code stringlengths 3 6.57k |
|---|
new_obj.__finalize__(self) |
string (e.g. 'EOM') |
self._get_axis(axis) |
getattr(index, "freq", None) |
getattr(index, "inferred_freq", None) |
ValueError(msg) |
isinstance(freq, str) |
to_offset(freq) |
self._get_block_manager_axis(axis) |
isinstance(index, PeriodIndex) |
to_offset(index.freq) |
self._data.copy() |
index.shift(periods) |
self._data.copy() |
index.shift(periods, freq) |
self._constructor(new_data) |
__finalize__(self) |
index (rows) |
df.truncate(before=2, after=4) |
df.truncate(before="A", after="B", axis="columns") |
truncate(before=2, after=4) |
pd.date_range('2016-01-01', '2016-02-01', freq='s') |
pd.DataFrame(index=dates, data={'A': 1}) |
df.tail() |
df.truncate(before=pd.Timestamp('2016-01-05') |
pd.Timestamp('2016-01-10') |
tail() |
df.truncate('2016-01-05', '2016-01-10') |
tail() |
component (midnight) |
tail() |
self._get_axis_number(axis) |
self._get_axis(axis) |
ValueError("truncate requires a sorted index") |
to_datetime(before) |
to_datetime(after) |
ValueError(f"Truncate: {after} must be after {before}") |
slice(None, None) |
slice(before, after) |
tuple(slicer) |
isinstance(ax, MultiIndex) |
setattr(result, self._get_axis_name(axis) |
ax.truncate(before, after) |
result.copy() |
self._get_axis_number(axis) |
self._get_axis(axis) |
_tz_convert(ax, tz) |
hasattr(ax, "tz_convert") |
len(ax) |
self._get_axis_name(axis) |
DatetimeIndex([], tz=tz) |
ax.tz_convert(tz) |
isinstance(ax, MultiIndex) |
ax._get_level_number(level) |
_tz_convert(ax.levels[level], tz) |
ax.set_levels(new_level, level=level) |
in (None, 0, ax.name) |
ValueError(f"The level {level} is not valid") |
_tz_convert(ax, tz) |
self._constructor(self._data, copy=copy) |
result.set_axis(ax, axis=axis, inplace=False) |
result.__finalize__(self) |
Time (UTC+01) |
pd.DatetimeIndex(['2018-09-15 01:30:00']) |
s.tz_localize('CET') |
pd.Series(range(7) |
s.tz_localize('CET', ambiguous='infer') |
pd.Series(range(3) |
s.tz_localize('CET', ambiguous=np.array([True, True, False]) |
pd.Series(range(2) |
s.tz_localize('Europe/Warsaw', nonexistent='shift_forward') |
s.tz_localize('Europe/Warsaw', nonexistent='shift_backward') |
s.tz_localize('Europe/Warsaw', nonexistent=pd.Timedelta('1H') |
self._get_axis_number(axis) |
self._get_axis(axis) |
_tz_localize(ax, tz, ambiguous, nonexistent) |
hasattr(ax, "tz_localize") |
len(ax) |
self._get_axis_name(axis) |
DatetimeIndex([], tz=tz) |
ax.tz_localize(tz, ambiguous=ambiguous, nonexistent=nonexistent) |
isinstance(ax, MultiIndex) |
ax._get_level_number(level) |
_tz_localize(ax.levels[level], tz, ambiguous, nonexistent) |
ax.set_levels(new_level, level=level) |
in (None, 0, ax.name) |
ValueError(f"The level {level} is not valid") |
_tz_localize(ax, tz, ambiguous, nonexistent) |
self._constructor(self._data, copy=copy) |
result.set_axis(ax, axis=axis, inplace=False) |
result.__finalize__(self) |
abs(self: FrameOrSeries) |
pd.Series([-1.10, 2, -3.33, 4]) |
s.abs() |
pd.Series([1.2 + 1j]) |
s.abs() |
pd.Series([pd.Timedelta('1 days') |
s.abs() |
abs() |
argsort() |
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