. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 number

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 Reorganization

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 Reorganization

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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53

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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 keyword

backend', '') where API (GH14130) • pandas.offsets.BusinessHour supports multiple opening hours intervals (GH15481) • read_excel() 2019) pandas: powerful Python data analysis toolkit, Release 0.25.1 1.2 Backwards incompatible API changes 1.2.1 Indexing with date strings with UTC offsets Indexing a DataFrame or Series with a DatetimeIndex ....: codes=[[0, -1, 1, 2, 3, 4]]) ....: (continues on next page) 1.2. Backwards incompatible API changes 9 pandas: powerful Python data analysis toolkit, Release 0.25.1 (continued from previous

backend', '') where API (GH14130) • pandas.offsets.BusinessHour supports multiple opening hours intervals (GH15481) • read_excel() 2019) pandas: powerful Python data analysis toolkit, Release 0.25.0 1.2 Backwards incompatible API changes 1.2.1 Indexing with date strings with UTC offsets Indexing a DataFrame or Series with a DatetimeIndex ....: codes=[[0, -1, 1, 2, 3, 4]]) ....: (continues on next page) 1.2. Backwards incompatible API changes 9 pandas: powerful Python data analysis toolkit, Release 0.25.0 (continued from previous

Plan for dropping Python 2.7 for more. This is a major release from 0.23.4 and includes a number of API changes, new features, enhancements, and perfor- mance improvements along with a large number of bug Interval and Period data in a Series or DataFrame • Support for joining on two MultiIndexes Check the API Changes and deprecations before updating. These are the changes in pandas 0.24.0. See Release Notes is enabled through the use of extension types. Note: IntegerArray is currently experimental. Its API or implementation may change without warning. We can construct a Series with the specified dtype.

2.1.0, ...) • Deprecations will be enforced in major releases (e.g. 1.0.0, 2.0.0, 3.0.0, ...) • API-breaking changes will be made only in major releases (except for experimental features) See Version pandas.api.indexers.BaseIndexer() class that allows users to define how window bounds are created during rolling operations. Users can define their own get_window_bounds method on a pandas. api.indexers (GH29975) Warning: StringDtype is currently considered experimental. The implementation and parts of the API may change without warning. The 'string' extension type solves several issues with object-dtype NumPy