matplotlib.axes.Axes.violin

Axes.violin(vpstats, positions=None, vert=True, widths=0.5, showmeans=False, showextrema=True, showmedians=False)
[source]

Drawing function for violin plots.
Draw a violin plot for each column of vpstats
. Each filled area extends to represent the entire data range, with optional lines at the mean, the median, the minimum, and the maximum.
Parameters: 

vpstats : list of dicts 
A list of dictionaries containing stats for each violin plot. Required keys are: 
coords : A list of scalars containing the coordinates that the violin's kernel density estimate were evaluated at. 
vals : A list of scalars containing the values of the kernel density estimate at each of the coordinates given in coords. 
mean : The mean value for this violin's dataset. 
median : The median value for this violin's dataset. 
min : The minimum value for this violin's dataset. 
max : The maximum value for this violin's dataset. 
positions : arraylike, 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, plots the violins veritcally. Otherwise, plots the violins horizontally. 
widths : arraylike, 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. 
Returns: 

result : dict 
A dictionary mapping each component of the violinplot to a list of the corresponding collection instances created. The dictionary has the following keys: 