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merged 4 commits into from
Jan 2, 2019
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DOC: Fix flake8 issues in doc/source/whatsnew/v0.17.*.rst #24340

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5674f9b
Fix pandas #24235
aqurilla Dec 18, 2018
773bdd1
Merge remote-tracking branch 'origin/master' into fix-flake8-v017
aqurilla Jan 1, 2019
245d21e
Fix flake8 issues #24235
aqurilla Jan 1, 2019
29c9163
Updated setup.cfg noqa exception E711
aqurilla Jan 2, 2019
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55 changes: 27 additions & 28 deletions doc/source/whatsnew/v0.17.0.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,6 @@ v0.17.0 (October 9, 2015)
.. ipython:: python
:suppress:

from pandas import * # noqa F401, F403


This is a major release from 0.16.2 and includes a small number of API changes, several new features,
Expand Down Expand Up @@ -85,9 +84,9 @@ The new implementation allows for having a single-timezone across all rows, with

.. ipython:: python

df = DataFrame({'A' : date_range('20130101',periods=3),
'B' : date_range('20130101',periods=3,tz='US/Eastern'),
'C' : date_range('20130101',periods=3,tz='CET')})
df = DataFrame({'A': date_range('20130101', periods=3),
'B': date_range('20130101', periods=3, tz='US/Eastern'),
'C': date_range('20130101', periods=3, tz='CET')})
df
df.dtypes

Expand All @@ -112,20 +111,20 @@ This uses a new-dtype representation as well, that is very similar in look-and-f

.. code-block:: ipython

In [1]: pd.date_range('20130101',periods=3,tz='US/Eastern')
In [1]: pd.date_range('20130101', periods=3, tz='US/Eastern')
Out[1]: DatetimeIndex(['2013-01-01 00:00:00-05:00', '2013-01-02 00:00:00-05:00',
'2013-01-03 00:00:00-05:00'],
dtype='datetime64[ns]', freq='D', tz='US/Eastern')

In [2]: pd.date_range('20130101',periods=3,tz='US/Eastern').dtype
In [2]: pd.date_range('20130101', periods=3, tz='US/Eastern').dtype
Out[2]: dtype('<M8[ns]')

New Behavior:

.. ipython:: python

pd.date_range('20130101',periods=3,tz='US/Eastern')
pd.date_range('20130101',periods=3,tz='US/Eastern').dtype
pd.date_range('20130101', periods=3, tz='US/Eastern')
pd.date_range('20130101', periods=3, tz='US/Eastern').dtype

.. _whatsnew_0170.gil:

Expand All @@ -143,8 +142,8 @@ as well as the ``.sum()`` operation.

N = 1000000
ngroups = 10
df = DataFrame({'key' : np.random.randint(0,ngroups,size=N),
'data' : np.random.randn(N) })
df = DataFrame({'key': np.random.randint(0, ngroups, size=N),
'data': np.random.randn(N)})
df.groupby('key')['data'].sum()

Releasing of the GIL could benefit an application that uses threads for user interactions (e.g. QT_), or performing multi-threaded computations. A nice example of a library that can handle these types of computation-in-parallel is the dask_ library.
Expand Down Expand Up @@ -175,7 +174,7 @@ As a result of this change, these methods are now all discoverable via tab-compl
.. ipython::
:verbatim:

In [15]: df.plot.<TAB>
In [15]: df.plot.<TAB> # noqa: E225, E999
df.plot.area df.plot.barh df.plot.density df.plot.hist df.plot.line df.plot.scatter
df.plot.bar df.plot.box df.plot.hexbin df.plot.kde df.plot.pie

Expand Down Expand Up @@ -261,7 +260,7 @@ incrementally.

.. code-block:: python

for df in pd.read_sas('sas_xport.xpt', chunksize=10000)
for df in pd.read_sas('sas_xport.xpt', chunksize=10000):
do_something(df)

See the :ref:`docs <io.sas>` for more details.
Expand Down Expand Up @@ -297,16 +296,16 @@ See the :ref:`documentation <io.excel>` for more details.

