#求不同的均线defwma_dema:file_names=self.dailys_of_stocksforiinfile_names:df=pd.read_csvwma=abstract.Functionwma_5=wmadema=abstract.Functiondema_5=demakama=abstract.Functionkama_5=kamatema=abstract.Functiontema_5=temadf["wma_5"]=wma_5df["dema_5"]=dema_5df["kama_5"]=kama_5df["tema_5"]=tema_5df.index=pd.to_datetimedf.dropdf.to_csvreturnfile_names
defcharts:file_names=self.wma_dema#k线整体设置my_color=mpf.make_marketcolorsmy_style=mpf.make_mpf_styleforiinfile_names:#index_col="trade_date"。df=pd.read_csvdf_new=pd.DataFrame)add_plot=[mpf.make_addplot,mpf.make_addplot,mpf.make_addplot,mpf.make_addplot]mpf.plot,figscale=3,volume=True,title=i[6:12],)
classWMA_DEMA:def__init__:#self.dailys_of_stocks#self.wma_demaself.charts
ts.set_tokenpro=ts.pro_api
#获取股票的日线行情defdailys_of_stocks:stocks=["30099SZ","00241SZ","60176SH","000100.SZ","30005SZ","60123SH"]file_names=[]foriinstocks:df=pro.dailydf.index=pd.to_datetimedf.drop#tushare给的数据是从最近排到最远的，#而我们的股票都是从最远开始排到后面的，#所以我们要让它按日期重新排序df.sort_indexfile_name="daily_%s.csv"%ifile_names.appenddf.to_csvreturnfile_names
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