indexing operations on Index classes as well as Index.delete() and Index.drop() methods will no longer change the type of the resulting index (GH6440, GH7040) In [6]: i = pd.Index([1, 2, 3, ’a’ , ’b’, ’c’]) quantile on a datetime[ns] series now returns Timestamp instead of np.datetime64 objects (GH6810) • change AssertionError to TypeError for invalid types passed to concat (GH6583) 1.1. v0.14.0 (May 31 , 2014) 000000 [16 rows x 1 columns] • passing as_index will leave the grouped column in-place (this is not change in 0.14.0) In [39]: df = DataFrame([[1, np.nan], [1, 4], [5, 6], [5, 8]], columns=[’A’, ’B’]) 1

dtype: object • io.data.Options has been fixed for a change in the format of the Yahoo Options page (GH8612), (GH8741) Note: As a result of a change in Yahoo’s option page layout, when an expiry date is see Memory Usage – read_csv will now by default ignore blank lines when parsing, see here – API change in using Indexes in set operations, see here – Enhancements in the handling of timezones, see here similarly to the rest of the pandas objects. This change allows very easy sub-classing and creation of new index types. This should be a transparent change with only very limited API implications (See the

dtype: object • io.data.Options has been fixed for a change in the format of the Yahoo Options page (GH8612), (GH8741) Note: As a result of a change in Yahoo’s option page layout, when an expiry date is see Memory Usage – read_csv will now by default ignore blank lines when parsing, see here – API change in using Indexes in set operations, see here – Enhancements in the handling of timezones, see here similarly to the rest of the pandas objects. This change allows very easy sub-classing and creation of new index types. This should be a transparent change with only very limited API implications (See the

instead subclass NDFrame, similar to the rest of the pandas containers. This should be a transparent change with only very limited API implications. See Internal Refactoring 1.2.1 API changes • read_excel performed more idiomatically by extract. In a future release, the default behavior of match will change to become analogous to contains, which returns a boolean indexer. (Their distinction is strictness: 2001-01-13 30 32 2001-01-14 30 32 2001-01-15 30 32 [4 rows x 2 columns] 1.2.5 Float64Index API Change • Added a new index type, Float64Index. This will be automatically created when passing floating

the same as in pandas v0.17.0 (GH8961, GH10861). After installing pandas-datareader, you can easily change your imports: from pandas.io import data, wb becomes from pandas_datareader import data, wb Highlights 1. What’s New pandas: powerful Python data analysis toolkit, Release 0.17.0 As a result of this change, these methods are now all discoverable via tab-completion: In [12]: df.plot. df.plot.area DataFrame({'a': np.random.randn(10)}) df.eval("b = sin(a)") The support math functions are sin, cos, exp, log, expm1, log1p, sqrt, sinh, cosh, tanh, arcsin, arccos, arctan, arccosh, arcsinh, arctanh, abs and arctan2

DataFrame/Series will use default dtypes of int64 and float64, regardless of platform. This is not an apparent change from earlier versions of pandas. If you specify dtypes, they WILL be respected, however (GH2837) Furthermore datetime64[ns] columns are created by default, when passed datetimelike objects (this change was introduced in 0.10.1) (GH2809, GH2810) In [36]: df = DataFrame(randn(6,2),date_range(’20010102’ can read native PyTables table format tables • You can pass nan_rep = ’my_nan_rep’ to append, to change the default nan representation on disk (which converts to/from np.nan), this defaults to nan. •

msgpack . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75 Signature change for .rank . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75 Bug in QuarterBegin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237 1.16.5 Float64Index API Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239 1.16.6 HDFStore API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307 1.25.2 NA Boolean Comparison API Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309 1.25.3 Other API Changes . . . .

msgpack . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 Signature change for .rank . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 Bug in QuarterBegin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236 1.15.5 Float64Index API Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238 1.15.6 HDFStore API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 306 1.24.2 NA Boolean Comparison API Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308 1.24.3 Other API Changes . . . .

msgpack . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123 1.8.2.3 Signature change for .rank . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124 1.8.2.4 Bug in QuarterBegin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285 1.20.5 Float64Index API Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287 1.20.6 HDFStore API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355 1.29.2 NA Boolean Comparison API Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356 1.29.3 Other API Changes . . . .

msgpack . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121 1.7.2.3 Signature change for .rank . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122 1.7.2.4 Bug in QuarterBegin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283 1.19.5 Float64Index API Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285 1.19.6 HDFStore API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 353 1.28.2 NA Boolean Comparison API Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354 1.28.3 Other API Changes . . . .