def get_bars(self, symbols, period=BarPeriod.DAY, begin_time=-1, end_time=-1, right=QuoteRight.BR, limit=251,
lang=None):
"""
获取K线数据
:param symbols: 股票代码
:param period: day: 日K,week: 周K,month:月K ,year:年K,1min:1分钟,5min:5分钟,15min:15分钟,30min:30分钟,60min:60分钟
:param begin_time: 开始时间
:param end_time: 结束时间
:param right: 复权选项 ，br: 前复权，nr: 不复权
:param limit: 数量限制
:param lang: 语言支持: zh_CN,zh_TW,en_US
:return:
"""
params = MultipleQuoteParams()
params.symbols = symbols
if period:
params.period = period.value
params.begin_time = begin_time
params.end_time = end_time
params.right = right.value
params.limit = limit
params.lang = lang.value if lang else self._lang.value
request = OpenApiRequest(KLINE, biz_model=params)
response_content = self.__fetch_data(request)
if response_content:
response = QuoteBarResponse()
response.parse_response_content(response_content)
if response.is_success():
return response.bars
else:
raise ApiException(response.code, response.message)
def get_bars(self,
symbols,
period=BarPeriod.DAY,
begin_time=-1,
end_time=-1,
right=QuoteRight.BR,
limit=251,
lang=None):
"""
获取K线数据
:param symbols: 股票代号列表
:param period: day: 日K,week: 周K,month:月K ,year:年K,1min:1分钟,5min:5分钟,15min:15分钟,30min:30分钟,60min:60分钟
:param begin_time: 开始时间. 若是时间戳需要精确到毫秒, 为13位整数;
或是日期时间格式的字符串, 如 "2019-01-01" 或 "2019-01-01 12:00:00"
:param end_time: 结束时间. 格式同 begin_time
:param right: 复权选项 ，QuoteRight.BR: 前复权，nQuoteRight.NR: 不复权
:param limit: 数量限制
:param lang: 语言支持: zh_CN,zh_TW,en_US
:return: pandas.DataFrame 对象，各 column 的含义如下；
time: 毫秒时间戳
open: Bar 的开盘价
close: Bar 的收盘价
high: Bar 的最高价
low: Bar 的最低价
volume: Bar 的成交量
"""
params = MultipleQuoteParams()
params.symbols = symbols
if period:
params.period = period.value
params.begin_time = begin_time
params.end_time = end_time
params.right = right.value
params.limit = limit
params.lang = lang.value if lang else self._lang.value
request = OpenApiRequest(KLINE, biz_model=params)
response_content = self.__fetch_data(request)
if response_content:
response = QuoteBarResponse()
response.parse_response_content(response_content)
if response.is_success():
return response.bars
else:
raise ApiException(response.code, response.message)