Boxplots

本文转载自斗大的熊猫

简单 Boxplots

import matplotlib.pyplot as plt
import numpy as np

all_data = [np.random.normal(, std, ) for std in range(, )]

fig = plt.figure(figsize=(,))

plt.boxplot(all_data,
            notch=False, # box instead of notch shape
            sym='rs',    # red squares for outliers
            vert=True)   # vertical box aligmnent

plt.xticks([y+ for y in range(len(all_data))], ['x1', 'x2', 'x3'])
plt.xlabel('measurement x')
t = plt.title('Box plot')
plt.show()
           

黑白盒状图

import matplotlib.pyplot as plt
import numpy as np

all_data = [np.random.normal(, std, ) for std in range(, )]

fig = plt.figure(figsize=(,))

bplot = plt.boxplot(all_data,
            notch=False, # box instead of notch shape
            sym='rs',    # red squares for outliers
            vert=True)   # vertical box aligmnent

plt.xticks([y+ for y in range(len(all_data))], ['x1', 'x2', 'x3'])
plt.xlabel('measurement x')

for components in bplot.keys():
    for line in bplot[components]:
        line.set_color('black')     # black lines

t = plt.title('Black and white box plot')

plt.show()
           

自定义颜色填充盒状图

import matplotlib.pyplot as plt
import numpy as np

all_data = [np.random.normal(, std, ) for std in range(, )]

fig = plt.figure(figsize=(,))

bplot = plt.boxplot(all_data,
            notch=False,  # notch shape
            vert=True,   # vertical box aligmnent
            patch_artist=True)   # fill with color

colors = ['pink', 'lightblue', 'lightgreen']
for patch, color in zip(bplot['boxes'], colors):
    patch.set_facecolor(color)

plt.xticks([y+ for y in range(len(all_data))], ['x1', 'x2', 'x3'])
plt.xlabel('measurement x')
t = plt.title('Box plot')
plt.show()
           

小提琴

import matplotlib.pyplot as plt
import numpy as np

fig, axes = plt.subplots(nrows=,ncols=, figsize=(,))

all_data = [np.random.normal(, std, ) for std in range(, )]

#fig = plt.figure(figsize=(8,6))

axes[].violinplot(all_data,
               showmeans=False,
               showmedians=True
               )
axes[].set_title('violin plot')

axes[].boxplot(all_data,
               )
axes[].set_title('box plot')

# adding horizontal grid lines
for ax in axes:
    ax.yaxis.grid(True)
    ax.set_xticks([y+ for y in range(len(all_data))], )
    ax.set_xlabel('xlabel')
    ax.set_ylabel('ylabel')

plt.setp(axes, xticks=[y+ for y in range(len(all_data))],
        xticklabels=['x1', 'x2', 'x3', 'x4'],
        )

plt.show()