06 2018 档案

python 动量指标
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
posted @ 2018-06-30 10:04 The_Chain 阅读(407) 评论(0) 推荐(0)
python t检验
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
posted @ 2018-06-29 11:00 The_Chain 阅读(2849) 评论(0) 推荐(0)
python 求解var值
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
posted @ 2018-06-28 15:25 The_Chain 阅读(887) 评论(0) 推荐(0)
matplotlib.pyplot
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
posted @ 2018-06-28 10:40 The_Chain 阅读(192) 评论(0) 推荐(0)
pandas计算时间的间隔天数
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
posted @ 2018-06-27 10:04 The_Chain 阅读(1682) 评论(0) 推荐(0)
dataframe 写入读取数据库sqlite ,mysql
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
posted @ 2018-06-24 22:22 The_Chain 阅读(2042) 评论(0) 推荐(0)
pandas DataFrame 的系列操作
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
posted @ 2018-06-24 16:22 The_Chain 阅读(159) 评论(0) 推荐(0)
pandas排序
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
posted @ 2018-06-23 21:36 The_Chain 阅读(932) 评论(0) 推荐(0)
函数学习
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
posted @ 2018-06-23 15:45 The_Chain 阅读(104) 评论(0) 推荐(0)
tushare
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
posted @ 2018-06-04 16:44 The_Chain 阅读(87) 评论(0) 推荐(0)