks the median values of each of the violin's distribution.

• cquantiles: ALineCollection instance createdto identify the quantile values of each of the violin'sdistribution.

See also

Axes.violin

Draw a violin from pre-computed statistics.

boxplot

Draw a box and whisker plot.

Examples usingmatplotlib.axes.Axes.violinplot#

Box plot vs. violin plot comparison

Box plot vs. violin plot comparison

Violin plot customization

Violin plot customization

Violin plot basics

Violin plot basics

violinplot(D)

violinplot(D)