Docstring GL01 GL02 fixes

pandas/core/accessor.py

@@ -196,7 +196,7 @@ def decorator(accessor):
     return decorator
 
 
-_doc = """\
+_doc = """
 Register a custom accessor on %(klass)s objects.
 
 Parameters

pandas/core/arrays/categorical.py

@@ -196,7 +196,7 @@ def contains(cat, key, container):
         return any(loc_ in container for loc_ in loc)
 
 
-_codes_doc = """\
+_codes_doc = """
 The category codes of this categorical.
 
 Level codes are an array if integer which are the positions of the real

pandas/core/arrays/interval.py

@@ -987,7 +987,7 @@ def __array__(self, dtype=None):
                 result[i] = Interval(left[i], right[i], closed)
         return result
 
-    _interval_shared_docs['to_tuples'] = """\
+    _interval_shared_docs['to_tuples'] = """
         Return an %(return_type)s of tuples of the form (left, right)
 
         Parameters
@@ -1002,7 +1002,7 @@ def __array__(self, dtype=None):
         -------
         tuples: %(return_type)s
         %(examples)s\
-    """
+        """
 
     @Appender(_interval_shared_docs['to_tuples'] % dict(
         return_type='ndarray',

pandas/core/base.py

@@ -638,8 +638,8 @@ def _is_builtin_func(self, arg):
 
 
 class IndexOpsMixin:
-    """ common ops mixin to support a unified interface / docs for Series /
-    Index
+    """
+    Common ops mixin to support a unified interface / docs for Series / Index
     """
 
     # ndarray compatibility
@@ -656,8 +656,8 @@ def transpose(self, *args, **kwargs):
         nv.validate_transpose(args, kwargs)
         return self
 
-    T = property(transpose, doc="Return the transpose, which is by "
-                                "definition self.")
+    T = property(transpose, doc="""\nReturn the transpose, which is by
+                                definition self.\n""")
 
     @property
     def _is_homogeneous_type(self):

pandas/core/computation/eval.py

@@ -1,6 +1,7 @@
 #!/usr/bin/env python
 
-"""Top level ``eval`` module.
+"""
+Top level ``eval`` module.
 """
 
 import tokenize
@@ -15,7 +16,8 @@
 
 
 def _check_engine(engine):
-    """Make sure a valid engine is passed.
+    """
+    Make sure a valid engine is passed.
 
     Parameters
     ----------
@@ -31,7 +33,6 @@ def _check_engine(engine):
     Returns
     -------
     string engine
-
     """
     from pandas.core.computation.check import _NUMEXPR_INSTALLED
 
@@ -60,7 +61,8 @@ def _check_engine(engine):
 
 
 def _check_parser(parser):
-    """Make sure a valid parser is passed.
+    """
+    Make sure a valid parser is passed.
 
     Parameters
     ----------
@@ -88,7 +90,8 @@ def _check_resolvers(resolvers):
 
 
 def _check_expression(expr):
-    """Make sure an expression is not an empty string
+    """
+    Make sure an expression is not an empty string
 
     Parameters
     ----------
@@ -105,7 +108,8 @@ def _check_expression(expr):
 
 
 def _convert_expression(expr):
-    """Convert an object to an expression.
+    """
+    Convert an object to an expression.
 
     Thus function converts an object to an expression (a unicode string) and
     checks to make sure it isn't empty after conversion. This is used to
@@ -155,7 +159,8 @@ def _check_for_locals(expr, stack_level, parser):
 def eval(expr, parser='pandas', engine=None, truediv=True,
          local_dict=None, global_dict=None, resolvers=(), level=0,
          target=None, inplace=False):
-    """Evaluate a Python expression as a string using various backends.
+    """
+    Evaluate a Python expression as a string using various backends.
 
     The following arithmetic operations are supported: ``+``, ``-``, ``*``,
     ``/``, ``**``, ``%``, ``//`` (python engine only) along with the following

pandas/core/dtypes/dtypes.py

@@ -631,12 +631,16 @@ def __init__(self, unit="ns", tz=None):
 
     @property
     def unit(self):
-        """The precision of the datetime data."""
+        """
+        The precision of the datetime data.
+        """
         return self._unit
 
     @property
     def tz(self):
-        """The timezone."""
+        """
+        The timezone.
+        """
         return self._tz
 
     @classmethod
@@ -777,7 +781,9 @@ def __new__(cls, freq=None):
 
     @property
     def freq(self):
-        """The frequency object of this PeriodDtype."""
+        """
+        The frequency object of this PeriodDtype.
+        """
         return self._freq
 
     @classmethod
@@ -944,7 +950,9 @@ def __new__(cls, subtype=None):
 
     @property
     def subtype(self):
-        """The dtype of the Interval bounds."""
+        """
+        The dtype of the Interval bounds.
+        """
         return self._subtype
 
     @classmethod

pandas/core/dtypes/inference.py

@@ -427,7 +427,8 @@ def is_named_tuple(obj):
 
 
 def is_hashable(obj):
-    """Return True if hash(obj) will succeed, False otherwise.
+    """
+    Return True if hash(obj) will succeed, False otherwise.
 
