def _get_range_edges(first, last, offset, closed='left', base=0):
if isinstance(offset, compat.string_types):
offset = to_offset(offset)
if isinstance(offset, Tick):
is_day = isinstance(offset, Day)
day_nanos = _delta_to_nanoseconds(timedelta(1))
# #1165
if (is_day and day_nanos % offset.nanos == 0) or not is_day:
return _adjust_dates_anchored(first,
last,
offset,
closed=closed,
base=base)
if not isinstance(offset, Tick): # and first.time() != last.time():
# hack!
first = first.normalize()
last = last.normalize()
if closed == 'left':
first = Timestamp(offset.rollback(first))
else:
first = Timestamp(first - offset)
last = Timestamp(last + offset)
return first, last
def _get_range_edges(axis, offset, closed='left', base=0):
if isinstance(offset, basestring):
offset = to_offset(offset)
if isinstance(offset, Tick):
day_nanos = _delta_to_nanoseconds(timedelta(1))
# #1165
if (day_nanos % offset.nanos) == 0:
return _adjust_dates_anchored(axis[0],
axis[-1],
offset,
closed=closed,
base=base)
first, last = axis[0], axis[-1]
if not isinstance(offset, Tick): # and first.time() != last.time():
# hack!
first = tools.normalize_date(first)
last = tools.normalize_date(last)
if closed == 'left':
first = Timestamp(offset.rollback(first))
else:
first = Timestamp(first - offset)
last = Timestamp(last + offset)
return first, last
def _add_delta(self, delta):
if isinstance(delta, (Tick, timedelta)):
inc = offsets._delta_to_nanoseconds(delta)
new_values = (self.asi8 + inc).view(_NS_DTYPE)
else:
new_values = self.astype('O') + delta
return DatetimeIndex(new_values, tz=self.tz, freq='infer')
def _get_range_edges(axis, begin, end, offset, closed='left',
base=0):
from pandas.tseries.offsets import Tick, _delta_to_nanoseconds
if isinstance(offset, basestring):
offset = to_offset(offset)
if not isinstance(offset, DateOffset):
raise ValueError("Rule not a recognized offset")
if isinstance(offset, Tick):
day_nanos = _delta_to_nanoseconds(timedelta(1))
# #1165
if ((day_nanos % offset.nanos) == 0 and begin is None
and end is None):
return _adjust_dates_anchored(axis[0], axis[-1], offset,
closed=closed, base=base)
if begin is None:
if closed == 'left':
first = Timestamp(offset.rollback(axis[0]))
else:
first = Timestamp(axis[0] - offset)
else:
first = Timestamp(offset.rollback(begin))
if end is None:
last = Timestamp(axis[-1] + offset)
else:
last = Timestamp(offset.rollforward(end))
return first, last
def _get_range_edges(axis, offset, closed='left', base=0):
if isinstance(offset, basestring):
offset = to_offset(offset)
if isinstance(offset, Tick):
day_nanos = _delta_to_nanoseconds(timedelta(1))
# #1165
if (day_nanos % offset.nanos) == 0:
return _adjust_dates_anchored(axis[0], axis[-1], offset,
closed=closed, base=base)
first, last = axis[0], axis[-1]
if not isinstance(offset, Tick): # and first.time() != last.time():
# hack!
first = tools.normalize_date(first)
last = tools.normalize_date(last)
if closed == 'left':
first = Timestamp(offset.rollback(first))
else:
first = Timestamp(first - offset)
last = Timestamp(last + offset)
return first, last
def _get_range_edges(first, last, offset, closed='left', base=0):
if isinstance(offset, compat.string_types):
offset = to_offset(offset)
if isinstance(offset, Tick):
is_day = isinstance(offset, Day)
day_nanos = _delta_to_nanoseconds(timedelta(1))
# #1165
if (is_day and day_nanos % offset.nanos == 0) or not is_day:
return _adjust_dates_anchored(first, last, offset,
closed=closed, base=base)
if not isinstance(offset, Tick): # and first.time() != last.time():
