pandas: powerful Python data analysis toolkit - 0.14.0
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 645 28 API Reference 647 28.1 Input/Output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1 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 all users upgrade to this version. • Highlights include: – Officially support Python 3.4 – SQL interfaces updated to use sqlalchemy, See Here. – Display interface changes, See Here – MultiIndexing Using0 码力 | 1349 页 | 7.67 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.15
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 774 29.4 API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 797 32 API Reference 799 32.1 Input/Output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . number 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 changes0 码力 | 1579 页 | 9.15 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.15.1
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 760 29.4 API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 783 32 API Reference 785 32.1 Input/Output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 number0 码力 | 1557 页 | 9.10 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.17.0
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 898 30.4 API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 934 34 API Reference 935 34.1 Input/Output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1 v0.17.0 (October 9, 2015) This is a major release from 0.16.2 and includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number0 码力 | 1787 页 | 10.76 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.20.3
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.3.1.1 agg API for DataFrame/Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.3.1.2 dtype keyword . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 1.3.2 Backwards incompatible API changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 1.3.2.1 Possible incompatibility Table always returns a DataFrame . . . . . . . . . . . . . . . . . . . . . . . 33 1.3.2.16 Other API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 1.3.3 Reorganization0 码力 | 2045 页 | 9.18 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.20.2
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.2.1.1 agg API for DataFrame/Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.2.1.2 dtype keyword . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 1.2.2 Backwards incompatible API changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 1.2.2.1 Possible incompatibility Table always returns a DataFrame . . . . . . . . . . . . . . . . . . . . . . . 32 1.2.2.16 Other API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 1.2.3 Reorganization0 码力 | 1907 页 | 7.83 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.19.1
development API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Other enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 1.2.2 API changes dtype changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 Other API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 1.2.3 Deprecations changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 1.3.3 API changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 530 码力 | 1943 页 | 12.06 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.19.0
development API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Other enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 1.1.2 API changes dtype changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 Other API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 1.1.3 Deprecations changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 1.2.3 API changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 520 码力 | 1937 页 | 12.03 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 Automatic Matplotlib Converters . . . . . . . . . . . . . . . . . . . . . . . . . 24 1.2.2.14 Other API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 1.2.3 Deprecations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 1.5.1.1 agg API for DataFrame/Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 1.5.1.2 dtype keyword0 码力 | 2207 页 | 8.59 MB | 1 年前3pandas: powerful Python data analysis toolkit - 0.12
reshape2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 435 25 API Reference 437 25.1 Input/Output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . features and enhancements along with a large number of bug fixes. Highlites include a consistent I/O API naming scheme, routines to read html, write multi-indexes to csv files, read & write STATA data files 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 pd.read_csv()0 码力 | 657 页 | 3.58 MB | 1 年前3
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