affect very many users, and we are inclined to call them “bug fixes” even though they do constitute a change in behavior. See the full release notes or issue tracker on GitHub for a complete list. 1.1.1 New Release 0.7.3 • Add log x and y scaling options to DataFrame.plot and Series.plot • Add kurt methods to Series and DataFrame for computing kurtosis 1.1.2 NA Boolean Comparison API Change Reverted some changes attribute-based item access to Panel and add IPython completion (PR563) • Add logy option to Series.plot for log-scaling on the Y axis • Add index and header options to DataFrame.to_string • Can pass multiple DataFrames

msgpack . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152 1.10.2.3 Signature change for .rank . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153 1.10.2.4 Bug in QuarterBegin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314 1.22.5 Float64Index API Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316 1.22.6 HDFStore API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 1.31.2 NA Boolean Comparison API Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385 1.31.3 Other API Changes . . . .

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 . . . .

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. •

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

split-apply-combine approach. To introduction tutorial To user guide Straight to tutorial... Change the structure of your data table in multiple ways. You can melt() your data table from wide to long/tidy these date-related properties and supports convenient slicing. • Resample is a powerful method to change the frequency of a time series. A full overview on time series is given on the pages on time series toolkit, Release 1.1.1 Upcase, lowcase, and propcase The SAS UPCASE LOWCASE and PROPCASE functions change the case of the argument. data firstlast; input String $60.; string_up = UPCASE(string); string_low

split-apply-combine approach. To introduction tutorial To user guide Straight to tutorial... Change the structure of your data table in multiple ways. You can melt() your data table from wide to long/tidy these date-related properties and supports convenient slicing. • Resample is a powerful method to change the frequency of a time series. A full overview on time series is given on the pages on time series toolkit, Release 1.1.0 Upcase, lowcase, and propcase The SAS UPCASE LOWCASE and PROPCASE functions change the case of the argument. data firstlast; input String $60.; string_up = UPCASE(string); string_low