Python进行数据分析—可视化之seaborn

安装seaborn，可以使用 pip:

pip install seaborn

也可以使用 conda:

conda install seaborn

一个简单的箱线图：

import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
sns.set(style="ticks")
# Initialize the figure with a logarithmic x axis
f, ax = plt.subplots(figsize=(7, 6))
ax.set_xscale("log")
# Load the example planets dataset
planets = sns.load_dataset("planets")
# Plot the orbital period with horizontal boxes
sns.boxplot(x="distance", y="method", data=planets,
            whis=np.inf, palette="vlag")
# Add in points to show each observation
sns.swarmplot(x="distance", y="method", data=planets,
              size=2, color=".3", linewidth=0)
# Tweak the visual presentation
ax.xaxis.grid(True)
ax.set(ylabel="")
sns.despine(trim=True, left=True)
plt.show()  # 记得show（）一下