combina- tions • VBENCH New Cython vectorized function map_infer speeds up Series.apply and Series.map sig- nificantly when passed elementwise Python function, motivated by (PR355) • VBENCH Significantly improved

combina- tions • VBENCH New Cython vectorized function map_infer speeds up Series.apply and Series.map sig- nificantly when passed elementwise Python function, motivated by (PR355) • VBENCH Significantly improved

combina- tions • VBENCH New Cython vectorized function map_infer speeds up Series.apply and Series.map sig- nificantly when passed elementwise Python function, motivated by (PR355) • VBENCH Significantly improved

combina- tions • VBENCH New Cython vectorized function map_infer speeds up Series.apply and Series.map sig- nificantly when passed elementwise Python function, motivated by (GH355) • VBENCH Significantly improved

defined function with values and index as the first and second arguments respectively in the function sig- nature. Each group’s index will be passed to the user defined function and optionally available for defined function with values and index as the first and second arguments respectively in the function sig- nature. Each group’s index will be passed to the user defined function and optionally available for defined function with values and index as the first and second arguments respectively in the function sig- 3.10. GroupBy 2479 pandas: powerful Python data analysis toolkit, Release 1.3.3 nature. Each group’s

defined function with values and index as the first and second arguments respectively in the function sig- nature. Each group’s index will be passed to the user defined function and optionally available for defined function with values and index as the first and second arguments respectively in the function sig- nature. Each group’s index will be passed to the user defined function and optionally available for defined function with values and index as the first and second arguments respectively in the function sig- 3.10. GroupBy 2479 pandas: powerful Python data analysis toolkit, Release 1.3.4 nature. Each group’s

defined function with values and index as the first and second arguments respectively in the function sig- nature. Each group’s index will be passed to the user defined function and optionally available for defined function with values and index as the first and second arguments respectively in the function sig- nature. Each group’s index will be passed to the user defined function and optionally available for defined function with values and index as the first and second arguments respectively in the function sig- 2546 Chapter 3. API reference pandas: powerful Python data analysis toolkit, Release 1.4.2 nature

defined function with values and index as the first and second arguments respectively in the function sig- nature. Each group’s index will be passed to the user defined function and optionally available for defined function with values and index as the first and second arguments respectively in the function sig- nature. Each group’s index will be passed to the user defined function and optionally available for defined function with values and index as the first and second arguments respectively in the function sig- 2548 Chapter 3. API reference pandas: powerful Python data analysis toolkit, Release 1.4.4 nature

defined function with values and index as the first and second arguments respectively in the function sig- nature. Each group’s index will be passed to the user defined function and optionally available for defined function with values and index as the first and second arguments respectively in the function sig- nature. Each group’s index will be passed to the user defined function and optionally available for defined function with values and index as the first and second arguments respectively in the function sig- nature. Each group’s index will be passed to the user defined function and optionally available for

combina- tions • VBENCH New Cython vectorized function map_infer speeds up Series.apply and Series.map sig- nificantly when passed elementwise Python function, motivated by (GH355) • VBENCH Significantly improved