. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 583 26.2 Where to get it . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 583 the same time: In [31]: pd.get_option(’a.b’) 2 In [32]: pd.get_option(’b.c’) 3 In [33]: pd.set_option(’a.b’, 1, ’b.c’, 4) In [34]: pd.get_option(’a.b’) 1 In [35]: pd.get_option(’b.c’) 4 • The filter zone (GH4229) • Fixed bug where html5lib wasn’t being properly skipped (GH4265) • Fixed bug where get_data_famafrench wasn’t using the correct file edges (GH4281) See the full release notes or issue tracker

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366 12.15 Dictionary-like get() method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 367 12.16 The select() array_split (GH8846) • Skip testing of histogram plots for matplotlib <= 1.2 (GH8648). • Bug where get_data_google returned object dtypes (GH3995) • Bug in DataFrame.stack(..., dropna=False) when the DataFrame’s data for the selected month. The month and year parameters have been undeprecated and can be used to get all options data for a given month. If an expiry date that is not valid is given, data for the next

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358 12.15 Dictionary-like get() method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358 12.16 The select() data for the selected month. The month and year parameters have been undeprecated and can be used to get all options data for a given month. 1.1. v0.15.1 (November 9, 2014) 5 pandas: powerful Python data In [17]: from pandas.io.data import Options In [18]: aapl = Options(’aapl’,’yahoo’) In [19]: aapl.get_call_data().iloc[0:5,0:1] Out[19]: Last Strike Expiry Type Symbol 80 2014-11-14 call AAPL141114C00080000

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387 2.5.18 Dictionary-like get() method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 390 2.5.19 The lookup() decide (just delete that folder). Installing with Miniconda The previous section outlined how to get pandas installed as part of the Anaconda distribution. However this approach means you will install sudo apt-get install python3-pandas Debian & Ubuntu unstable (latest pack- ages) NeuroDebian sudo apt-get install python3-pandas Ubuntu stable official Ubuntu reposi- tory sudo apt-get install python3-pandas

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387 2.5.18 Dictionary-like get() method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 390 2.5.19 The lookup() decide (just delete that folder). Installing with Miniconda The previous section outlined how to get pandas installed as part of the Anaconda distribution. However this approach means you will install sudo apt-get install python3-pandas Debian & Ubuntu unstable (latest pack- ages) NeuroDebian sudo apt-get install python3-pandas Ubuntu stable official Ubuntu reposi- tory sudo apt-get install python3-pandas

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256 10.15 Dictionary-like get() method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256 10.16 Advanced option max_info_rows, to disable null counts for large frames (GH5974) In [7]: max_info_rows = pd.get_option(’max_info_rows’) In [8]: df = DataFrame(dict(A = np.random.randn(10), ...: B = np.random.randn(10) Series.str.get_dummies vectorized string method (GH6021), to extract dummy/indicator vari- ables for separated string columns: In [23]: s = Series([’a’, ’a|b’, np.nan, ’a|c’]) In [24]: s.str.get_dummies(sep=’|’)

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441 13.15 Dictionary-like get() method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 443 13.16 The select() day') ....: Out[60]: x 1999-12-31 0 tolerance is also exposed by the lower level Index.get_indexer and Index.get_loc methods. • Added functionality to use the base argument when resampling a TimeDeltaIndex (October 9, 2015) 25 pandas: powerful Python data analysis toolkit, Release 0.17.0 • Bug in io.sql.get_schema when specifying multiple columns as primary key (GH10385). • Bug in groupby(sort=False) with

users to define how window bounds are created during rolling operations. Users can define their own get_window_bounds method on a pandas. api.indexers.BaseIndexer() subclass that will generate the start idx of idx_val and a new value of val, idx.set_value(arr, idx_val, val) is equivalent to arr[idx. get_loc(idx_val)] = val, which should be used instead (GH28621). • is_extension_type() is deprecated, DateOffset.is_anchored() and DateOffset.is_on_offset() instead (GH30340) • pandas.tseries.frequencies.get_offset is deprecated and will be removed in a future version, use pandas.tseries.frequencies.to_offset

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 434 2.5.19 Dictionary-like get() method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 437 2.5.20 Looking up values decide (just delete that folder). Installing with Miniconda The previous section outlined how to get pandas installed as part of the Anaconda distribution. However this approach means you will install sudo apt-get install python3-pandas Debian & Ubuntu unstable (latest pack- ages) NeuroDebian sudo apt-get install python3-pandas Ubuntu stable official Ubuntu reposi- tory sudo apt-get install python3-pandas

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 454 2.5.19 Dictionary-like get() method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 457 2.5.20 Looking up values decide (just delete that folder). Installing with Miniconda The previous section outlined how to get pandas installed as part of the Anaconda distribution. However this approach means you will install tory sudo apt-get install python3-pandas Debian & Ubuntu unstable (latest packages) NeuroDebian sudo apt-get install python3-pandas Ubuntu stable official Ubuntu reposi- tory sudo apt-get install python3-pandas