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Fixed PEP8 errors in doc/source/whatsnew/v0.15.* #24328

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Fixed PEP8 errors in doc/source/whatsnew/v0.15.* #24328

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6790593
Fixed PEP8 errors in doc/source/whatsnew/v0.15.*
joybh98 Dec 18, 2018
065ec53
Fixed code review faults
joybh98 Dec 18, 2018
ad389ec
Resolved merge conflict of setup.cfg
joybh98 Dec 18, 2018
56af365
Fixed some warnings
joybh98 Dec 19, 2018
f86ff74
Resolved conflicts
joybh98 Dec 20, 2018
1d62d9a
Fixed errors
joybh98 Dec 21, 2018
623c201
Merge remote-tracking branch 'upstream/master' into fix-doc-pep8
joybh98 Dec 21, 2018
4ccd591
Restored style.ipynb
joybh98 Dec 22, 2018
870e0b7
Fixed all undefined errors
joybh98 Dec 23, 2018
458ad38
Fixed all 0.15.1 errors
joybh98 Dec 23, 2018
0990ebc
Merge remote-tracking branch 'upstream/master' into fix-doc-pep8
joybh98 Dec 23, 2018
d81927c
Fixed 0.15.1 errors
joybh98 Dec 23, 2018
865a329
Merge remote-tracking branch 'upstream/master' into fix-doc-pep8
joybh98 Dec 23, 2018
dc8bb82
Fixed pep-8 errors
joybh98 Jan 2, 2019
879cf86
Resolved Merge Conflicts
joybh98 Jan 2, 2019
50a0699
Changes pushed to v0.15
joybh98 Jan 4, 2019
9ba2eab
Fixed setup.cfg
joybh98 Jan 4, 2019
1b08068
Merge remote-tracking branch 'upstream/master' into fix-doc-pep8
joybh98 Jan 4, 2019
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83 changes: 39 additions & 44 deletions doc/source/whatsnew/v0.15.0.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -5,12 +5,6 @@ v0.15.0 (October 18, 2014)

{{ header }}

.. 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.
Expand Down Expand Up @@ -77,7 +71,7 @@ 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']})
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Is this the line too long you mention in the description? You can fix it by simply:

df = DataFrame({"id": [1, 2, 3, 4, 5, 6],
                "raw_grade": ['a', 'b', 'b', 'a', 'a', 'e']})

Or something similar, if you need to do it somewhere else too.

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I tried this,but it led to more pep8 errors.

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If the block is a code-block, you may need to add ... to the beginning of the continuation file. If you can't get it fixed yourself, leave it the way you think it's correct in the PR, so we can review it, and also see the errors in the CI.


df["grade"] = df["raw_grade"].astype("category")
df["grade"]
Expand Down Expand Up @@ -181,22 +175,22 @@ 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
Expand All @@ -210,9 +204,9 @@ 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()
Expand All @@ -235,7 +229,7 @@ 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')
Expand All @@ -260,7 +254,7 @@ This will return a Series, indexed like the existing Series. See the :ref:`docs
.. ipython:: python
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Can you revert this change? (there needs to be a blank line between the last sentence and .. ipython::)


# 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
Expand Down Expand Up @@ -292,15 +286,15 @@ 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
Expand Down Expand Up @@ -667,7 +661,7 @@ 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:
Expand All @@ -686,13 +680,13 @@ 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
Expand All @@ -702,10 +696,10 @@ 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:
Expand All @@ -724,15 +718,15 @@ 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))
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Can you add back this print statement?

print("KeyError: " + str(e))

- Assigning values to ``None`` now considers the dtype when choosing an 'empty' value (:issue:`7941`).

Expand Down Expand Up @@ -815,9 +809,9 @@ 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

Expand All @@ -836,7 +830,7 @@ Other notable API changes:

.. code-block:: python
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This indentation is wrong, should be at the top level. And this should be a .. code-block:: ipython (ipython instead of python.

See similar examples for the exact format.


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'

Expand All @@ -854,8 +848,8 @@ 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

Expand Down Expand Up @@ -915,18 +909,18 @@ 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`).
Expand Down Expand Up @@ -1050,11 +1044,12 @@ 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`)
Expand Down
16 changes: 5 additions & 11 deletions doc/source/whatsnew/v0.15.1.rst
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Expand Up @@ -5,12 +5,6 @@ v0.15.1 (November 9, 2014)

{{ header }}

.. ipython:: python
:suppress:

from pandas import * # noqa F401, F403


This is a minor bug-fix release from 0.15.0 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.
Expand All @@ -28,7 +22,7 @@ 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

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can you try to redefine df and ts before line 64 (can't comment there, as it's not edited in the PR)

I think they should be accessible from the previous block. You can also use # noqa F821 in the failing line, to stop the error from being raised.

Expand Down Expand Up @@ -156,9 +150,9 @@ 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
Expand All @@ -183,7 +177,7 @@ 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
Expand Down Expand Up @@ -233,7 +227,7 @@ 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:

Expand Down
8 changes: 1 addition & 7 deletions doc/source/whatsnew/v0.15.2.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -5,12 +5,6 @@ v0.15.2 (December 12, 2014)

{{ header }}

.. ipython:: python
:suppress:

from pandas import * # noqa F401, F403


This is a minor release from 0.15.1 and includes a large number of bug fixes
along with several new features, enhancements, and performance improvements.
A small number of API changes were necessary to fix existing bugs.
Expand Down Expand Up @@ -79,7 +73,7 @@ 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
Expand Down
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5 changes: 2 additions & 3 deletions setup.cfg
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Expand Up @@ -47,9 +47,8 @@ ignore = E402, # module level import not at top of file
exclude =
doc/source/whatsnew/v0.13.0.rst
doc/source/whatsnew/v0.13.1.rst
doc/source/whatsnew/v0.15.0.rst
doc/source/whatsnew/v0.15.1.rst
doc/source/whatsnew/v0.15.2.rst
doc/source/whatsnew/v0.14.0.rst
doc/source/whatsnew/v0.14.1.rst
doc/source/whatsnew/v0.16.0.rst
doc/source/whatsnew/v0.16.1.rst
doc/source/whatsnew/v0.16.2.rst
Expand Down