Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.2 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.3 Bug now supports compression . . . . . . . . . . . . . . . . . . . . . . . 13 1.3.1.7 UInt64 Support Improved . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 1.3.1.8 GroupBy on Categoricals of prior version deprecations/changes . . . . . . . . . . . . . . . . . . . . . . . . 42 1.3.6 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 1.3.7 Bug

Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1.2 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1.3 Bug now supports compression . . . . . . . . . . . . . . . . . . . . . . . 12 1.2.1.7 UInt64 Support Improved . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.2.1.8 GroupBy on Categoricals of prior version deprecations/changes . . . . . . . . . . . . . . . . . . . . . . . . 40 1.2.6 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 1.2.7 Bug

Deprecations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1.4 Performance Improvements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1.5 Bug 1.2 infer_objects type conversion . . . . . . . . . . . . . . . . . . . . . . . . . . 9 1.2.1.3 Improved warnings when attempting to create columns . . . . . . . . . . . . . . . 9 1.2.1.4 drop now also 7 PeriodIndex resampling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 1.2.2.8 Improved error handling during item assignment in pd.eval . . . . . . . . . . . . . 21 1.2.2.9 Dtype Conversions

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) now 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

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) now 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

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