# hack!
first = first.normalize()
last = last.normalize()
if closed == 'left':
first = Timestamp(offset.rollback(first))
else:
first = Timestamp(first - offset)
last = Timestamp(last + offset)
return first, last
def _add_delta(self, delta):
if isinstance(delta, (Tick, timedelta)):
inc = offsets._delta_to_nanoseconds(delta)
new_values = (self.asi8 + inc).view("M8[ns]")
else:
new_values = self.astype("O") + delta
return DatetimeIndex(new_values, tz=self.tz, freq="infer")
def _add_delta(self, delta):
if isinstance(delta, (Tick, timedelta)):
inc = offsets._delta_to_nanoseconds(delta)
new_values = (self.asi8 + inc).view(_NS_DTYPE)
else:
new_values = self.astype('O') + delta
return DatetimeIndex(new_values, tz=self.tz, freq='infer')
def _get_range_edges(axis, begin, end, offset, closed='left', base=0):
if isinstance(offset, basestring):
offset = to_offset(offset)
if not isinstance(offset, DateOffset):
raise ValueError("Rule not a recognized offset")
if isinstance(offset, Tick):
day_nanos = _delta_to_nanoseconds(timedelta(1))
# #1165
if ((day_nanos % offset.nanos) == 0 and begin is None and end is None):
return _adjust_dates_anchored(axis[0],
axis[-1],
offset,
closed=closed,
base=base)
if begin is None:
if closed == 'left':
first = Timestamp(offset.rollback(axis[0]))
else:
first = Timestamp(axis[0] - offset)
else:
first = Timestamp(offset.rollback(begin))
if end is None:
last = Timestamp(axis[-1] + offset)
else:
last = Timestamp(offset.rollforward(end))
return first, last
def _get_time_bins(self, axis):
assert (isinstance(axis, DatetimeIndex))
if len(axis) == 0:
binner = labels = DatetimeIndex(data=[], freq=self.freq)
return binner, [], labels
first, last = _get_range_edges(axis,
self.begin,
self.end,
self.freq,
closed=self.closed,
base=self.base)
binner = labels = DatetimeIndex(freq=self.freq, start=first, end=last)
# a little hack
trimmed = False
if len(binner) > 2 and binner[-2] == axis[-1]:
binner = binner[:-1]
trimmed = True
ax_values = axis.asi8
bin_edges = binner.asi8
# Some hacks for > daily data, see #1471, #1458
if self.freq != 'D' and is_superperiod(self.freq, 'D'):
day_nanos = _delta_to_nanoseconds(timedelta(1))
if self.closed == 'right':
bin_edges = bin_edges + day_nanos - 1
else:
bin_edges = bin_edges + day_nanos
# intraday values on last day
if bin_edges[-2] > ax_values[-1]:
bin_edges = bin_edges[:-1]
binner = binner[:-1]
# general version, knowing nothing about relative frequencies
bins = lib.generate_bins_dt64(ax_values, bin_edges, self.closed)
if self.closed == 'right':
labels = binner
if self.label == 'right':
labels = labels[1:]
elif not trimmed:
labels = labels[:-1]
else:
if self.label == 'right':
labels = labels[1:]
elif not trimmed:
labels = labels[:-1]
return binner, bins, labels
def _get_time_bins(self, axis):
assert(isinstance(axis, DatetimeIndex))
if len(axis) == 0:
binner = labels = DatetimeIndex(data=[], freq=self.freq)
return binner, [], labels
first, last = _get_range_edges(axis, self.begin, self.end, self.freq,
closed=self.closed, base=self.base)
binner = labels = DatetimeIndex(freq=self.freq, start=first, end=last)
# a little hack
trimmed = False
if len(binner) > 2 and binner[-2] == axis[-1]:
binner = binner[:-1]
trimmed = True
ax_values = axis.asi8
bin_edges = binner.asi8
# Some hacks for > daily data, see #1471, #1458
if self.freq != 'D' and is_superperiod(self.freq, 'D'):
day_nanos = _delta_to_nanoseconds(timedelta(1))
if self.closed == 'right':
bin_edges = bin_edges + day_nanos - 1
else:
bin_edges = bin_edges + day_nanos
# intraday values on last day
if bin_edges[-2] > ax_values[-1]:
bin_edges = bin_edges[:-1]
binner = binner[:-1]
# general version, knowing nothing about relative frequencies
bins = lib.generate_bins_dt64(ax_values, bin_edges, self.closed)
if self.closed == 'right':
labels = binner
if self.label == 'right':
labels = labels[1:]
elif not trimmed:
labels = labels[:-1]
else:
if self.label == 'right':
labels = labels[1:]
elif not trimmed:
labels = labels[:-1]
return binner, bins, labels
def _adjust_bin_edges(self, binner, ax_values):
# Some hacks for > daily data, see #1471, #1458, #1483
bin_edges = binner.asi8
if self.freq != 'D' and is_superperiod(self.freq, 'D'):
day_nanos = _delta_to_nanoseconds(timedelta(1))
if self.closed == 'right':
bin_edges = bin_edges + day_nanos - 1
# intraday values on last day
if bin_edges[-2] > ax_values.max():
bin_edges = bin_edges[:-1]
binner = binner[:-1]
return binner, bin_edges
def _adjust_bin_edges(self, binner, ax_values):
# Some hacks for > daily data, see #1471, #1458, #1483
bin_edges = binner.asi8
if self.freq != 'D' and is_superperiod(self.freq, 'D'):
day_nanos = _delta_to_nanoseconds(timedelta(1))
if self.closed == 'right':
bin_edges = bin_edges + day_nanos - 1
# intraday values on last day
if bin_edges[-2] > ax_values[-1]:
bin_edges = bin_edges[:-1]
binner = binner[:-1]
return binner, bin_edges
def _get_range_edges(axis, offset, closed="left", base=0):
if isinstance(offset, basestring):
offset = to_offset(offset)
if isinstance(offset, Tick):
day_nanos = _delta_to_nanoseconds(timedelta(1))
# #1165
if (day_nanos % offset.nanos) == 0:
return _adjust_dates_anchored(axis[0], axis[-1], offset, closed=closed, base=base)
if closed == "left":
first = Timestamp(offset.rollback(axis[0]))
else:
first = Timestamp(axis[0] - offset)
last = Timestamp(axis[-1] + offset)
return first, last
def _get_range_edges(axis, offset, closed='left', base=0):
if isinstance(offset, basestring):
offset = to_offset(offset)
if isinstance(offset, Tick):
day_nanos = _delta_to_nanoseconds(timedelta(1))
# #1165
if (day_nanos % offset.nanos) == 0:
return _adjust_dates_anchored(axis[0],
axis[-1],
offset,
closed=closed,
base=base)
if closed == 'left':
first = Timestamp(offset.rollback(axis[0]))
else:
first = Timestamp(axis[0] - offset)
last = Timestamp(axis[-1] + offset)
return first, last
