Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. To the execute the routine using Numba instead of Cython. Using the Numba engine can yield significant performance gains if the apply function can operate on numpy arrays and the data set is larger (1 million rows Timestamp (GH24596) • 1.8 Performance improvements • Performance improvement in DataFrame arithmetic and comparison operations with scalars (GH24990, GH29853) • Performance improvement in indexing with

Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. See and DataFrame. take() (GH17352) 1.5 Performance improvements • Significant speedup in SparseArray initialization that benefits most operations, fixing performance regres- sion introduced in v0.20.0 (GH24985) faster when outputting data with any string or non-native endian columns (GH25045) • Improved performance of Series.searchsorted(). The speedup is especially large when the dtype is int8/int16/int32 and

Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. See and DataFrame. take() (GH17352) 1.5 Performance improvements • Significant speedup in SparseArray initialization that benefits most operations, fixing performance regres- sion introduced in v0.20.0 (GH24985) faster when outputting data with any string or non-native endian columns (GH25045) • Improved performance of Series.searchsorted(). The speedup is especially large when the dtype is int8/int16/int32 and

formats . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343 2.4.20 Performance considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343 2.5 Indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 835 2.21 Enhancing performance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 835 2.21.1 Cython Documentation improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2481 4.8.8 Performance monitoring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2481 4.8.9

formats . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343 2.4.20 Performance considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343 2.5 Indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 835 2.21 Enhancing performance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 835 2.21.1 Cython Documentation improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2481 4.8.8 Performance monitoring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2481 4.8.9

formats . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338 2.1.20 Performance considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338 2.2 Indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 818 2.18 Enhancing performance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 818 2.18.1 Cython docstring validation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2387 4.8.9 Performance monitoring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2387 4.8.10

formats . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338 2.1.20 Performance considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338 2.2 Indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 821 2.18 Enhancing performance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 821 2.18.1 Cython docstring validation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2383 4.8.9 Performance monitoring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2383 4.8.10

formats . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340 3.1.20 Performance considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340 3.2 Indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 819 3.18 Enhancing performance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 819 3.18.1 Cython docstring validation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2373 5.8.9 Performance monitoring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2373 5.8.10

Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. See these would be cast to a NumPy array with object dtype. In general, this should result in better performance when storing an array of intervals or periods in a Series or column of a DataFrame. Use Series the first sparse array continues to be used. In addition to these API breaking changes, many Performance Improvements and Bug Fixes have been made. Finally, a Series.sparse accessor was added to provide

formats . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405 2.4.22 Performance considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405 2.5 Indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 935 2.23 Enhancing performance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 935 2.23.1 Cython . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2732 4.4.8 Running the performance test suite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2733 4.4.9 Documenting