摘要： import tushare as ts import pandas as pd import numpy as np import matplotlib.pyplot as plt #获取万科000002股票日数据 wk=ts.get_hist_data('000002').sort_index( 阅读全文

摘要： import pandas as pd import numpy as np import tushare as ts import matplotlib.pyplot as plt import seaborn as sns from scipy import stats sh=ts.get_hi 阅读全文

摘要： import tushare as ts import pandas as pd import numpy as np from scipy import stats #今天上证跌破2800，计算一下var值 sh=ts.get_hist_data('sh').sort_index() sh['re 阅读全文

摘要： import tushare as ts import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns #绘制线图 plt.plot(数据，label='标签名字'，color 阅读全文

摘要： from datetime import datetime import pandas as pd import numpy as np #生成一个序列数据并转换为DataFrame格式 lasttime=pd.DataFrame(pd.date_range(start='20170101',end 阅读全文

摘要： import tushare as ts import pandas as pd import numpy as np import sqlite3 pf=ts.get_hist_data('600848') con=sqlite3.connect('c:\\desktop\\stockdata.d 阅读全文

摘要： 创建空dataframe 1,data=pd.DataFrame() 2,data=pd.DataFrame(columns=['a','b','c','d']) 3删除列 data.drop('a',axis=1) #删除行 data.drop([0,1]) #按索引删除 #切片的操作 #选取1列 阅读全文

摘要： 按索引排序 import tushare as ts import pandas as pd data=ts.get_hist_data('600848') #默认索引升序 data=data.sort_index() #索引降序排序 data=data.sort_index(axis=1,asce 阅读全文

摘要： enumerate函数 date='20180623' price=['30.45','32.56','36.78','30.32'] date_arrary=[str(date+num) for num,_ in enumerate(price)] 阅读全文

摘要： pip install tushare #python 3.6 import tushare as ts ,得到上证300指数和个股数据历史价格数据 sh=ts.get_hist_data('sh') **stock=ts.get_hist_data('*******')#输入股票代码即可 阅读全文