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pandas/core/generic.py

+2-2
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@@ -7510,8 +7510,8 @@ def asfreq(
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Notes
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-----
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To learn more about the frequency strings, please see this link:
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:ref:`Timeseries <timeseries.offset_aliases>`
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To learn more about the frequency strings, please see `this link
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<https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
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Examples
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--------

pandas/core/groupby/grouper.py

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@@ -53,8 +53,8 @@ class Grouper:
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freq : str / frequency object, defaults to None
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This will groupby the specified frequency if the target selection
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(via key or level) is a datetime-like object. For full specification
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of available frequencies, please see here:
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:ref:`Timeseries <timeseries.offset_aliases>`
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of available frequencies, please see `here
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<https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`_.
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axis : str, int, defaults to 0
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Number/name of the axis.
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sort : bool, default to False

pandas/core/indexes/datetimes.py

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@@ -183,8 +183,8 @@ class DatetimeIndex(DatetimeTimedeltaMixin):
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Notes
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-----
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To learn more about the frequency strings, please see
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:ref:`Timeseries <timeseries.offset_aliases>`
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To learn more about the frequency strings, please see `this link
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<https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
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"""
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_typ = "datetimeindex"
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``DatetimeIndex`` will have ``periods`` linearly spaced elements between
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``start`` and ``end`` (closed on both sides).
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To learn more about the frequency strings, please see
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:ref:`Timeseries <timeseries.offset_aliases>`
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To learn more about the frequency strings, please see `this link
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<https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
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Examples
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--------
@@ -1026,8 +1026,8 @@ def bdate_range(
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for ``bdate_range``. Use ``date_range`` if specifying ``freq`` is not
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desired.
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To learn more about the frequency strings, please see
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:ref:`Timeseries <timeseries.offset_aliases>`
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To learn more about the frequency strings, please see `this link
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<https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
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Examples
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--------

pandas/core/indexes/interval.py

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@@ -1196,8 +1196,8 @@ def interval_range(
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``IntervalIndex`` will have ``periods`` linearly spaced elements between
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``start`` and ``end``, inclusively.
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To learn more about datetime-like frequency strings, please see this link
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:ref:`Timeseries <timeseries.offset_aliases>`
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To learn more about datetime-like frequency strings, please see `this link
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<https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
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Examples
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--------

pandas/core/indexes/period.py

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@@ -758,8 +758,8 @@ def period_range(
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Of the three parameters: ``start``, ``end``, and ``periods``, exactly two
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must be specified.
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To learn more about the frequency strings, please see this link
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:ref:`Timeseries <timeseries.offset_aliases>`
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To learn more about the frequency strings, please see `this link
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<https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
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Examples
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--------

pandas/core/indexes/timedeltas.py

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@@ -109,8 +109,8 @@ class TimedeltaIndex(DatetimeTimedeltaMixin, dtl.TimelikeOps):
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Notes
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-----
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To learn more about the frequency strings, please see this link
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:ref:`Timeseries <timeseries.offset_aliases>`
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To learn more about the frequency strings, please see `this link
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<https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
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"""
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_typ = "timedeltaindex"
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``TimedeltaIndex`` will have ``periods`` linearly spaced elements between
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``start`` and ``end`` (closed on both sides).
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To learn more about the frequency strings, please see this link
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:ref:`Timeseries <timeseries.offset_aliases>`
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To learn more about the frequency strings, please see `this link
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<https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
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Examples
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--------

pandas/core/window/rolling.py

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@@ -819,8 +819,8 @@ class Window(_Window):
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By default, the result is set to the right edge of the window. This can be
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changed to the center of the window by setting ``center=True``.
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To learn more about the offsets & frequency strings, please see this link
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:ref:`Timeseries <timeseries.offset_aliases>`
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To learn more about the offsets & frequency strings, please see `this link
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<https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
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The recognized win_types are:
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