python类get_report_data()的实例源码

def get_basic():
    hsdq = stock_info.ix['300141']
    print hsdq
    report = ts.get_report_data(2014, 1)
    print report

    #hsdq=stock_info.ix['300141']
    #print hsdq
    #report=ts.get_report_data(2014,1)
    #print report
    print '*' * 20
    df = ts.get_today_all()
    zrkj = df[df['code'] == '300333']
    print type(zrkj)
    print type(zrkj['code'])
    print zrkj['name'].values[0]

def __init__(self):
        self.name = "base"
        self.fundaLib = {}
        self.fundaLib[fundaType.performance] = funda_cell(ts.get_report_data, "performance_report")
        self.fundaLib[fundaType.profit] = funda_cell(ts.get_profit_data, "profit_report")
        self.fundaLib[fundaType.operation] = funda_cell(ts.get_operation_data, "operation_report")
        self.fundaLib[fundaType.growth] = funda_cell(ts.get_growth_data, "growth_report")
        self.fundaLib[fundaType.debtpaying] = funda_cell(ts.get_debtpaying_data, "debtpaying_report")
        self.fundaLib[fundaType.cashflow] = funda_cell(ts.get_cashflow_data, "cashflow_report")

def profit(self):
        df_2016=ts.get_report_data(2016,4)

        #????????
        #df= df.sort_values('profits_yoy',ascending=False)
        #df.to_excel('profit.xls')
        df_2015=ts.get_report_data(2015,4)
        df_2016.to_excel('2016_report.xls')
        df_2015.to_excel('2015_report.xls')
        code_2015_lost=df_2015[df_2015['net_profits']<0]['code'].values
        code_2016_lost=df_2016[df_2016['net_profits']<0]['code'].values

        print code_2015_lost
        print code_2016_lost
        two_year_lost=[]
        #two_year_lost_name=[]
        for i in code_2015_lost:
            if i in code_2016_lost:
                print i,
                #name=self.base[self.base['code']==i].values[0]
                two_year_lost.append(i)

        self.saveList(two_year_lost,'st_dangours.csv')


        #df_2014=ts.get_report_data(2014,4)

def get_report_data(year, quarter):
    ''' invoke tushare get_report_data() with csv output
    brief: to improve data integrality, we repeatedly do these actions in a row,
           call API -> append to file -> drop duplicates
    args: year, quarter
    returns: csv format data containing the whole martket report in specific year, quarter
    json fomat, df.to_json(year+'q'+quarter+'.json', orient='index')
    '''

    # profit
    print "[%s] profit %sq%s" %(datetime.now().strftime("%H:%M:%S.%f"), year, quarter)
    filename = PREFIX + '/' + year + 'q' + quarter + '.profit.csv'
    df = ts.get_profit_data(int(year), int(quarter)).sort_values(by='code').drop_duplicates()
    print "\n"
    save_to_file(filename, df)

    # operation
    print "[%s] operation %sq%s" %(datetime.now().strftime("%H:%M:%S.%f"), year, quarter)
    filename = PREFIX + '/' + year + 'q' + quarter + '.operation.csv'
    df = ts.get_operation_data(int(year), int(quarter)).sort_values(by='code').drop_duplicates()
    print "\n"
    save_to_file(filename, df)

    # growth
    print "[%s] growth %sq%s" %(datetime.now().strftime("%H:%M:%S.%f"), year, quarter)
    filename = PREFIX + '/' + year + 'q' + quarter + '.growth.csv'
    df = ts.get_growth_data(int(year), int(quarter)).sort_values(by='code').drop_duplicates()
    print "\n"
    save_to_file(filename, df)

    # debtpaying
    print "[%s] debtpaying %sq%s" %(datetime.now().strftime("%H:%M:%S.%f"), year, quarter)
    filename = PREFIX + '/' + year + 'q' + quarter + '.debtpaying.csv'
    df = ts.get_debtpaying_data(int(year), int(quarter)).sort_values(by='code').drop_duplicates()
    print "\n"
    save_to_file(filename, df)

    # cashflow
    print "[%s] cashflow %sq%s" %(datetime.now().strftime("%H:%M:%S.%f"), year, quarter)
    filename = PREFIX + '/' + year + 'q' + quarter + '.cashflow.csv'
    df = ts.get_cashflow_data(int(year), int(quarter)).sort_values(by='code').drop_duplicates()
    print "\n"
    save_to_file(filename, df)

    # main report
    print "[%s] main %sq%s" %(datetime.now().strftime("%H:%M:%S.%f"), year, quarter)
    filename = PREFIX + '/' + year + 'q' + quarter + '.csv'
    df = ts.get_report_data(int(year), int(quarter)).sort_values(by='code').drop_duplicates()
    print "\n"
    return save_to_file(filename, df)