Python常用的模块和简单用法

import random
a = [1, 2, 3, 4, 5]
print(random.choice(a))  # 随机从列表中抽取一个元素
code = random.choice(stock_list)  # 从一个列表中随机选取元素

import os
# 设置默认文件路径
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))  # 两级父目录
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')  # 设置横坐标x轴的名字
ax.set_ylabel('Return')  # 设置Y轴

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

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

plt.legend(loc='best')  # 显示图线的名字
plt.show()  # 绘出图像结果

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') #绘制数据点
# 设置坐标轴名字
ax.set_zlabel('final_ratio') #坐标轴
ax.set_ylabel('ma_short')
ax.set_xlabel('ma_long')
plt.show()