def xsg_data(year=None, month=None,
retry_count=3, pause=0.001):
"""
获取限售股解禁数据
Parameters
--------
year:年份,默认为当前年
month:解禁月份，默认为当前月
retry_count : int, 默认 3
如遇网络等问题重复执行的次数
pause : int, 默认 0
重复请求数据过程中暂停的秒数，防止请求间隔时间太短出现的问题
Return
------
DataFrame
code:股票代码
name:名称
date:解禁日期
count:解禁数量（万股）
ratio:占总盘比率
"""
year = du.get_year() if year is None else year
month = du.get_month() if month is None else month
for _ in range(retry_count):
time.sleep(pause)
try:
request = Request(rv.XSG_URL%(ct.P_TYPE['http'], ct.DOMAINS['em'],
ct.PAGES['emxsg'], year, month))
lines = urlopen(request, timeout = 10).read()
lines = lines.decode('utf-8') if ct.PY3 else lines
except Exception as e:
print(e)
else:
da = lines[3:len(lines)-3]
list = []
for row in da.split('","'):
list.append([data for data in row.split(',')])
df = pd.DataFrame(list)
df = df[[1, 3, 4, 5, 6]]
for col in [5, 6]:
df[col] = df[col].astype(float)
df[5] = df[5]/10000
df[6] = df[6]*100
df[5] = df[5].map(ct.FORMAT)
df[6] = df[6].map(ct.FORMAT)
df.columns = rv.XSG_COLS
return df
raise IOError(ct.NETWORK_URL_ERROR_MSG)
def xsg_data(year=None, month=None, retry_count=3, pause=0.001):
"""
获取限售股解禁数据
Parameters
--------
year:年份,默认为当前年
month:解禁月份，默认为当前月
retry_count : int, 默认 3
如遇网络等问题重复执行的次数
pause : int, 默认 0
重复请求数据过程中暂停的秒数，防止请求间隔时间太短出现的问题
Return
------
DataFrame
code:股票代码
name:名称
date:解禁日期
count:解禁数量（万股）
ratio:占总盘比率
"""
year = du.get_year() if year is None else year
month = du.get_month() if month is None else month
for _ in range(retry_count):
time.sleep(pause)
try:
request = Request(rv.XSG_URL %
(ct.P_TYPE['http'], ct.DOMAINS['em'],
ct.PAGES['emxsg'], year, month))
lines = urlopen(request, timeout=10).read()
lines = lines.decode('utf-8') if ct.PY3 else lines
except Exception as e:
print(e)
else:
da = lines[3:len(lines) - 3]
list = []
for row in da.split('","'):
list.append([data for data in row.split(',')])
df = pd.DataFrame(list)
df = df[[1, 3, 4, 5, 6]]
for col in [5, 6]:
df[col] = df[col].astype(float)
df[5] = df[5] / 10000
df[6] = df[6] * 100
df[5] = df[5].map(ct.FORMAT)
df[6] = df[6].map(ct.FORMAT)
df.columns = rv.XSG_COLS
return df
raise IOError(ct.NETWORK_URL_ERROR_MSG)
def xsg_data(year=None, month=None,
retry_count=3, pause=0.001):
"""
获取限售股解禁数据
Parameters
--------
year:年份,默认为当前年
month:解禁月份，默认为当前月
retry_count : int, 默认 3
如遇网络等问题重复执行的次数
pause : int, 默认 0
重复请求数据过程中暂停的秒数，防止请求间隔时间太短出现的问题
Return
------
DataFrame
code:股票代码
name:名称
date:解禁日期
count:解禁数量（万股）
ratio:占总盘比率
"""
year = dt.get_year() if year is None else year
month = dt.get_month() if month is None else month
for _ in range(retry_count):
time.sleep(pause)
try:
with urlopen(rv.XSG_URL%(ct.P_TYPE['http'], ct.DOMAINS['em'],
ct.PAGES['emxsg'], year, month)) as resp:
lines = resp.read()
except _network_error_classes:
pass
else:
da = lines[3:len(lines)-3]
list = []
for row in da.split('","'):
list.append([data for data in row.split(',')])
df = pd.DataFrame(list)
df = df[[1, 3, 4, 5, 6]]
for col in [5, 6]:
df[col] = df[col].astype(float)
df[5] = df[5]/10000
df[6] = df[6]*100
df[5] = df[5].map(ct.FORMAT)
df[6] = df[6].map(ct.FORMAT)
df.columns = rv.XSG_COLS
return df
raise IOError("获取失败，请检查网络和URL")
def xsg_data(year=None, month=None,
retry_count=3, pause=0.001):
"""
获取限售股解禁数据
Parameters
--------
year:年份,默认为当前年
month:解禁月份，默认为当前月
retry_count : int, 默认 3
如遇网络等问题重复执行的次数
pause : int, 默认 0
重复请求数据过程中暂停的秒数，防止请求间隔时间太短出现的问题
Return
------
DataFrame
code:股票代码
name:名称
date:解禁日期
count:解禁数量（万股）
ratio:占总盘比率
"""
year = dt.get_year() if year is None else year
month = dt.get_month() if month is None else month
for _ in range(retry_count):
time.sleep(pause)
try:
with urlopen(rv.XSG_URL%(ct.P_TYPE['http'], ct.DOMAINS['em'],
ct.PAGES['emxsg'], year, month)) as resp:
lines = resp.read()
except _network_error_classes:
pass
else:
da = lines[3:len(lines)-3]
list = []
for row in da.split('","'):
list.append([data for data in row.split(',')])
df = pd.DataFrame(list)
df = df[[1, 3, 4, 5, 6]]
for col in [5, 6]:
df[col] = df[col].astype(float)
df[5] = df[5]/10000
df[6] = df[6]*100
df[5] = df[5].map(ct.FORMAT)
df[6] = df[6].map(ct.FORMAT)
df.columns = rv.XSG_COLS
return df
raise IOError("获取失败，请检查网络和URL")
