Fixed PEP8 errors in doc/source/whatsnew/v0.15.*

doc/source/whatsnew/v0.15.0.rst

@@ -7,10 +7,11 @@ v0.15.0 (October 18, 2014)
 
 .. ipython:: python
  :suppress:
-
+ 
  from pandas import * # noqa F401, F403
 
 
+
 This is a major release from 0.14.1 and includes a small number of API changes, several new features,
 enhancements, and performance improvements along with a large number of bug fixes. We recommend that all
 users upgrade to this version.
@@ -77,7 +78,7 @@ For full docs, see the :ref:`categorical introduction <categorical>` and the
 .. ipython:: python
  :okwarning:
 
- df = DataFrame({"id":[1,2,3,4,5,6], "raw_grade":['a', 'b', 'b', 'a', 'a', 'e']})
+ df = DataFrame({"id": [1, 2, 3, 4, 5, 6], "raw_grade": ['a', 'b', 'b', 'a', 'a', 'e']})
 
  df["grade"] = df["raw_grade"].astype("category")
  df["grade"]
@@ -181,22 +182,22 @@ Construct a ``TimedeltaIndex``
 
 .. ipython:: python
 
- TimedeltaIndex(['1 days','1 days, 00:00:05',
- np.timedelta64(2,'D'),timedelta(days=2,seconds=2)])
+ TimedeltaIndex(['1 days', '1 days, 00:00:05',
+ np.timedelta64(2, 'D'), timedelta(days=2, seconds=2)])
 
 Constructing a ``TimedeltaIndex`` with a regular range
 
 .. ipython:: python
 
- timedelta_range('1 days',periods=5,freq='D')
- timedelta_range(start='1 days',end='2 days',freq='30T')
+ timedelta_range('1 days', periods=5, freq='D')
+ timedelta_range(start='1 days', end='2 days', freq='30T')
 
 You can now use a ``TimedeltaIndex`` as the index of a pandas object
 
 .. ipython:: python
 
  s = Series(np.arange(5),
- index=timedelta_range('1 days',periods=5,freq='s'))
+ index=timedelta_range('1 days', periods=5, freq='s'))
  s
 
 You can select with partial string selections
@@ -210,9 +211,9 @@ Finally, the combination of ``TimedeltaIndex`` with ``DatetimeIndex`` allow cert
 
 .. ipython:: python
 
- tdi = TimedeltaIndex(['1 days',pd.NaT,'2 days'])
+ tdi = TimedeltaIndex(['1 days', pd.NaT, '2 days'])
  tdi.tolist()
- dti = date_range('20130101',periods=3)
+ dti = date_range('20130101', periods=3)
  dti.tolist()
 
  (dti + tdi).tolist()
@@ -235,7 +236,7 @@ A new display option ``display.memory_usage`` (see :ref:`options`) sets the defa
  dtypes = ['int64', 'float64', 'datetime64[ns]', 'timedelta64[ns]',
  'complex128', 'object', 'bool']
  n = 5000
- data = dict([ (t, np.random.randint(100, size=n).astype(t))
+ data = dict([(t, np.random.randint(100, size=n).astype(t))
  for t in dtypes])
  df = DataFrame(data)
  df['categorical'] = df['object'].astype('category')
@@ -260,7 +261,7 @@ This will return a Series, indexed like the existing Series. See the :ref:`docs
 .. ipython:: python
 
  # datetime
- s = Series(date_range('20130101 09:10:12',periods=4))
+ s = Series(date_range('20130101 09:10:12', periods=4))
  s
  s.dt.hour
  s.dt.second
@@ -292,15 +293,15 @@ The ``.dt`` accessor works for period and timedelta dtypes.
 .. ipython:: python
 
  # period
- s = Series(period_range('20130101',periods=4,freq='D'))
+ s = Series(period_range('20130101', periods=4, freq='D'))
  s
  s.dt.year
  s.dt.day
 
 .. ipython:: python
 
  # timedelta
- s = Series(timedelta_range('1 day 00:00:05',periods=4,freq='s'))
+ s = Series(timedelta_range('1 day 00:00:05', periods=4, freq='s'))
  s
  s.dt.days
  s.dt.seconds
@@ -667,7 +668,7 @@ Other notable API changes:
 
  .. ipython:: python
 
- df = DataFrame([['a'],['b']],index=[1,2])
+ df = DataFrame([['a'], ['b']], index=[1, 2])
  df
 
  In prior versions there was a difference in these two constructs:
@@ -686,13 +687,13 @@ Other notable API changes:
 
  .. code-block:: ipython
 
- In [3]: df.loc[[1,3]]
+ In [3]: df.loc[[1, 3]]
  Out[3]:
  0
  1 a
  3 NaN
 
- In [4]: df.loc[[1,3],:]
+ In [4]: df.loc[[1, 3], :]
  Out[4]:
  0
  1 a
@@ -702,10 +703,10 @@ Other notable API changes:
 
  .. ipython:: python
 
- p = Panel(np.arange(2*3*4).reshape(2,3,4),
- items=['ItemA','ItemB'],
- major_axis=[1,2,3],
- minor_axis=['A','B','C','D'])
+ p = Panel(np.arange(2 * 3 * 4).reshape(2, 3, 4),
+ items=['ItemA', 'ItemB'],
+ major_axis=[1, 2, 3],
+ minor_axis=['A', 'B', 'C', 'D'])
  p
 
  The following would raise ``KeyError`` prior to 0.15.0:
@@ -724,15 +725,15 @@ Other notable API changes:
  .. ipython:: python
  :okexcept:
 
- s = Series(np.arange(3,dtype='int64'),
- index=MultiIndex.from_product([['A'],['foo','bar','baz']],
- names=['one','two'])
- ).sort_index()
+ s = Series(np.arange(3, dtype='int64'),
+ index=MultiIndex.from_product([['A'], ['foo', 'bar', 'baz']],
+ names=['one', 'two'])
+  ).sort_index()
  s
  try:
- s.loc[['D']]
+  s.loc[['D']]
  except KeyError as e:
- print("KeyError: " + str(e))
+  print("KeyError: " + str(e))
 
 - Assigning values to ``None`` now considers the dtype when choosing an 'empty' value (:issue:`7941`).
 
