DOC: flake8 fix for whatsnew v.0.12.* (#24309)

Author: saurav-chakravorty

doc/source/whatsnew/v0.12.0.rst

@@ -5,11 +5,6 @@ v0.12.0 (July 24, 2013)
 
 {{ header }}
 
-.. ipython:: python
-   :suppress:
-
-   from pandas import * # noqa F401, F403
-
 
 This is a major release from 0.11.0 and includes several new features and
 enhancements along with a large number of bug fixes.
@@ -52,7 +47,7 @@ API changes
 
     .. ipython:: python
 
-        p = DataFrame({ 'first' : [4,5,8], 'second' : [0,0,3] })
+        p = pd.DataFrame({'first': [4, 5, 8], 'second': [0, 0, 3]})
         p % 0
         p % p
         p / p
@@ -66,10 +61,13 @@ API changes
 
     .. ipython:: python
 
-        df2 = DataFrame([{"val1": 1, "val2" : 20}, {"val1":1, "val2": 19},
-                         {"val1":1, "val2": 27}, {"val1":1, "val2": 12}])
+        df2 = pd.DataFrame([{"val1": 1, "val2": 20},
+                            {"val1": 1, "val2": 19},
+                            {"val1": 1, "val2": 27},
+                            {"val1": 1, "val2": 12}])
+
         def func(dataf):
-            return dataf["val2"]  - dataf["val2"].mean()
+            return dataf["val2"] - dataf["val2"].mean()
 
         # squeezing the result frame to a series (because we have unique groups)
         df2.groupby("val1", squeeze=True).apply(func)
@@ -91,8 +89,8 @@ API changes
 
     .. ipython:: python
 
-       df = DataFrame(lrange(5), list('ABCDE'), columns=['a'])
-       mask = (df.a%2 == 0)
+       df = pd.DataFrame(lrange(5), list('ABCDE'), columns=['a'])
+       mask = (df.a % 2 == 0)
        mask
 
        # this is what you should use
@@ -152,7 +150,7 @@ API changes
       .. code-block:: python
 
          from pandas.io.sql import read_frame
-         read_frame(....)
+         read_frame(...)
 
   - ``DataFrame.to_html`` and ``DataFrame.to_latex`` now accept a path for
     their first argument (:issue:`3702`)
@@ -196,7 +194,7 @@ I/O Enhancements
     .. ipython :: python
        :okwarning:
 
-        df = DataFrame({'a': range(3), 'b': list('abc')})
+        df = pd.DataFrame({'a': range(3), 'b': list('abc')})
         print(df)
         html = df.to_html()
         alist = pd.read_html(html, index_col=0)
@@ -247,7 +245,7 @@ I/O Enhancements
          df = mkdf(5, 3, r_idx_nlevels=2, c_idx_nlevels=4)
          df.to_csv('mi.csv')
          print(open('mi.csv').read())
-         pd.read_csv('mi.csv', header=[0,1,2,3], index_col=[0,1])
+         pd.read_csv('mi.csv', header=[0, 1, 2, 3], index_col=[0, 1])
 
       .. ipython:: python
          :suppress:
@@ -264,10 +262,10 @@ I/O Enhancements
 
         In [25]: path = 'store_iterator.h5'
 
-        In [26]: DataFrame(randn(10,2)).to_hdf(path,'df',table=True)
+        In [26]: pd.DataFrame(np.random.randn(10, 2)).to_hdf(path, 'df', table=True)
 
-        In [27]: for df in read_hdf(path,'df', chunksize=3):
-           ....:    print df
+        In [27]: for df in pd.read_hdf(path, 'df', chunksize=3):
+           ....:     print(df)
            ....:
                   0         1
         0  0.713216 -0.778461
@@ -300,7 +298,7 @@ Other Enhancements
 
     .. ipython :: python
 
-        df = DataFrame({'a': list('ab..'), 'b': [1, 2, 3, 4]})
+        df = pd.DataFrame({'a': list('ab..'), 'b': [1, 2, 3, 4]})
         df.replace(regex=r'\s*\.\s*', value=np.nan)
 
     to replace all occurrences of the string ``'.'`` with zero or more
@@ -342,7 +340,7 @@ Other Enhancements
 
     .. ipython:: python
 
-       sf = Series([1, 1, 2, 3, 3, 3])
+       sf = pd.Series([1, 1, 2, 3, 3, 3])
        sf.groupby(sf).filter(lambda x: x.sum() > 2)
 
     The argument of ``filter`` must a function that, applied to the group as a
@@ -353,7 +351,7 @@ Other Enhancements
 
     .. ipython:: python
 
-       dff = DataFrame({'A': np.arange(8), 'B': list('aabbbbcc')})
+       dff = pd.DataFrame({'A': np.arange(8), 'B': list('aabbbbcc')})
        dff.groupby('B').filter(lambda x: len(x) > 2)
 
     Alternatively, instead of dropping the offending groups, we can return a
@@ -400,8 +398,8 @@ Experimental Features
       bday_egypt = CustomBusinessDay(holidays=holidays, weekmask=weekmask_egypt)
       dt = datetime(2013, 4, 30)
       print(dt + 2 * bday_egypt)
-      dts = date_range(dt, periods=5, freq=bday_egypt)
-      print(Series(dts.weekday, dts).map(Series('Mon Tue Wed Thu Fri Sat Sun'.split())))
+      dts = pd.date_range(dt, periods=5, freq=bday_egypt)
+      print(pd.Series(dts.weekday, dts).map(pd.Series('Mon Tue Wed Thu Fri Sat Sun'.split())))
 
 Bug Fixes
 ~~~~~~~~~
@@ -424,7 +422,7 @@ Bug Fixes
     .. ipython:: python
 
         strs = 'go', 'bow', 'joe', 'slow'
-        ds = Series(strs)
+        ds = pd.Series(strs)
 
         for s in ds.str:
             print(s)

setup.cfg

@@ -45,7 +45,6 @@ ignore = E402,  # module level import not at top of file
          E703,  # statement ends with a semicolon
 
 exclude =
-    doc/source/whatsnew/v0.12.0.rst
     doc/source/whatsnew/v0.13.0.rst
     doc/source/whatsnew/v0.13.1.rst
     doc/source/whatsnew/v0.15.0.rst