 pandas: powerful Python data analysis toolkit - 0.21.1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1.2.1 Improvements to the Parquet IO functionality . . . . . . . . . . . . . . . . . . . . 4 1.1.2.2 Other Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1.4 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1.5 Bug Fixes . . version deprecations/changes . . . . . . . . . . . . . . . . . . . . . . . . 27 1.2.5 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 1.2.6 Documentation0 码力 | 2207 页 | 8.59 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.21.1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1.2.1 Improvements to the Parquet IO functionality . . . . . . . . . . . . . . . . . . . . 4 1.1.2.2 Other Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1.4 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1.5 Bug Fixes . . version deprecations/changes . . . . . . . . . . . . . . . . . . . . . . . . 27 1.2.5 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 1.2.6 Documentation0 码力 | 2207 页 | 8.59 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.20.3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.2 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.3 Bug Fixes . . version deprecations/changes . . . . . . . . . . . . . . . . . . . . . . . . 42 1.3.6 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 1.3.7 Bug Fixes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 1.4.2 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 1.4.3 Bug Fixes . .0 码力 | 2045 页 | 9.18 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.20.3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.2 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.3 Bug Fixes . . version deprecations/changes . . . . . . . . . . . . . . . . . . . . . . . . 42 1.3.6 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 1.3.7 Bug Fixes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 1.4.2 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 1.4.3 Bug Fixes . .0 码力 | 2045 页 | 9.18 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.20.2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1.2 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1.3 Bug Fixes . . version deprecations/changes . . . . . . . . . . . . . . . . . . . . . . . . 40 1.2.6 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 1.2.7 Bug Fixes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 1.3.2 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 1.3.3 Bug Fixes . .0 码力 | 1907 页 | 7.83 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.20.2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1.2 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1.3 Bug Fixes . . version deprecations/changes . . . . . . . . . . . . . . . . . . . . . . . . 40 1.2.6 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 1.2.7 Bug Fixes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 1.3.2 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 1.3.3 Bug Fixes . .0 码力 | 1907 页 | 7.83 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.19.1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1.1 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1.2 Bug Fixes . . version deprecations/changes . . . . . . . . . . . . . . . . . . . . . . . . 37 1.2.5 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 1.2.6 Bug Fixes . . syntax with window and resample operations . . . . . . . . . . . . . . . . 45 Method chaininng improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 Partial string indexing0 码力 | 1943 页 | 12.06 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.19.1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1.1 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1.2 Bug Fixes . . version deprecations/changes . . . . . . . . . . . . . . . . . . . . . . . . 37 1.2.5 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 1.2.6 Bug Fixes . . syntax with window and resample operations . . . . . . . . . . . . . . . . 45 Method chaininng improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 Partial string indexing0 码力 | 1943 页 | 12.06 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.19.0version deprecations/changes . . . . . . . . . . . . . . . . . . . . . . . . 35 1.1.5 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 1.1.6 Bug Fixes . . syntax with window and resample operations . . . . . . . . . . . . . . . . 44 i Method chaininng improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 Partial string indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 1.2.4 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 1.2.5 Bug Fixes . .0 码力 | 1937 页 | 12.03 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.19.0version deprecations/changes . . . . . . . . . . . . . . . . . . . . . . . . 35 1.1.5 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 1.1.6 Bug Fixes . . syntax with window and resample operations . . . . . . . . . . . . . . . . 44 i Method chaininng improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 Partial string indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 1.2.4 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 1.2.5 Bug Fixes . .0 码力 | 1937 页 | 12.03 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.17.0about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release. 1.1 v0.17.0 (October 9, 2015) This is a major release from 0.16.2 and and includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes. We recommend that all users upgrade to this version. Other API Changes – Deprecations – Removal of prior version deprecations/changes • Performance Improvements • Bug Fixes 1.1.1 New features Datetime with TZ We are adding an implementation that natively0 码力 | 1787 页 | 10.76 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.17.0about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release. 1.1 v0.17.0 (October 9, 2015) This is a major release from 0.16.2 and and includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes. We recommend that all users upgrade to this version. Other API Changes – Deprecations – Removal of prior version deprecations/changes • Performance Improvements • Bug Fixes 1.1.1 New features Datetime with TZ We are adding an implementation that natively0 码力 | 1787 页 | 10.76 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.15about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release. 1.1 v0.15.2 (December 12, 2014) This is a minor release from 0.15.1 performance improvements. A small 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 includes a small number of API changes, several new features, en- hancements, and performance improvements along with a large number of bug fixes. We recommend that all users upgrade to this version.0 码力 | 1579 页 | 9.15 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.15about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release. 1.1 v0.15.2 (December 12, 2014) This is a minor release from 0.15.1 performance improvements. A small 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 includes a small number of API changes, several new features, en- hancements, and performance improvements along with a large number of bug fixes. We recommend that all users upgrade to this version.0 码力 | 1579 页 | 9.15 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.15.1about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release. 1.1 v0.15.1 (November 9, 2014) This is a minor bug-fix release from includes a small number of API changes, several new features, en- hancements, and performance improvements along with a large number of bug fixes. We recommend that all users upgrade to this version. and includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes. We recommend that all users upgrade to this version.0 码力 | 1557 页 | 9.10 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.15.1about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release. 1.1 v0.15.1 (November 9, 2014) This is a minor bug-fix release from includes a small number of API changes, several new features, en- hancements, and performance improvements along with a large number of bug fixes. We recommend that all users upgrade to this version. and includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes. We recommend that all users upgrade to this version.0 码力 | 1557 页 | 9.10 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.12about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release. 1.1 v0.12.0 (July 24, 2013) This is a major release from 0.11.0 and method can append levels to an existing Index/MultiIndex (GH1569, GH1577) 1.7.2 Performance improvements • Improved implementation of rolling min and max (thanks to Bottleneck !) • Add accelerated pandas: powerful Python data analysis toolkit, Release 0.12.0 1.8.3 Time series changes and improvements Note: With this release, legacy scikits.timeseries users should be able to port their code to0 码力 | 657 页 | 3.58 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.12about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release. 1.1 v0.12.0 (July 24, 2013) This is a major release from 0.11.0 and method can append levels to an existing Index/MultiIndex (GH1569, GH1577) 1.7.2 Performance improvements • Improved implementation of rolling min and max (thanks to Bottleneck !) • Add accelerated pandas: powerful Python data analysis toolkit, Release 0.12.0 1.8.3 Time series changes and improvements Note: With this release, legacy scikits.timeseries users should be able to port their code to0 码力 | 657 页 | 3.58 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 1.0.0• Added pandas: powerful Python data analysis toolkit - 1.0.0• Added- to the list of default NA values for read_csv() (GH30821) 1.5.15 Documentation Improvements • Added new section on Scaling to large datasets (GH28315). • Added sub-section on Query MultiIndex DatetimeIndex will now return an object array of tz-aware Timestamp (GH24596) • 1.8 Performance improvements • Performance improvement in DataFrame arithmetic and comparison operations with scalars (GH24990 or higher. Note: You are highly encouraged to install these libraries, as they provide speed improvements, especially when working with large data sets. Optional dependencies Pandas has many optional 0 码力 | 3015 页 | 10.78 MB | 1 年前3
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