DOC: Add reference to frequency strings in docs

Author: sahildua2305

pandas/core/window.py

@@ -313,7 +313,8 @@ class Window(_Window):
     * ``general_gaussian`` (needs power, width)
     * ``slepian`` (needs width).
 
-    To know more about the frequency strings, please visit this link - http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases.
+    To know more about the frequency strings (offset aliases), please visit this
+    link - http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases.
 """
 
     def validate(self):

pandas/stats/moments.py

@@ -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 know more about the frequency strings (offset aliases), please visit this
+    link - http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases.
     """
     return ensure_compat('rolling', 'count', arg, window=window, **kwargs)
 
@@ -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 know more about the frequency strings (offset aliases), please visit this
+    link - http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases.
     """
     return ensure_compat('rolling',
                          'quantile',
@@ -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 know more about the frequency strings (offset aliases), please visit this
+    link - http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases.
     """
     return ensure_compat('rolling',
                          'apply',
@@ -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 know more about the frequency strings (offset aliases), please visit this
+    link - http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases.
     """
     func = 'mean' if mean else 'sum'
     return ensure_compat('rolling',
@@ -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 know more about the frequency strings (offset aliases), please visit this
+    link - http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases.
     """
     return ensure_compat('expanding', 'count', arg, freq=freq)
 
@@ -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 know more about the frequency strings (offset aliases), please visit this
+    link - http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases.
     """
     return ensure_compat('expanding',
                          'quantile',
@@ -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 know more about the frequency strings (offset aliases), please visit this
+    link - http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases.
     """
     return ensure_compat('expanding',
                          'apply',

pandas/tseries/index.py

@@ -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 know more about the frequency strings (offset aliases), please visit this
+    link - http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases.
     """
 
     _typ = 'datetimeindex'
@@ -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 know more about the frequency strings (offset aliases), please visit this
+    link - http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases.
+
     Returns
     -------
     rng : DatetimeIndex
@@ -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 know more about the frequency strings (offset aliases), please visit this
+    link - http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases.
+
     Returns
     -------
     rng : DatetimeIndex
@@ -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 know more about the frequency strings (offset aliases), please visit this
+    link - http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases.
+
     Returns
     -------
     rng : DatetimeIndex

pandas/tseries/tdi.py

@@ -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 know more about the frequency strings (offset aliases), please visit this
+    link - http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases.
     """
 
     _typ = 'timedeltaindex'
@@ -1001,6 +1004,9 @@ def timedelta_range(start=None, end=None, periods=None, freq='D',
     Returns
     -------
     rng : TimedeltaIndex
+
+    To know more about the frequency strings (offset aliases), please visit 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,