@@ -815,9 +816,9 @@ Other notable API changes:
 
  .. ipython:: python
 
- i = date_range('1/1/2011', periods=3, freq='10s', tz = 'US/Eastern')
+ i = date_range('1/1/2011', periods=3, freq='10s', tz='US/Eastern')
  i
- df = DataFrame( {'a' : i } )
+ df = DataFrame({'a': i})
  df
  df.dtypes
 
@@ -836,7 +837,7 @@ Other notable API changes:
 
  .. code-block:: python
 
- In [1]: df = DataFrame(np.arange(0,9), columns=['count'])
+ In [1]: df = DataFrame(np.arange(0, 9), columns=['count'])
 
  In [2]: df['group'] = 'b'
 
@@ -854,8 +855,8 @@ Other notable API changes:
 
  .. ipython:: python
 
- df = DataFrame([[True, 1],[False, 2]],
- columns=["female","fitness"])
+ df = DataFrame([[True, 1], [False, 2]],
+ columns=["female", "fitness"])
  df
  df.dtypes
 
@@ -915,18 +916,18 @@ Deprecations
  .. code-block:: python
 
  # +
- Index(['a','b','c']) + Index(['b','c','d'])
+ Index(['a', 'b', 'c']) + Index(['b', 'c', 'd'])
 
  # should be replaced by
- Index(['a','b','c']).union(Index(['b','c','d']))
+ Index(['a', 'b', 'c']).union(Index(['b', 'c', 'd']))
 
  .. code-block:: python
 
  # -
- Index(['a','b','c']) - Index(['b','c','d'])
+ Index(['a', 'b', 'c']) - Index(['b', 'c', 'd'])
 
  # should be replaced by
- Index(['a','b','c']).difference(Index(['b','c','d']))
+ Index(['a', 'b', 'c']).difference(Index(['b', 'c', 'd']))
 
 - The ``infer_types`` argument to :func:`~pandas.read_html` now has no
  effect and is deprecated (:issue:`7762`, :issue:`7032`).
@@ -1050,11 +1051,12 @@ Other:
 
  .. ipython:: python
 
- idx = MultiIndex.from_product([['a'], range(3), list("pqr")], names=['foo', 'bar', 'baz'])
+ idx = MultiIndex.from_product(
+ [['a'], range(3), list("pqr")], names=['foo', 'bar', 'baz'])
  idx.set_names('qux', level=0)
- idx.set_names(['qux','corge'], level=[0,1])
- idx.set_levels(['a','b','c'], level='bar')
- idx.set_levels([['a','b','c'],[1,2,3]], level=[1,2])
+ idx.set_names(['qux', 'corge'], level=[0, 1])
+ idx.set_levels(['a', 'b', 'c'], level='bar')
+ idx.set_levels([['a', 'b', 'c'], [1, 2, 3]], level=[1, 2])
 
 - ``Index.isin`` now supports a ``level`` argument to specify which index level
  to use for membership tests (:issue:`7892`, :issue:`7890`)

doc/source/whatsnew/v0.15.1.rst

@@ -28,7 +28,7 @@ API changes
 
  .. ipython:: python
 
- s = Series(date_range('20130101',periods=5,freq='D'))
+ s = Series(date_range('20130101', periods=5, freq='D'))
  s.iloc[2] = np.nan
  s
 
@@ -156,9 +156,9 @@ API changes
 
  In [17]: from pandas.io.data import Options
 
- In [18]: aapl = Options('aapl','yahoo')
+ In [18]: aapl = Options('aapl', 'yahoo')
 
- In [19]: aapl.get_call_data().iloc[0:5,0:1]
+ In [19]: aapl.get_call_data().iloc[0:5, 0:1]
  Out[19]:
  Last
  Strike Expiry Type Symbol
@@ -183,7 +183,7 @@ API changes
  datetime.date(2016, 1, 15),
  datetime.date(2017, 1, 20)]
 
- In [21]: aapl.get_near_stock_price(expiry=aapl.expiry_dates[0:3]).iloc[0:5,0:1]
+ In [21]: aapl.get_near_stock_price(expiry=aapl.expiry_dates[0:3]).iloc[0:5, 0:1]
  Out[21]:
  Last
  Strike Expiry Type Symbol
@@ -233,7 +233,7 @@ Enhancements
 
  .. ipython:: python
 
- dfi = DataFrame(1,index=pd.MultiIndex.from_product([['a'],range(1000)]),columns=['A'])
+ dfi = DataFrame(1, index=pd.MultiIndex.from_product([['a'], range(1000)]), columns=['A'])
 
  previous behavior:
 

doc/source/whatsnew/v0.15.2.rst

@@ -79,7 +79,7 @@ API changes
 
  .. ipython:: python
 
- data = pd.DataFrame({'x':[1, 2, 3]})
+ data = pd.DataFrame({'x': [1, 2, 3]})
  data.y = 2
  data['y'] = [2, 4, 6]
  data