簡單的盒狀圖

import matplotlib.pyplot as plt

import numpy as np

all_data = [np.random.normal(0, std, 100) for std in range(1, 4)]

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

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+1 for y in range(len(all_data))], ['x1', 'x2', 'x3'])

plt.xlabel('measurement x')

t = plt.title('Box plot')

plt.show()

黑白盒狀圖

import matplotlib.pyplot as plt

import numpy as np

all_data = [np.random.normal(0, std, 100) for std in range(1, 4)]

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

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+1 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()

水平盒狀圖

import matplotlib.pyplot as plt

import numpy as np

all_data = [np.random.normal(0, std, 100) for std in range(1, 4)]

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

plt.boxplot(all_data,

notch=False, # box instead of notch shape

sym='rs', # red squares for outliers

vert=False) # horizontal box aligmnent

plt.yticks([y+1 for y in range(len(all_data))], ['x1', 'x2', 'x3'])

plt.ylabel('measurement x')

t = plt.title('Horizontal Box plot')

plt.show()

圓柱盒狀圖

import matplotlib.pyplot as plt

import numpy as np

all_data = [np.random.normal(0, std, 100) for std in range(1, 4)]

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

plt.boxplot(all_data,

notch=True, # notch shape

sym='bs', # blue squares for outliers

vert=True, # vertical box aligmnent

patch_artist=True) # fill with color

plt.xticks([y+1 for y in range(len(all_data))], ['x1', 'x2', 'x3'])

plt.xlabel('measurement x')

t = plt.title('Box plot')

plt.show()

自定義顏色填充盒狀圖

import matplotlib.pyplot as plt

import numpy as np

all_data = [np.random.normal(0, std, 100) for std in range(1, 4)]

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

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+1 for y in range(len(all_data))], ['x1', 'x2', 'x3'])

plt.xlabel('measurement x')

t = plt.title('Box plot')

plt.show()

繪制小提琴圖

import matplotlib.pyplot as plt

import numpy as np

fig, axes = plt.subplots(nrows=1,ncols=2, figsize=(12,5))

all_data = [np.random.normal(0, std, 100) for std in range(6, 10)]

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

axes[0].violinplot(all_data,

showmeans=False,

showmedians=True

)

axes[0].set_title('violin plot')

axes[1].boxplot(all_data,

)

axes[1].set_title('box plot')

# adding horizontal grid lines

for ax in axes:

ax.yaxis.grid(True)

ax.set_xticks([y+1 for y in range(len(all_data))], )

ax.set_xlabel('xlabel')

ax.set_ylabel('ylabel')

plt.setp(axes, xticks=[y+1 for y in range(len(all_data))],

xticklabels=['x1', 'x2', 'x3', 'x4'],

)

plt.show()

來源：http://blog.topspeedsnail.com/archives/737#more-737

總結

以上是生活随笔為你收集整理的用python画盒图_[519]matplotlib(四)|Python中用matplotlib绘制盒状图（Boxplots）和小提琴图（Violinplots）...的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。