小提琴图（violinplot）结合了箱线图和核密度图，可以反映任意位置的密度。
seaborn.violinplot基本参数为： violinplot(x=None, y=None, hue=None, data=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)
下边试举几例：
代码语言：javascript复制import seaborn as sns
sns.set(style="whitegrid")
tips = sns.load_dataset("tips")
ax = sns.violinplot(x=tips["total_bill"])
simple
代码语言：javascript复制ax = sns.violinplot(x="day", y="total_bill", data=tips)
vertical
分组：
代码语言：javascript复制ax = sns.violinplot(x="day", y="total_bill", hue="smoker",
data=tips, palette="muted")
group
将两组合到一起：
代码语言：javascript复制ax = sns.violinplot(x="day", y="total_bill", hue="smoker",
data=tips, palette="muted", split=True)
image.png
加上四分位数：
代码语言：javascript复制ax = sns.violinplot(x="day", y="total_bill", hue="sex",
data=tips, palette="Set2", split=True,
scale="count", inner="quartile")
quartiles
catplot分面：
代码语言：javascript复制g = sns.catplot(x="sex", y="total_bill",
hue="smoker", col="time",
data=tips, kind="violin", split=True,
height=4, aspect=.7)
catplot
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