diff --git a/pandas/core/indexes/datetimes.py b/pandas/core/indexes/datetimes.py
index 491fefe8efee0..b9c4b59536d0c 100644
--- a/pandas/core/indexes/datetimes.py
+++ b/pandas/core/indexes/datetimes.py
@@ -2204,29 +2204,30 @@ def _generate_regular_range(start, end, periods, offset):
 def date_range(start=None, end=None, periods=None, freq='D', tz=None,
                normalize=False, name=None, closed=None, **kwargs):
     """
-    Return a fixed frequency DatetimeIndex, with day (calendar) as the default
-    frequency
+    Return a fixed frequency DatetimeIndex.
+
+    The default frequency is day (calendar).
 
     Parameters
     ----------
     start : string or datetime-like, default None
-        Left bound for generating dates
+        Left bound for generating dates.
     end : string or datetime-like, default None
-        Right bound for generating dates
+        Right bound for generating dates.
     periods : integer, default None
-        Number of periods to generate
+        Number of periods to generate.
     freq : string or DateOffset, default 'D' (calendar daily)
-        Frequency strings can have multiples, e.g. '5H'
+        Frequency strings can have multiples, e.g. '5H'.
     tz : string, default None
         Time zone name for returning localized DatetimeIndex, for example
-        Asia/Hong_Kong
+        Asia/Hong_Kong.
     normalize : bool, default False
-        Normalize start/end dates to midnight before generating date range
+        Normalize start/end dates to midnight before generating date range.
     name : string, default None
-        Name of the resulting DatetimeIndex
+        Name of the resulting DatetimeIndex.
     closed : string, default None
         Make the interval closed with respect to the given frequency to
-        the 'left', 'right', or both sides (None)
+        the 'left', 'right', or both sides (None).
 
     Notes
     -----
@@ -2239,6 +2240,22 @@ def date_range(start=None, end=None, periods=None, freq='D', tz=None,
     Returns
     -------
     rng : DatetimeIndex
+
+    See Also
+    --------
+    pandas.period_range : Return a fixed frequency PeriodIndex.
+    pandas.interval_range : Return a fixed frequency IntervalIndex.
+
+    Examples
+    --------
+    >>> pd.date_range('2018-10-03', periods=2) # doctest: +NORMALIZE_WHITESPACE
+    DatetimeIndex(['2018-10-03', '2018-10-04'], dtype='datetime64[ns]',
+                   freq='D')
+
+    >>> pd.date_range(start='2018-01-01', end='20180103')
+    ... # doctest: +NORMALIZE_WHITESPACE
+    DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03'],
+                    dtype='datetime64[ns]', freq='D')
     """
     return DatetimeIndex(start=start, end=end, periods=periods,
                          freq=freq, tz=tz, normalize=normalize, name=name,