def _read(self):
if not is_list_like(self.symbols):
names = [self.symbols]
else:
names = self.symbols
urls = ["{}?id={}".format(self.url, n) for n in names]
def fetch_data(url, name):
"""Utillity to fetch data"""
resp = self._read_url_as_StringIO(url)
data = read_csv(resp,
index_col=0,
parse_dates=True,
header=None,
skiprows=1,
names=["DATE", name],
na_values='.')
try:
return data.truncate(self.start, self.end)
except KeyError: # pragma: no cover
if data.iloc[3].name[7:12] == 'Error':
raise IOError("Failed to get the data. Check that "
"{0!r} is a valid FRED series.".format(name))
raise
df = concat([fetch_data(url, n) for url, n in zip(urls, names)],
axis=1,
join='outer')
return df
def __init__(self, *args, **kwargs):
super(MoexReader, self).__init__(*args, **kwargs)
self.start = self.start.date()
self.end_dt = self.end
self.end = self.end.date()
if not is_list_like(self.symbols):
self.symbols = [self.symbols]
self.__engines, self.__markets = {}, {
} # dicts for engines and markets
def __init__(self, *args, **kwargs):
super(MoexReader, self).__init__(*args, **kwargs)
self.start = self.start.date()
self.end_dt = self.end
self.end = self.end.date()
if isinstance(self.symbols, pd.DataFrame):
self.symbols = self.symbols.index.tolist()
elif not is_list_like(self.symbols):
self.symbols = [self.symbols]
self.__markets_n_engines = {} # dicts for tuples of engines and markets
