Python画小提琴图之seaborn

1.小提琴图。

import matplotlib.pylab as plt import seaborn as sns df = sns.load_dataset('iris') p1=sns.violinplot( y=df["sepal_length"] ) plt.show()

import matplotlib.pylab as plt import seaborn as sns df = sns.load_dataset('iris') p2=sns.violinplot( x=df["species"], y=df["sepal_length"] ) plt.show()

 

import matplotlib.pylab as plt import seaborn as sns df = sns.load_dataset('iris') p1=sns.violinplot( y=df["species"], x=df["sepal_length"] ) plt.show()

 

 

import matplotlib.pylab as plt import seaborn as sns df = sns.load_dataset('iris') p1=sns.violinplot( x=df["species"], y=df["sepal_length"], linewidth=5) plt.show()

import matplotlib.pylab as plt import seaborn as sns df = sns.load_dataset('iris') p3=sns.violinplot( x=df["species"], y=df["sepal_length"], width=0.3) plt.show()

 

import matplotlib.pylab as plt import seaborn as sns df = sns.load_dataset('iris') p1=sns.violinplot( x=df["species"], y=df["sepal_length"], palette="Blues") plt.show()

 

import matplotlib.pylab as plt import seaborn as sns df = sns.load_dataset('iris') my_pal = {"versicolor": "g", "setosa": "b", "virginica":"m"} p3=sns.violinplot( x=df["species"], y=df["sepal_length"], palette=my_pal) plt.show()

 

import matplotlib.pylab as plt import seaborn as sns df = sns.load_dataset('iris') my_pal = {species: "r" if species == "versicolor" else "b" for species in df.species.unique()} p4=sns.violinplot( x=df["species"], y=df["sepal_length"], palette=my_pal) plt.show()

 

import matplotlib.pylab as plt import seaborn as sns df = sns.load_dataset('tips') p1=sns.violinplot(x="day", y="total_bill", hue="smoker", data=df, palette="Pastel1") plt.show()

 

import matplotlib.pylab as plt import seaborn as sns df = sns.load_dataset('iris') p1=sns.violinplot(x='species', y='sepal_length', data=df, order=[ "versicolor", "virginica", "setosa"]) plt.show()

 

import matplotlib.pylab as plt import seaborn as sns df = sns.load_dataset('iris') my_order = df.groupby(by=["species"])["sepal_length"].median().iloc[::-1].index p2=sns.violinplot(x='species', y='sepal_length', data=df, order=my_order) plt.show()

 

import matplotlib.pylab as plt import seaborn as sns df = sns.load_dataset('iris') ax = sns.violinplot(x="species", y="sepal_length", data=df) medians = df.groupby(['species'])['sepal_length'].median().values nobs = df['species'].value_counts().values nobs = [str(x) for x in nobs.tolist()] nobs = ["n: " + i for i in nobs] pos = range(len(nobs)) for tick,label in zip(pos,ax.get_xticklabels()): ax.text(pos[tick], medians[tick] + 0.03, nobs[tick], horizontalalignment='center', size='x-small', color='w', weight='semibold') plt.show()

 

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本文来自：https://github.com/holtzy/The-Python-Graph-Gallery/blob/master/PGG_notebook.py