pandas: powerful Python data analysis toolkit - 0.15Int64Index([1, 2, 3, 4], dtype=’int64’) • add copy=True argument to pd.concat to enable pass thru of complete blocks (GH8252) • Added support for numpy 1.8+ data types (bool_, int_, float_, string_) for conversion bugs that have been fixed in 0.13.1. See the full release notes or issue tracker on GitHub for a complete list of all API changes, Enhancements and Bug Fixes. 1.7 v0.13.0 (January 3, 2014) This is a major bugs that have been fixed in 0.13.0. See the full release notes or issue tracker on GitHub for a complete list of all API changes, Enhancements and Bug Fixes. 1.8 v0.12.0 (July 24, 2013) This is a major0 码力 | 1579 页 | 9.15 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.15.1Int64Index([1, 2, 3, 4], dtype=’int64’) • add copy=True argument to pd.concat to enable pass thru of complete blocks (GH8252) • Added support for numpy 1.8+ data types (bool_, int_, float_, string_) for conversion bugs that have been fixed in 0.13.1. See the full release notes or issue tracker on GitHub for a complete list of all API changes, Enhancements and Bug Fixes. 1.6 v0.13.0 (January 3, 2014) This is a major bugs that have been fixed in 0.13.0. See the full release notes or issue tracker on GitHub for a complete list of all API changes, Enhancements and Bug Fixes. 1.7 v0.12.0 (July 24, 2013) This is a major0 码力 | 1557 页 | 9.10 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.17.0constructor (GH9273) • SQL code now safely escapes table and column names (GH8986) • Added auto-complete for Series.str., Series.dt. and Series.cat. (GH9322) 1.4. v0.16.0 (March 22, 2015) Int64Index([1, 2, 3, 4], dtype='int64') • add copy=True argument to pd.concat to enable pass thru of complete blocks (GH8252) • Added support for numpy 1.8+ data types (bool_, int_, float_, string_) for conversion bugs that have been fixed in 0.13.1. See the full release notes or issue tracker on GitHub for a complete list of all API changes, Enhancements and Bug Fixes. 1.11 v0.13.0 (January 3, 2014) This is a 0 码力 | 1787 页 | 10.76 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.14.0bugs that have been fixed in 0.13.1. See the full release notes or issue tracker on GitHub for a complete list of all API changes, Enhancements and Bug Fixes. 1.3 v0.13.0 (January 3, 2014) This is a major bugs that have been fixed in 0.13.0. See the full release notes or issue tracker on GitHub for a complete list of all API changes, Enhancements and Bug Fixes. 1.4 v0.12.0 (July 24, 2013) This is a major using the correct file edges (GH4281) See the full release notes or issue tracker on GitHub for a complete list. 1.5 v0.11.0 (April 22, 2013) This is a major release from 0.10.1 and includes many new features0 码力 | 1349 页 | 7.67 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.19.0constructor (GH9273) • SQL code now safely escapes table and column names (GH8986) • Added auto-complete for Series.str., Series.dt. and Series.cat. (GH9322) • Index.get_indexer now supports Int64Index([1, 2, 3, 4], dtype='int64') • add copy=True argument to pd.concat to enable pass thru of complete blocks (GH8252) • Added support for numpy 1.8+ data types (bool_, int_, float_, string_) for conversion bugs that have been fixed in 0.13.1. See the full release notes or issue tracker on GitHub for a complete list of all API changes, Enhancements and Bug Fixes. v0.13.0 (January 3, 2014) This is a major 0 码力 | 1937 页 | 12.03 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.19.1constructor (GH9273) • SQL code now safely escapes table and column names (GH8986) • Added auto-complete for Series.str., Series.dt. and Series.cat. (GH9322) • Index.get_indexer now supports Int64Index([1, 2, 3, 4], dtype='int64') • add copy=True argument to pd.concat to enable pass thru of complete blocks (GH8252) • Added support for numpy 1.8+ data types (bool_, int_, float_, string_) for conversion bugs that have been fixed in 0.13.1. See the full release notes or issue tracker on GitHub for a complete list of all API changes, Enhancements and Bug Fixes. v0.13.0 (January 3, 2014) This is a major 0 码力 | 1943 页 | 12.06 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.12using the correct file edges (GH4281) See the full release notes or issue tracker on GitHub for a complete list. 1.2 v0.11.0 (April 22, 2013) This is a major release from 0.10.1 and includes many new features &, in addition to < and >. (GH2919) See the full release notes or issue tracker on GitHub for a complete list. 1.3 v0.10.1 (January 22, 2013) This is a minor release from 0.10.0 and includes new features datetime64 (GH2689, GH2629, GH2626) See the full release notes or issue tracker on GitHub for a complete list. 1.4 v0.10.0 (December 17, 2012) This is a major release from 0.9.1 and includes many new0 码力 | 657 页 | 3.58 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.3constructor (GH9273) • SQL code now safely escapes table and column names (GH8986) • Added auto-complete for Series.str., Series.dt. and Series.cat. (GH9322) • Index.get_indexer now supports ˓→Int64Index([1, 2, 3, 4], dtype='int64') • add copy=True argument to pd.concat to enable pass thru of complete blocks (GH8252) • Added support for numpy 1.8+ data types (bool_, int_, float_, string_) for conversion bugs that have been fixed in 0.13.1. See the full release notes or issue tracker on GitHub for a complete list of all API changes, Enhancements and Bug Fixes. 1.19. v0.13.1 (February 3, 2014) 281 pandas: 0 码力 | 2045 页 | 9.18 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.2constructor (GH9273) • SQL code now safely escapes table and column names (GH8986) • Added auto-complete for Series.str., Series.dt. and Series.cat. (GH9322) • Index.get_indexer now supports ˓→Int64Index([1, 2, 3, 4], dtype='int64') • add copy=True argument to pd.concat to enable pass thru of complete blocks (GH8252) • Added support for numpy 1.8+ data types (bool_, int_, float_, string_) for conversion bugs that have been fixed in 0.13.1. See the full release notes or issue tracker on GitHub for a complete list of all API changes, Enhancements and Bug Fixes. 1.18. v0.13.1 (February 3, 2014) 279 pandas: 0 码力 | 1907 页 | 7.83 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.13.1bugs that have been fixed in 0.13.1. See the full release notes or issue tracker on GitHub for a complete list of all API changes, Enhancements and Bug Fixes. 1.2 v0.13.0 (January 3, 2014) This is a major bugs that have been fixed in 0.13.0. See the full release notes or issue tracker on GitHub for a complete list of all API changes, Enhancements and Bug Fixes. 1.3 v0.12.0 (July 24, 2013) This is a major using the correct file edges (GH4281) See the full release notes or issue tracker on GitHub for a complete list. 1.4 v0.11.0 (April 22, 2013) This is a major release from 0.10.1 and includes many new features0 码力 | 1219 页 | 4.81 MB | 1 年前3
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