# coding=utf-8
# import matplotlib.pyplot as plt
#
#
# years = [2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019]
# turnovers = [0.5, 9.36, 52, 191, 350, 571, 912, 1027, 1682, 2135, 2684]
# plt.figure(figsize=(10, 10), dpi=100)
# plt.scatter(years, turnovers)
# plt.show()


# import matplotlib.pyplot as plt
#
#
# years = [2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019]
# turnovers = [0.5, 9.36, 52, 191, 350, 571, 912, 1027, 1682, 2135, 2684]
# plt.figure(figsize=(10, 15), dpi=100)
# plt.scatter(years, turnovers, c='red', s=100, label='成交额')
# plt.xticks(range(2008, 2020, 1))
# plt.yticks(range(0, 3200, 200))
# plt.xlabel("年份", fontdict={'size': 16})
# plt.ylabel("成交额", fontdict={'size': 16})
# plt.title("历年天猫双11总成交额", fontdict={'size': 20})
# plt.legend(loc='best')
# plt.show()


# import matplotlib.pyplot as plt
# import numpy as np
#
#
# years = [2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019]
# turnovers = [0.5, 9.36, 52, 191, 350, 571, 912, 1027, 1682, 2135, 2684]
# plt.figure(figsize=(10, 15), dpi=100)
# size = list()
# for tur in turnovers:
#     size.append(tur) if tur > 100 else size.append(100)
# plt.xticks(range(2008, 2020, 1))
# plt.yticks(range(0, 3200, 200))
# plt.scatter(years, turnovers, c=np.random.randint(0, 50, 11), s=size)
# plt.xlabel("年份", fontdict={'size': 16})
# plt.ylabel("成交额", fontdict={'size': 16})
# plt.title("历年天猫双11总成交额", fontdict={'size': 20})
# plt.show()


import matplotlib.pyplot as plt
import numpy as np
import math


years = [2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019]
turnovers = [0.5, 9.36, 52, 191, 350, 571, 912, 1027, 1682, 2135, 2684]
squares = [math.pow(year-2008, 3.3) for year in years]
powers = [math.pow(2, year-2008) for year in years]
plt.figure(figsize=(10, 15), dpi=100)
size = list()
for tur in turnovers:
    size.append(tur) if tur > 100 else size.append(100)
plt.xticks(range(2008, 2020, 1))
plt.yticks(range(0, 3200, 200))
plt.scatter(years, turnovers, c=np.random.randint(0, 50, 11), s=size, label='成交额')
plt.plot(years, squares, color='red', label='x^3.3')
plt.plot(years, powers, color='blue', label='2^n')
plt.legend(loc='best', fontsize=16, markerscale=0.5)
plt.xlabel("年份", fontdict={'size': 16})
plt.ylabel("成交额", fontdict={'size': 16})
plt.title("历年天猫双11总成交额", fontdict={'size': 20})
plt.show()
