def get_value(self, series, key):
"""
Fast lookup of value from 1-dimensional ndarray. Only use this if you
know what you're doing
"""
if is_integer(key):
return series.iat[key]
if isinstance(key, str):
asdt, reso = parse_time_string(key, self.freq)
grp = resolution.Resolution.get_freq_group(reso)
freqn = resolution.get_freq_group(self.freq)
vals = self._ndarray_values
# if our data is higher resolution than requested key, slice
if grp < freqn:
iv = Period(asdt, freq=(grp, 1))
ord1 = iv.asfreq(self.freq, how="S").ordinal
ord2 = iv.asfreq(self.freq, how="E").ordinal
if ord2 < vals[0] or ord1 > vals[-1]:
raise KeyError(key)
pos = np.searchsorted(self._ndarray_values, [ord1, ord2])
key = slice(pos[0], pos[1] + 1)
return series[key]
elif grp == freqn:
key = Period(asdt, freq=self.freq)
loc = self.get_loc(key)
return series.iloc[loc]
else:
raise KeyError(key)
elif isinstance(key, Period) or key is NaT:
ordinal = key.ordinal if key is not NaT else NaT.value
loc = self._engine.get_loc(ordinal)
return series[loc]
# slice, PeriodIndex, np.ndarray, List[Period]
value = Index.get_value(self, series, key)
return com.maybe_box(self, value, series, key)
def get_value(self, series, key):
"""
Fast lookup of value from 1-dimensional ndarray. Only use this if you
know what you're doing
"""
if is_integer(key):
return series.iat[key]
if isinstance(key, str):
try:
loc = self._get_string_slice(key)
return series[loc]
except (TypeError, ValueError):
pass
asdt, reso = parse_time_string(key, self.freq)
grp = resolution.Resolution.get_freq_group(reso)
freqn = resolution.get_freq_group(self.freq)
# _get_string_slice will handle cases where grp < freqn
assert grp >= freqn
if grp == freqn:
key = Period(asdt, freq=self.freq)
loc = self.get_loc(key)
return series.iloc[loc]
else:
raise KeyError(key)
elif isinstance(key, Period) or key is NaT:
ordinal = key.ordinal if key is not NaT else NaT.value
loc = self._engine.get_loc(ordinal)
return series[loc]
# slice, PeriodIndex, np.ndarray, List[Period]
value = Index.get_value(self, series, key)
return com.maybe_box(self, value, series, key)