.. ipython:: python

df = pd.DataFrame([[1,2,3,4], [5,6,7,8]],
columns = pd.MultiIndex.from_product([['foo','bar'],['a','b']],
names = ['col1', 'col2']),
index = pd.MultiIndex.from_product([['j'], ['l', 'k']],
names = ['i1', 'i2']))
df = pd.DataFrame([[1, 2, 3, 4], [5, 6, 7, 8]],
columns=pd.MultiIndex.from_product(
[['foo', 'bar'], ['a', 'b']], names=['col1', 'col2']),
index=pd.MultiIndex.from_product([['j'], ['l', 'k']],
names=['i1', 'i2']))

df
df.to_excel('test.xlsx')

df = pd.read_excel('test.xlsx', header=[0,1], index_col=[0,1])
df = pd.read_excel('test.xlsx', header=[0, 1], index_col=[0, 1])
df

.. ipython:: python
Expand Down Expand Up @@ -412,15 +411,15 @@ Other enhancements

.. ipython:: python

foo = pd.Series([1,2], name='foo')
bar = pd.Series([1,2])
baz = pd.Series([4,5])
foo = pd.Series([1, 2], name='foo')
bar = pd.Series([1, 2])
baz = pd.Series([4, 5])

Previous Behavior:

.. code-block:: ipython

In [1] pd.concat([foo, bar, baz], 1)
In [1]: pd.concat([foo, bar, baz], 1)
Out[1]:
0 1 2
0 1 1 4
Expand Down Expand Up @@ -748,14 +747,14 @@ Previous Behavior:

.. code-block:: ipython

In [5]: s==None
In [5]: s == None
TypeError: Could not compare <type 'NoneType'> type with Series

New Behavior:

.. ipython:: python

s==None
s == None

Usually you simply want to know which values are null.

Expand Down Expand Up @@ -784,8 +783,8 @@ Previous Behavior:

.. ipython:: python

df_with_missing = pd.DataFrame({'col1':[0, np.nan, 2],
'col2':[1, np.nan, np.nan]})
df_with_missing = pd.DataFrame({'col1': [0, np.nan, 2],
'col2': [1, np.nan, np.nan]})

df_with_missing

Expand Down Expand Up @@ -817,8 +816,8 @@ New Behavior:

df_with_missing.to_hdf('file.h5',
'df_with_missing',
format='table',
mode='w')
format='table',
mode='w')

pd.read_hdf('file.h5', 'df_with_missing')

Expand Down
3 changes: 1 addition & 2 deletions doc/source/whatsnew/v0.17.1.rst
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Expand Up @@ -8,7 +8,6 @@ v0.17.1 (November 21, 2015)
.. ipython:: python
:suppress:

from pandas import * # noqa F401, F403


.. note::
Expand Down Expand Up @@ -85,7 +84,7 @@ Enhancements

.. ipython:: python

df = DataFrame({'A' : ['foo']*1000})
df = DataFrame({'A': ['foo'] * 1000}) # noqa: F821
df['B'] = df['A'].astype('category')

# shows the '+' as we have object dtypes
Expand Down
3 changes: 1 addition & 2 deletions setup.cfg
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Expand Up @@ -43,13 +43,12 @@ ignore = E402, # module level import not at top of file
E305, # expected 2 blank lines after class or function definition, found 0
# We use semicolon at the end to avoid displaying plot objects
E703, # statement ends with a semicolon
E711, # comparison to none should be 'if cond is none:'

exclude =
doc/source/whatsnew/v0.15.0.rst
doc/source/whatsnew/v0.15.1.rst
doc/source/whatsnew/v0.15.2.rst
doc/source/whatsnew/v0.17.0.rst
doc/source/whatsnew/v0.17.1.rst
doc/source/basics.rst
doc/source/contributing_docstring.rst
doc/source/enhancingperf.rst
Expand Down