Merge pull request pandas-dev#9819 from jorisvandenbossche/doc-things

DOC: fix some various doc warnings

Author: jorisvandenbossche

doc/source/r_interface.rst

@@ -56,6 +56,7 @@ appropriate pandas object (most likely a DataFrame):
 
 
 .. ipython:: python
+   :okwarning:
 
    import pandas.rpy.common as com
    infert = com.load_data('infert')

pandas/core/strings.py

@@ -769,12 +769,14 @@ def str_rstrip(arr, to_strip=None):
 
 
 def str_wrap(arr, width, **kwargs):
-    """
-    Wrap long strings to be formatted in paragraphs
+    r"""
+    Wrap long strings to be formatted in paragraphs.
+
+    This method has the same keyword parameters and defaults as
+    :class:`textwrap.TextWrapper`.
 
     Parameters
     ----------
-    Same keyword parameters and defaults as :class:`textwrap.TextWrapper`
     width : int
         Maximum line-width
     expand_tabs : bool, optional
@@ -806,11 +808,11 @@ def str_wrap(arr, width, **kwargs):
     settings. To achieve behavior matching R's stringr library str_wrap function, use
     the arguments:
 
-        expand_tabs = False
-        replace_whitespace = True
-        drop_whitespace = True
-        break_long_words = False
-        break_on_hyphens = False
+    - expand_tabs = False
+    - replace_whitespace = True
+    - drop_whitespace = True
+    - break_long_words = False
+    - break_on_hyphens = False
 
     Examples
     --------

pandas/tseries/tools.py

@@ -210,10 +210,13 @@ def to_datetime(arg, errors='ignore', dayfirst=False, utc=None, box=True,
 
     Returns
     -------
-    ret : datetime if parsing succeeded. Return type depends on input:
+    ret : datetime if parsing succeeded.
+        Return type depends on input:
+
         - list-like: DatetimeIndex
         - Series: Series of datetime64 dtype
         - scalar: Timestamp
+
         In case when it is not possible to return designated types (e.g. when
         any element of input is before Timestamp.min or after Timestamp.max)
         return will have datetime.datetime type (or correspoding array/Series).