python类get_industry_classified()的实例源码

def load_tushare_df(df_type):
    file = 'ts.' + df_type + '.dat'
    try:
        obj = pickle.load(open(file,"rb"))
    except:
        #print("---load in the fly",df_type)
        if df_type == "basic":
           obj = ts.get_stock_basics()
        elif df_type == "sme":
           obj = ts.get_sme_classified()
        elif df_type == "gem":
           obj=ts.get_gem_classified()
        elif df_type == "industry":
           #print(ts, pickle)
           obj = ts.get_industry_classified() #?????,??2800??,?????3326,??????? get_stock_basics
        elif df_type == "st":
           obj = ts.get_st_classified()
        else:
            raise Exception("Error TSshare Type!!!")
        pickle.dump(obj,open(file,"wb",0))
    else:
        #print("***Read from file %s" % df_type)
        pass
    return obj

def plot_days():
    if request.method == 'GET' :
        today = ts.get_today_all()
        code_info = ts.get_industry_classified()

        today['code'] = today['code'].astype(unicode)
        one_day = gd.get_data_real_time(code_info, today)
        body = heatmap.get_heatmap('Today', one_day)
        return render_template('heatmap.html', body=body)