在Seaborn的方框图中显示平均值[副本]

这是一个最小的示例,并产生所需的结果:

import matplotlib.pyplot as plt
import numpy as np

data_to_plot = np.random.rand(100,5)

fig = plt.figure(1, figsize=(9, 6))
ax = fig.add_subplot(111)    
bp = ax.boxplot(data_to_plot, showmeans=True)

plt.show()

编辑:

如果你想在matplotlib版本1.3.1中达到同样的效果,你必须手动绘制平均值。这是一个如何做到的例子:

import matplotlib.pyplot as plt
import numpy as np

data_to_plot = np.random.rand(100,5)
positions = np.arange(5) + 1

fig, ax = plt.subplots(1,2, figsize=(9,4))

# matplotlib > 1.4
bp = ax[0].boxplot(data_to_plot, positions=positions, showmeans=True)
ax[0].set_title("Using showmeans")

#matpltolib < 1.4
bp = ax[1].boxplot(data_to_plot, positions=positions)
means = [np.mean(data) for data in data_to_plot.T]
ax[1].plot(positions, means, 'rs')
ax[1].set_title("Plotting means manually")

plt.show()

结果:

您还可以升级matplotlib:

 pip2 install matplotlib --upgrade

然后

bp = axes.boxplot(data_to_plot,showmeans=True)