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DOC: Add reference to frequency strings #13632

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02c44bb
Add reference to frequency strings; fixes #13160
sahildua2305 Jul 12, 2016
7b7045a
DOC: Add reference to frequency strings in docs
sahildua2305 Jul 12, 2016
fff5da7
Fix links and text for reference
sahildua2305 Jul 13, 2016
b45ae21
DOC: Add learn more text in generic and removed from window
sahildua2305 Jul 16, 2016
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13 changes: 8 additions & 5 deletions doc/source/timeseries.rst
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Expand Up @@ -567,11 +567,11 @@ DateOffset objects
------------------

In the preceding examples, we created DatetimeIndex objects at various
frequencies by passing in frequency strings like 'M', 'W', and 'BM to the
``freq`` keyword. Under the hood, these frequency strings are being translated
into an instance of pandas ``DateOffset``, which represents a regular
frequency increment. Specific offset logic like "month", "business day", or
"one hour" is represented in its various subclasses.
frequencies by passing in :ref:`frequency strings <timeseries.offset_aliases>`
like 'M', 'W', and 'BM to the ``freq`` keyword. Under the hood, these frequency
strings are being translated into an instance of pandas ``DateOffset``,
which represents a regular frequency increment. Specific offset logic like
"month", "business day", or "one hour" is represented in its various subclasses.

.. csv-table::
:header: "Class name", "Description"
Expand Down Expand Up @@ -953,6 +953,9 @@ You can use keyword arguments suported by either ``BusinessHour`` and ``CustomBu
# Monday is skipped because it's a holiday, business hour starts from 10:00
dt + bhour_mon * 2


.. _timeseries.offset_aliases:

Offset Aliases
~~~~~~~~~~~~~~

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6 changes: 6 additions & 0 deletions pandas/core/generic.py
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Expand Up @@ -3938,6 +3938,9 @@ def asfreq(self, freq, method=None, how=None, normalize=False):
Returns
-------
converted : type of caller

To learn more about the frequency strings, please see `this link
<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
"""
from pandas.tseries.resample import asfreq
return asfreq(self, freq, method=method, how=how, normalize=normalize)
Expand Down Expand Up @@ -4009,6 +4012,9 @@ def resample(self, rule, how=None, axis=0, fill_method=None, closed=None,
range from 0 through 4. Defaults to 0


To learn more about the offset strings, please see `this link
<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.

Examples
--------

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21 changes: 21 additions & 0 deletions pandas/stats/moments.py
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Expand Up @@ -271,6 +271,9 @@ def rolling_count(arg, window, **kwargs):
The `freq` keyword is used to conform time series data to a specified
frequency by resampling the data. This is done with the default parameters
of :meth:`~pandas.Series.resample` (i.e. using the `mean`).

To learn more about the frequency strings, please see `this link
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these are all deprecated, but ok I guess.

<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
"""
return ensure_compat('rolling', 'count', arg, window=window, **kwargs)

Expand Down Expand Up @@ -521,6 +524,9 @@ def rolling_quantile(arg, window, quantile, min_periods=None, freq=None,
The `freq` keyword is used to conform time series data to a specified
frequency by resampling the data. This is done with the default parameters
of :meth:`~pandas.Series.resample` (i.e. using the `mean`).

To learn more about the frequency strings, please see `this link
<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
"""
return ensure_compat('rolling',
'quantile',
Expand Down Expand Up @@ -570,6 +576,9 @@ def rolling_apply(arg, window, func, min_periods=None, freq=None,
The `freq` keyword is used to conform time series data to a specified
frequency by resampling the data. This is done with the default parameters
of :meth:`~pandas.Series.resample` (i.e. using the `mean`).

To learn more about the frequency strings, please see `this link
<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
"""
return ensure_compat('rolling',
'apply',
Expand Down Expand Up @@ -642,6 +651,9 @@ def rolling_window(arg, window=None, win_type=None, min_periods=None,
The `freq` keyword is used to conform time series data to a specified
frequency by resampling the data. This is done with the default parameters
of :meth:`~pandas.Series.resample` (i.e. using the `mean`).

To learn more about the frequency strings, please see `this link
<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
"""
func = 'mean' if mean else 'sum'
return ensure_compat('rolling',
Expand Down Expand Up @@ -707,6 +719,9 @@ def expanding_count(arg, freq=None):
The `freq` keyword is used to conform time series data to a specified
frequency by resampling the data. This is done with the default parameters
of :meth:`~pandas.Series.resample` (i.e. using the `mean`).

To learn more about the frequency strings, please see `this link
<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
"""
return ensure_compat('expanding', 'count', arg, freq=freq)

Expand Down Expand Up @@ -735,6 +750,9 @@ def expanding_quantile(arg, quantile, min_periods=1, freq=None):
The `freq` keyword is used to conform time series data to a specified
frequency by resampling the data. This is done with the default parameters
of :meth:`~pandas.Series.resample` (i.e. using the `mean`).

To learn more about the frequency strings, please see `this link
<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
"""
return ensure_compat('expanding',
'quantile',
Expand Down Expand Up @@ -818,6 +836,9 @@ def expanding_apply(arg, func, min_periods=1, freq=None,
The `freq` keyword is used to conform time series data to a specified
frequency by resampling the data. This is done with the default parameters
of :meth:`~pandas.Series.resample` (i.e. using the `mean`).

To learn more about the frequency strings, please see `this link
<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
"""
return ensure_compat('expanding',
'apply',
Expand Down
12 changes: 12 additions & 0 deletions pandas/tseries/index.py
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Expand Up @@ -178,6 +178,9 @@ class DatetimeIndex(DatelikeOps, TimelikeOps, DatetimeIndexOpsMixin,
Attempt to infer fall dst-transition hours based on order
name : object
Name to be stored in the index

To learn more about the frequency strings, please see `this link
<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
"""

_typ = 'datetimeindex'
Expand Down Expand Up @@ -2071,6 +2074,9 @@ def date_range(start=None, end=None, periods=None, freq='D', tz=None,
-----
2 of start, end, or periods must be specified

To learn more about the frequency strings, please see `this link
<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.

Returns
-------
rng : DatetimeIndex
Expand Down Expand Up @@ -2111,6 +2117,9 @@ def bdate_range(start=None, end=None, periods=None, freq='B', tz=None,
-----
2 of start, end, or periods must be specified

To learn more about the frequency strings, please see `this link
<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.

Returns
-------
rng : DatetimeIndex
Expand Down Expand Up @@ -2162,6 +2171,9 @@ def cdate_range(start=None, end=None, periods=None, freq='C', tz=None,
-----
2 of start, end, or periods must be specified

To learn more about the frequency strings, please see `this link
<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.

Returns
-------
rng : DatetimeIndex
Expand Down
6 changes: 6 additions & 0 deletions pandas/tseries/tdi.py
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Expand Up @@ -101,6 +101,9 @@ class TimedeltaIndex(DatetimeIndexOpsMixin, TimelikeOps, Int64Index):
the 'left', 'right', or both sides (None)
name : object
Name to be stored in the index

To learn more about the frequency strings, please see `this link
<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
"""

_typ = 'timedeltaindex'
Expand Down Expand Up @@ -1001,6 +1004,9 @@ def timedelta_range(start=None, end=None, periods=None, freq='D',
Returns
-------
rng : TimedeltaIndex

To learn more about the frequency strings, please see `this link
<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
"""
return TimedeltaIndex(start=start, end=end, periods=periods,
freq=freq, name=name,
Expand Down