def update(self):
lastdate = self.price.iloc[-1].date
lastdatestr = lastdate.strftime("%Y%m%d")
weight = self.price.iloc[1].totvalue
self._updateurl = (
"http://quotes.money.163.com/service/chddata.html?code="
+ self.code
+ "&start="
+ lastdatestr
+ "&end="
+ yesterday()
+ "&fields=TCLOSE"
)
df = pd.read_csv(self._updateurl, encoding="gb2312")
self.name = df.iloc[0].loc["名称"]
if len(df) > 1:
df = df.rename(columns={"收盘价": "totvalue"})
df["date"] = pd.to_datetime(df.日期)
df = df.drop(["股票代码", "名称", "日期"], axis=1)
df["netvalue"] = df.totvalue / weight
df["comment"] = [0 for _ in range(len(df))]
df = df.iloc[::-1].iloc[1:]
df = df[df["date"].isin(opendate)]
df = df.reset_index(drop=True)
df = df[df["date"] <= yesterdayobj()]
self.price = self.price.append(df, ignore_index=True, sort=True)
return df
def __init__(self, code, fetch=False, save=False, path="", form="csv"):
date = yesterday()
self.rate = 0
self._url = (
"http://quotes.money.163.com/service/chddata.html?code="
+ code
+ "&start=19901219&end="
+ date
+ "&fields=TCLOSE"
)
super().__init__(code, fetch=fetch, save=save, path=path, form=form)
def __init__(self,
*codes,
start="20200101",
end=yesterday(),
col="close",
normalize=True):
"""
:param codes: Union[str, tuple], 格式与 :func:`xalpha.universal.get_daily` 相同，若需要汇率转换，需要用 tuple，第二个元素形如 "USD"
:param start: %Y%m%d
:param end: %Y%m%d, default yesterday
:param col: str, default close. The column to be compared.
:param normalize: bool, default True. 是否将对比价格按起点时间归一。
"""
totdf = pd.DataFrame()
codelist = []
for c in codes:
if isinstance(c, tuple):
code = c[0]
currency = c[1]
else:
code = c
currency = "CNY" # 标的不做汇率调整
codelist.append(code)
df = xu.get_daily(code, start=start, end=end)
df = df[df.date.isin(opendate)]
currency_code = _get_currency_code(currency)
if currency_code:
cdf = xu.get_daily(currency_code, start=start, end=end)
cdf = cdf[cdf["date"].isin(opendate)]
df = df.merge(right=cdf, on="date", suffixes=("_x", "_y"))
df[col] = df[col + "_x"] * df[col + "_y"]
if normalize:
df[code] = df[col] / df.iloc[0][col]
else:
df[code] = df[col]
df = df.reset_index()
df = df[["date", code]]
if "date" not in totdf.columns:
totdf = df
else:
totdf = totdf.merge(on="date", right=df)
self.totdf = totdf
self.codes = codelist
def update(self):
lastdate = self.price.iloc[-1].date
lastdatestr = lastdate.strftime('%Y%m%d')
weight = self.price.iloc[1].totvalue
self._updateurl = 'http://quotes.money.163.com/service/chddata.html?code=' + \
self.code + '&start=' + lastdatestr + '&end=' + yesterday() + '&fields=TCLOSE'
df = pd.read_csv(self._updateurl, encoding='gb2312')
self.name = df.iloc[0].loc['名称']
if len(df) > 1:
df = df.rename(columns={'收盘价': 'totvalue'})
df['date'] = pd.to_datetime(df.日期)
df = df.drop(['股票代码', '名称', '日期'], axis=1)
df['netvalue'] = df.totvalue / weight
df['comment'] = [0 for _ in range(len(df))]
df = df.iloc[::-1].iloc[1:]
df = df[df['date'].isin(opendate)]
df = df.reset_index(drop=True)
df = df[df['date'] <= yesterdayobj()]
self.price = self.price.append(df, ignore_index=True, sort=True)
return df
def __init__(self,
code,
value_label=0,
fetch=False,
save=False,
path="",
form="csv"):
date = yesterday()
if code.startswith("SH") and code[2:].isdigit():
code = "0" + code[2:]
elif code.startswith("SZ") and code[2:].isdigit():
code = "1" + code[2:]
self.rate = 0
self._url = ("http://quotes.money.163.com/service/chddata.html?code=" +
code + "&start=19901219&end=" + date + "&fields=TCLOSE")
super().__init__(code,
value_label=value_label,
fetch=fetch,
save=save,
path=path,
form=form)
def __init__(self, code, fetch=False, save=False, path='', form='csv'):
date = yesterday()
self.rate = 0
self._url = 'http://quotes.money.163.com/service/chddata.html?code=' + code + '&start=19901219&end=' + date + '&fields=TCLOSE'
super().__init__(code, fetch=fetch, save=save, path=path, form=form)