     Some types will pass a test against collections.abc.Hashable but fail when
     they are actually hashed with hash().

pandas/core/generic.py

@@ -1832,7 +1832,8 @@ def __iter__(self):
 
     # can we get a better explanation of this?
     def keys(self):
-        """Get the 'info axis' (see Indexing for more)
+        """
+        Get the 'info axis' (see Indexing for more)
 
         This is index for Series, columns for DataFrame.
 
@@ -1844,7 +1845,8 @@ def keys(self):
         return self._info_axis
 
     def iteritems(self):
-        """Iterate over (label, values) on info axis
+        """
+        Iterate over (label, values) on info axis
 
         This is index for Series, columns for DataFrame and so on.
         """

pandas/core/groupby/groupby.py

@@ -172,7 +172,7 @@ class providing the base-class of operations.
     {examples}
     """)
 
-_pipe_template = """\
+_pipe_template = """
 Apply a function `func` with arguments to this %(klass)s object and return
 the function's result.
 
@@ -223,7 +223,8 @@ class providing the base-class of operations.
 
 Examples
 --------
-%(examples)s"""
+%(examples)s
+"""
 
 _transform_template = """
 Call function producing a like-indexed %(klass)s on each group and

pandas/core/indexes/interval.py

@@ -769,7 +769,8 @@ def _find_non_overlapping_monotonic_bounds(self, key):
         return start, stop
 
     def get_loc(self, key, method=None):
-        """Get integer location, slice or boolean mask for requested label.
+        """
+        Get integer location, slice or boolean mask for requested label.
 
         Parameters
         ----------

pandas/core/indexes/multi.py

@@ -1119,7 +1119,7 @@ def _set_names(self, names, level=None, validate=True):
             self.levels[l].rename(name, inplace=True)
 
     names = property(fset=_set_names, fget=_get_names,
-                     doc="Names of levels in MultiIndex")
+                     doc="""\nNames of levels in MultiIndex\n""")
 
     @Appender(_index_shared_docs['_get_grouper_for_level'])
     def _get_grouper_for_level(self, mapper, level):
@@ -1773,12 +1773,16 @@ def remove_unused_levels(self):
 
     @property
     def nlevels(self):
-        """Integer number of levels in this MultiIndex."""
+        """
+        Integer number of levels in this MultiIndex.
+        """
         return len(self.levels)
 
     @property
     def levshape(self):
-        """A tuple with the length of each level."""
+        """
+        A tuple with the length of each level.
+        """
         return tuple(len(x) for x in self.levels)
 
     def __reduce__(self):

pandas/core/indexing.py

@@ -1311,7 +1311,8 @@ def _get_slice_axis(self, slice_obj, axis=None):
 
 
 class _IXIndexer(_NDFrameIndexer):
-    """A primarily label-location based indexer, with integer position
+    """
+    A primarily label-location based indexer, with integer position
     fallback.
 
     Warning: Starting in 0.20.0, the .ix indexer is deprecated, in

pandas/core/resample.py

@@ -204,8 +204,7 @@ def _assure_grouper(self):
     >>> df.resample('2D').pipe(lambda x: x.max() - x.min())
                 A
     2012-08-02  1
-    2012-08-04  1
-    """)
+    2012-08-04  1""")
     @Appender(_pipe_template)
     def pipe(self, func, *args, **kwargs):
         return super().pipe(func, *args, **kwargs)

pandas/core/reshape/merge.py

@@ -133,7 +133,8 @@ def merge_ordered(left, right, on=None,
                   left_by=None, right_by=None,
                   fill_method=None, suffixes=('_x', '_y'),
                   how='outer'):
-    """Perform merge with optional filling/interpolation designed for ordered
+    """
+    Perform merge with optional filling/interpolation designed for ordered
     data like time series data. Optionally perform group-wise merge (see
     examples)
 
@@ -240,7 +241,8 @@ def merge_asof(left, right, on=None,
                tolerance=None,
                allow_exact_matches=True,
                direction='backward'):
-    """Perform an asof merge. This is similar to a left-join except that we
+    """
+    Perform an asof merge. This is similar to a left-join except that we
     match on nearest key rather than equal keys.
 
     Both DataFrames must be sorted by the key.