本文整理汇总了Python中pytdx.hq.TdxHq_API.get_k_data方法的典型用法代码示例。如果您正苦于以下问题：Python TdxHq_API.get_k_data方法的具体用法？Python TdxHq_API.get_k_data怎么用？Python TdxHq_API.get_k_data使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pytdx.hq.TdxHq_API的用法示例。
在下文中一共展示了TdxHq_API.get_k_data方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: get_tdx_kdata
# 需要导入模块: from pytdx.hq import TdxHq_API [as 别名]
# 或者: from pytdx.hq.TdxHq_API import get_k_data [as 别名]
def get_tdx_kdata(security_item, start, end):
api = TdxHq_API()
with api.connect():
# open close high low vol amount date code
# KDATA_COLUMN = ['timestamp', 'code', 'low', 'open', 'close', 'high', 'volume', 'turnover', 'securityId']
df = api.get_k_data(security_item['code'], start, end)
df = df[['date', 'code', 'low', 'open', 'close', 'high', 'vol', 'amount']]
df['securityId'] = df['code'].apply(lambda x: 'stock_{}_{}'.format(get_exchange(x), x))
df['vol'] = df['vol'].apply(lambda x: x * 100)
df.columns = KDATA_COLUMN
return df示例2: test_all_functions
# 需要导入模块: from pytdx.hq import TdxHq_API [as 别名]
# 或者: from pytdx.hq.TdxHq_API import get_k_data [as 别名]
def test_all_functions(multithread, heartbeat, auto_retry, raise_exception):
api = TdxHq_API(multithread=multithread, heartbeat=heartbeat,
auto_retry=auto_retry, raise_exception=raise_exception)
with api.connect(time_out=30):
log.info("获取股票行情")
stocks = api.get_security_quotes([(0, "000001"), (1, "600300")])
assert stocks is not None
assert type(stocks) is list
# 方法2
stocks = api.get_security_quotes(0, "000001")
assert stocks is not None
assert type(stocks) is list
# 方法3
stocks = api.get_security_quotes((0, "000001"))
assert stocks is not None
assert type(stocks) is list
log.info("获取k线")
data = api.get_security_bars(9, 0, '000001', 4, 3)
assert data is not None
assert type(data) is list
assert len(data) == 3
log.info("获取 深市 股票数量")
assert api.get_security_count(0) > 0
log.info("获取股票列表")
stocks = api.get_security_list(1, 0)
assert stocks is not None
assert type(stocks) is list
assert len(stocks) > 0
log.info("获取指数k线")
data = api.get_index_bars(9, 1, '000001', 1, 2)
assert data is not None
assert type(data) is list
assert len(data) == 2
log.info("查询分时行情")
data = api.get_minute_time_data(TDXParams.MARKET_SH, '600300')
assert data is not None
log.info("查询历史分时行情")
data = api.get_history_minute_time_data(
TDXParams.MARKET_SH, '600300', 20161209)
assert data is not None
assert type(data) is list
assert len(data) > 0
log.info("查询分时成交")
data = api.get_transaction_data(TDXParams.MARKET_SZ, '000001', 0, 30)
assert data is not None
assert type(data) is list
log.info("查询历史分时成交")
data = api.get_history_transaction_data(
TDXParams.MARKET_SZ, '000001', 0, 10, 20170209)
assert data is not None
assert type(data) is list
assert len(data) == 10
log.info("查询公司信息目录")
data = api.get_company_info_category(TDXParams.MARKET_SZ, '000001')
assert data is not None
assert type(data) is list
assert len(data) > 0
start = data[0]['start']
length = data[0]['length']
log.info("读取公司信息-最新提示")
data = api.get_company_info_content(
0, '000001', '000001.txt', start, length)
assert data is not None
assert len(data) > 0
log.info("读取除权除息信息")
data = api.get_xdxr_info(1, '600300')
assert data is not None
assert type(data) is list
assert len(data) > 0
log.info("读取财务信息")
data = api.get_finance_info(0, '000001')
assert data is not None
assert type(data) is OrderedDict
assert len(data) > 0
log.info("日线级别k线获取函数")
data = api.get_k_data('000001', '2017-07-01', '2017-07-10')
assert type(data) is pd.DataFrame
assert len(data) == 6
log.info("获取板块信息")
data = api.get_and_parse_block_info(TDXParams.BLOCK_FG)
assert data is not None
assert type(data) is list
#.........这里部分代码省略.........