【PBL_231224】Python SARIMA模型预测 中国平安 000001.SZ

import random
import string
from datetime import datetime

def generate_random_string(length=3):
    characters = string.ascii_uppercase
    return ''.join(random.choice(characters) for _ in range(length))

def generate_timestamped_string(separator='_'):
    timestamp = datetime.now().strftime('%y%m%d%H%M%S')
    random_part = generate_random_string(length=3)
    return random_part+separator+timestamp

timestamped_string = generate_timestamped_string()
print(timestamped_string)

#!/usr/bin/env python
# coding: utf-8

# In[59]:


import warnings
warnings.filterwarnings('ignore')
import pandas as pd 
import seaborn as sns
import matplotlib.pyplot as plt
get_ipython().run_line_magic('matplotlib', 'inline')


# In[60]:


plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False 


# In[61]:


import tushare as ts   # 导入tushare模块   zhttps://tushare.pro


# In[62]:


# 填入个人TOKEN
# pro = ts.pro_api('******')