pandas: powerful Python data analysis toolkit - 0.12
expressions via filter, and a revamped replace routine that accepts regular expressions. 1.1.1 API changes • The I/O API is now much more consistent with a set of top level reader functions accessed like number of additions, and Dtype support is now full-fledged. There are also a number of important API changes that long-time pandas users should pay close attention to. There is a new section in the documentation 2013) 19 pandas: powerful Python data analysis toolkit, Release 0.12.0 dtype(’O’) 1.2.7 API changes • Added to_series() method to indicies, to facilitate the creation of indexers (GH3275) • HDFStore0 码力 | 657 页 | 3.58 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.7.3
and fixes many minor bugs and adds a number of nice new features. There are also a couple of API changes to note; these should not affect very many users, and we are inclined to call them “bug fixes” even Series and DataFrame for computing kurtosis 1.1.2 NA Boolean Comparison API Change Reverted some changes to how NA values (represented typically as NaN or None) are handled in non-numeric Series: In [923]: (April 12, 2012) 5 pandas: powerful Python data analysis toolkit, Release 0.7.3 1.1.3 Other API Changes When calling apply on a grouped Series, the return value will also be a Series, to be more consistent0 码力 | 297 页 | 1.92 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.7.2
targets bugs in 0.7.1, and adds a few minor features. 1.1.1 New features • Add additional tie-breaking methods in DataFrame.rank (GH874) • Add ascending parameter to rank in Series, DataFrame (GH875) objects • Added level argument to xs method of DataFrame. 1.3.2 API Changes to integer indexing One of the potentially riskiest API changes in 0.7.0, but also one of the most important, was a complete review 359977 m 0.346131 In [915]: s2.ix[’b’:’h’] Out[915]: c 0.787672 e 0.790509 g 1.109413 1.3.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label0 码力 | 283 页 | 1.45 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.13.1
13.1 (February 3, 2014) This is a minor release from 0.13.0 and includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug 2001-01-01 2013-04-19 4491 days 1 2004-06-01 2013-04-19 3244 days [2 rows x 3 columns] 1.1.2 API changes • Add -NaN and -nan to the default set of NA values (GH5952). See NA Values. • Added Series.str Columns: [a, b] Index: [] [0 rows x 2 columns] 1.1.3 Prior Version Deprecations/Changes There are no announced changes in 0.13 or prior that are taking effect as of 0.13.1 1.1.4 Deprecations There are0 码力 | 1219 页 | 4.81 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.20.3
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 1.3.2 Backwards incompatible API changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 1.3.2.1 Possible incompatibility for . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 1.3.2.6 Partial String Indexing Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 1.3.2.7 Concat of different float dtypes Index is more Accurate . . . . . . . . . . . . . . . . . . . . . . 27 1.3.2.10 DataFrame.sort_index changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 1.3.2.11 Groupby Describe Formatting0 码力 | 2045 页 | 9.18 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.20.2
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 1.2.2 Backwards incompatible API changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 1.2.2.1 Possible incompatibility for . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 1.2.2.6 Partial String Indexing Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 1.2.2.7 Concat of different float dtypes is more Accurate . . . . . . . . . . . . . . . . . . . . . . 26 i 1.2.2.10 DataFrame.sort_index changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 1.2.2.11 Groupby Describe Formatting0 码力 | 1907 页 | 7.83 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.21.1
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.2.2 Backwards incompatible API changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 1.2.2.1 Dependencies have increased with a list with missing labels is Deprecated . . . . . . . . . . . . . . . . 16 1.2.2.4 NA naming Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 1.2.2.5 Iteration of Series/Index Automatic Matplotlib Converters . . . . . . . . . . . . . . . . . . . . . . . . . 24 1.2.2.14 Other API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 1.2.3 Deprecations . . .0 码力 | 2207 页 | 8.59 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.14.0
v0.14.0 (May 31 , 2014) This is a major release from 0.13.1 and includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug Officially support Python 3.4 – SQL interfaces updated to use sqlalchemy, See Here. – Display interface changes, See Here – MultiIndexing Using Slicers, See Here. – Ability to join a singly-indexed DataFrame Performance doc section on I/O operations, See Here • Other Enhancements • API Changes • Text Parsing API Changes • Groupby API Changes • Performance Improvements • Prior Deprecations • Deprecations • Known0 码力 | 1349 页 | 7.67 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.15
of API changes were necessary to fix existing bugs. We recommend that all users upgrade to this version. • Enhancements • API Changes • Performance Improvements • Bug Fixes 1.1.1 API changes • Indexing (November 9, 2014) This is a minor bug-fix release from 0.15.0 and includes a small number of API changes, several new features, en- hancements, and performance improvements along with a large number of fixes. We recommend that all users upgrade to this version. • Enhancements • API Changes • Bug Fixes 1.2.1 API changes • s.dt.hour and other .dt accessors will now return np.nan for missing values (rather0 码力 | 1579 页 | 9.15 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.15.1
(November 9, 2014) This is a minor bug-fix release from 0.15.0 and includes a small number of API changes, several new features, en- hancements, and performance improvements along with a large number of fixes. We recommend that all users upgrade to this version. • Enhancements • API Changes • Bug Fixes 1.1.1 API changes • s.dt.hour and other .dt accessors will now return np.nan for missing values (rather 15.0 (October 18, 2014) 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 bug0 码力 | 1557 页 | 9.10 MB | 1 年前3
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