3.0.0, ...) • API-breaking changes will be made only in major releases (except for experimental features) See Version Policy for more. {{ header }} 1.2 Enhancements 1.2.1 Using Numba in rolling.apply | A | B | |:---|----:|----:| | a | 1 | 1 | | a | 2 | 2 | | b | 3 | 3 | 1.3 Experimental new features 1.3.1 Experimental NA scalar to denote missing values A new pd.NA value (singleton) is introduced string dtype. In [12]: s.str.upper() Out[12]: 0 ABC (continues on next page) 1.3. Experimental new features 5 pandas: powerful Python data analysis toolkit, Release 1.0.0 (continued from previous page)

reindex() is the fundamental data alignment method in pandas. It is used to implement nearly all other features relying on label-alignment functionality. To reindex means to conform the data to match a given freedom and flexibility in interactive data analysis and research. The integrated data alignment features of the pandas data structures set pandas apart from the majority of related tools for working with pandas operations are shown below. In addition to these functions pandas supports other Time Series features not available in Base SAS (such as resampling and custom offsets) - see the timeseries documentation

Routines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 718 2.16.10 Other useful features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 719 2.16.11 Examples pandas operations are shown below. In addition to these functions pandas supports other Time Series features not available in Base SAS (such as resampling and custom offsets) - see the timeseries documentation pandas operations are shown below. In addition to these functions, pandas supports other Time Series features not available in Stata (such as time zone handling and custom offsets) – see the timeseries documentation

Routines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 718 2.16.10 Other useful features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 719 2.16.11 Examples pandas operations are shown below. In addition to these functions pandas supports other Time Series features not available in Base SAS (such as resampling and custom offsets) - see the timeseries documentation pandas operations are shown below. In addition to these functions, pandas supports other Time Series features not available in Stata (such as time zone handling and custom offsets) – see the timeseries documentation

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 703 iii 2.13.9 Other useful features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 705 2.13.10 Examples reindex() is the fundamental data alignment method in pandas. It is used to implement nearly all other features relying on label-alignment functionality. To reindex means to conform the data to match a given freedom and flexibility in interactive data analysis and research. The integrated data alignment features of the pandas data structures set pandas apart from the majority of related tools for working with

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 706 iii 2.13.9 Other useful features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 708 2.13.10 Examples reindex() is the fundamental data alignment method in pandas. It is used to implement nearly all other features relying on label-alignment functionality. To reindex means to conform the data to match a given freedom and flexibility in interactive data analysis and research. The integrated data alignment features of the pandas data structures set pandas apart from the majority of related tools for working with

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 704 3.13.9 Other useful features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 706 3.13.10 Examples reindex() is the fundamental data alignment method in pandas. It is used to implement nearly all other features relying on label-alignment functionality. To reindex means to conform the data to match a given freedom and flexibility in interactive data analysis and research. The integrated data alignment features of the pandas data structures set pandas apart from the majority of related tools for working with

Routines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 771 2.18.10 Other useful features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 771 iv 2.18.11 Examples pandas operations are shown below. In addition to these functions pandas supports other Time Series features not available in Base SAS (such as resampling and custom offsets) - see the timeseries documentation pandas operations are shown below. In addition to these functions, pandas supports other Time Series features not available in Stata (such as time zone handling and custom offsets) – see the timeseries documentation

Routines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 802 2.18.10 Other useful features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 802 iv 2.18.11 Examples pandas operations are shown below. In addition to these functions pandas supports other Time Series features not available in Base SAS (such as resampling and custom offsets) - see the timeseries documentation pandas operations are shown below. In addition to these functions, pandas supports other Time Series features not available in Stata (such as time zone handling and custom offsets) – see the timeseries documentation

Routines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 803 2.18.10 Other useful features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 803 iv 2.18.11 Examples pandas operations are shown below. In addition to these functions pandas supports other Time Series features not available in Base SAS (such as resampling and custom offsets) - see the timeseries documentation pandas operations are shown below. In addition to these functions, pandas supports other Time Series features not available in Stata (such as time zone handling and custom offsets) – see the timeseries documentation