import random
a = [1, 2, 3, 4, 5]
print(random.choice(a))  # 隨機(jī)從列表中抽取一個(gè)元素
code = random.choice(stock_list)  # 從一個(gè)列表中隨機(jī)選取元素

import os

# 設(shè)置默認(rèn)文件路徑
os.chdir()
os.chdir(u'C:/Users/Ocean/OneDrive/class5/data/input_data/stock_data')
df = pd.read_csv('sz300001.csv')
print df

root_path = os.path.abspath(os.path.join(current_file, os.pardir, os.pardir))  # 兩級父目錄
print root_path

input_data_path = os.path.abspath(os.path.join(root_path, 'data', 'input_data'))

import time

date_now = time.strftime('%Y-%m-%d', time.localtime(time.time()))

start = time.time()
end = time.time()
used_time = str(end - start)
print "used_time: " + used_time

import matplotlib.pyplot as plt

fig = plt.figure(figsize=(12,5))

ax = fig.add_subplot(1,1,1)

ax.set_title(str(code))
ax.set_xlabel('Time')  # 設(shè)置橫坐標(biāo)x軸的名字
ax.set_ylabel('Return')  # 設(shè)置Y軸

plt.plot(df[equity], label='stock_return')  

plt.scatter(df['ma_long'], df['final_ratio'], label='ma_long')

plt.legend(loc='best')  # 顯示圖線的名字
plt.show()  # 繪出圖像結(jié)果

from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure()
ax = Axes3D(fig)
ax.scatter(df['ma_long'],df['ma_short'],df['final_ratio'], c='b') #繪制數(shù)據(jù)點(diǎn)
# 設(shè)置坐標(biāo)軸名字
ax.set_zlabel('final_ratio') #坐標(biāo)軸
ax.set_ylabel('ma_short')
ax.set_xlabel('ma_long')
plt.show()