from itertools import groupby
nums2=[225, 232,232,245,235,245,270,225,240,240,217,195,225,185,200,
    220,200,210,271,240,220,230,215,252,225,220,206,185,227,236]
for k, g in groupby(sorted(nums2), key=lambda x: int(x) // 10):
  print (k, list(g))
  # print('k', k)
  # print('g', list(g))
  lst = map(str, [int(y) % 10 for y in list(g)])
  print (k, '|', ' '.join(lst))

18 | 5 5
19 | 5
20 | 0 0 6
21 | 0 5 7
22 | 0 0 0 5 5 5 5 7
23 | 0 2 2 5 6
24 | 0 0 0 5 5
25 | 2
27 | 0 1

> from itertools import groupby
> x = groupby(range(10), lambda x: x < 5 or x > 8)
> for condition, numbers in x:
	print(condition, list(numbers))
输出：
True [0, 1, 2, 3, 4]
False [5, 6, 7, 8]
True [9]

> [k for k, g in groupby('AAAABBBCCDAABBB')]
['A', 'B', 'C', 'D', 'A', 'B']
> [list(g) for k, g in groupby('AAAABBBCCD')]
[['A', 'A', 'A', 'A'], ['B', 'B', 'B'], ['C', 'C'], ['D']]

> [int(y) % 10 for y in [22,73,34,92,45]]
[2, 3, 4, 2, 5]

import numpy as np
import matplotlib as mpl
from matplotlib import cm
import matplotlib.pyplot as plt
from matplotlib.patches import ConnectionPatch

# 使图表元素中正常显示中文
mpl.rcParams['font.sans-serif'] = 'SimHei'
# 使坐标轴刻度标签正常显示负号
mpl.rcParams['axes.unicode_minus'] = False

#制画布
fig = plt.figure(figsize=(9,5.0625), facecolor='cornsilk')
ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)

# 调整子区布局
fig.subplots_adjust(wspace=0)

# 大饼图的制作
labels = ['成都','武汉','昆明','贵阳','西安','其它']
size = [802,530,477,256,233,307]
# 分裂距离
explode=(0,0,0,0,0,0.1)
ax1.pie(size,        # 数据
    autopct='%1.1f%%',  # 锲形块的数据标签格式
    startangle=30,    # 锲形块开始角度
    labels=labels,
    colors=cm.Blues(range(10, 300, 50)),
    explode=explode)

#小饼图的制作
labels2 = ['西宁','拉萨','乌鲁木齐','兰州']
size2 = [102,79, 76, 50]
width=0.2
ax2.pie(size2,
    autopct='%1.1f%%',
    startangle=90,
    labels=labels2,
    colors=cm.Blues(range(10, 300, 50)),
    radius=0.5,
    shadow=False)

#使用ConnectionPatch画出两个饼图的间连线
#先得到饼图边缘的数据
theta1, theta2 = ax1.patches[-1].theta1, ax1.patches[-1].theta2
center, r   = ax1.patches[-1].center, ax1.patches[-1].r
#画出上边缘的连线
x = r*np.cos(np.pi/180*theta2)+center[0]
y = np.sin(np.pi/180*theta2)+center[1]
con1 = ConnectionPatch(xyA=(0, 0.5),
            xyB=(x,y),
            coordsA=ax2.transData,
            coordsB=ax1.transData,
            axesA=ax2,axesB=ax1)
print(-width/2, 0.5)
print(x,y)

#画出下边缘的连线
x = r*np.cos(np.pi/180*theta1) + center[0]
y = np.sin(np.pi/180*theta1) + center[1]
con2 = ConnectionPatch(xyA=(-0.1, -0.49),
            xyB=(x,y),
            coordsA='data',
            coordsB='data',
            axesA=ax2,axesB=ax1)

# 添加连接线
for con in [con1, con2]:
  con.set_color('gray')
  ax2.add_artist(con)
  con.set_linewidth(1)

plt.show()