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

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Merged
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Dec 16, 2018
Merged

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

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6b0989b
DOC: Fixed whatsnew v12
saurav-chakravorty Dec 16, 2018
2e6414e
DOC: some more changes.
saurav-chakravorty Dec 16, 2018
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44 changes: 21 additions & 23 deletions doc/source/whatsnew/v0.12.0.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -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.
Expand Down Expand Up @@ -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
Expand All @@ -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)
Expand All @@ -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
Expand Down Expand Up @@ -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`)
Expand Down Expand Up @@ -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)
Expand Down Expand Up @@ -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:
Expand All @@ -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
Expand Down Expand Up @@ -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
Expand Down Expand Up @@ -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
Expand All @@ -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
Expand Down Expand Up @@ -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
~~~~~~~~~
Expand All @@ -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)
Expand Down
1 change: 0 additions & 1 deletion setup.cfg
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Expand Up @@ -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
Expand Down