Python画直方图之seaborn

1.直方图。 

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

import seaborn as sns import matplotlib.pyplot as plt df = sns.load_dataset('iris') p2=sns.distplot( df["sepal_length"], bins=20 ) plt.show()

import seaborn as sns import matplotlib.pyplot as plt df = sns.load_dataset('iris') p1=sns.distplot( a=df["sepal_length"], hist=True, kde=False, rug=False ) plt.show()

import seaborn as sns import matplotlib.pyplot as plt df = sns.load_dataset('iris') p2=sns.distplot( a=df["sepal_length"], hist=True, kde=True, rug=True ) plt.show()

 

import seaborn as sns import matplotlib.pyplot as plt df = sns.load_dataset('iris') p3=sns.distplot( a=df["sepal_length"], rug=True, rug_kws={"color": "r", "alpha":0.3, "linewidth": 2, "height":0.2 } ) plt.show()

 

 

import seaborn as sns import matplotlib.pyplot as plt df = sns.load_dataset('iris') p4=sns.distplot( a=df["sepal_length"], kde=True, kde_kws={"color": "g", "alpha":0.3, "linewidth": 5, "shade":True } ) plt.show()

 

 

import seaborn as sns import matplotlib.pyplot as plt df = sns.load_dataset('iris') sns.distplot( df["sepal_length"] , color="peru") plt.show()

import seaborn as sns import matplotlib.pyplot as plt df = sns.load_dataset('iris') p1=sns.distplot( df["sepal_length"] , color="skyblue", vertical=True) plt.show()

 

import seaborn as sns import matplotlib.pyplot as plt df = sns.load_dataset('iris') my_dpi=96 plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi) f, (ax_box, ax_hist) = plt.subplots(2, sharex=True, gridspec_kw={"height_ratios": (.15, .85)}) sns.boxplot(df["sepal_length"], ax=ax_box) sns.distplot(df["sepal_length"], ax=ax_hist) ax_box.set(xlabel='') plt.show()

 

import seaborn as sns import matplotlib.pyplot as plt df = sns.load_dataset('iris') p1=sns.distplot( df["sepal_length"] , color="skyblue", label="Sepal Length") p1=sns.distplot( df["sepal_width"] , color="red", label="Sepal Width") plt.legend() plt.show()

import seaborn as sns import matplotlib.pyplot as plt df = sns.load_dataset('iris') my_dpi=96 plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi) f, axes = plt.subplots(2, 2, figsize=(7, 7), sharex=True) sns.distplot( df["sepal_length"] , color="skyblue", ax=axes[0, 0]) sns.distplot( df["sepal_width"] , color="olive", ax=axes[0, 1]) sns.distplot( df["petal_length"] , color="gold", ax=axes[1, 0]) sns.distplot( df["petal_width"] , color="teal", ax=axes[1, 1]) plt.show()

 

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