本文整理汇总了Python中pytdx.hq.TdxHq_API.get_and_parse_block_info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_and_parse_block_info方法的具体用法？Python TdxHq_API.get_and_parse_block_info怎么用？Python TdxHq_API.get_and_parse_block_info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_and_parse_block_info方法的3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: QA_fetch_get_stock_block
# 需要导入模块: from pytdx.hq import TdxHq_API [as 别名]
# 或者: from pytdx.hq.TdxHq_API import get_and_parse_block_info [as 别名]
def QA_fetch_get_stock_block(ip=None, port=None):
'板块数据'
global best_ip
if ip is None and port is None and best_ip['stock']['ip'] is None and best_ip['stock']['port'] is None:
best_ip = select_best_ip()
ip = best_ip['stock']['ip']
port = best_ip['stock']['port']
elif ip is None and port is None and best_ip['stock']['ip'] is not None and best_ip['stock']['port'] is not None:
ip = best_ip['stock']['ip']
port = best_ip['stock']['port']
else:
pass
api = TdxHq_API()
with api.connect(ip, port):
data = pd.concat([api.to_df(api.get_and_parse_block_info("block_gn.dat")).assign(type='gn'),
api.to_df(api.get_and_parse_block_info(
"block.dat")).assign(type='yb'),
api.to_df(api.get_and_parse_block_info(
"block_zs.dat")).assign(type='zs'),
api.to_df(api.get_and_parse_block_info("block_fg.dat")).assign(type='fg')])
if len(data) > 10:
return data.assign(source='tdx').drop(['block_type', 'code_index'], axis=1).set_index('code', drop=False, inplace=False).drop_duplicates()
else:
QA_util_log_info('Wrong with fetch block ')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_and_parse_block_info [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.........
示例3: bytearray
# 需要导入模块: from pytdx.hq import TdxHq_API [as 别名]
# 或者: from pytdx.hq.TdxHq_API import get_and_parse_block_info [as 别名]
one_chunk = 0x7530
chuncks = size // one_chunk
if size % one_chunk != 0:
chuncks += 1
file_content = bytearray()
for seg in range(chuncks):
start = seg * one_chunk
piece_data = client.get_block_info(blockfile, start, size)
file_content.extend(piece_data)
return BlockReader().get_data(file_content, BlockReader_TYPE_FLAT)
if __name__ == '__main__':
from pytdx.hq import TdxHq_API
api = TdxHq_API()
with api.connect():
# ret = api.get_block_info("block_zs.dat", 0, 100)
# print(len(ret))
# ret = api.get_and_parse_block_info("block_fg.dat")
# ret = api.get_and_parse_block_info("block_zs.dat")
# ret = api.get_and_parse_block_info("block_gn.dat")
# ret = api.get_and_parse_block_info("block.dat")
ret = api.get_and_parse_block_info("block.dat")
print(api.to_df(ret))