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| 03d409ec35034d78a3a625dcaf1744117587b93c | Improve the speed of from_dataframe with a MultiIndex (by 40x!) (#4184) * Add MultiIndexSeries.time_to_xarray() benchmark * Improve the speed of from_dataframe with a MultiIndex Fixes GH-2459 Before: pandas.MultiIndexSeries.time_to_xarray ======= ========= ========== -- subset ------- -------------------- dtype True False ======= ========= ========== int 505±0ms 37.1±0ms float 485±0ms 38.3±0ms ======= ========= ========== After: pandas.MultiIndexSeries.time_to_xarray ======= ========= ========== -- subset ------- -------------------- dtype True False ======= ========= ========== int 11.5±0ms 39.2±0ms float 12.5±0ms 26.6±0ms ======= ========= ========== There are still some cases where we have to fall back to the existing slow implementation, but hopefully they should now be relatively rare. * remove unused import * Simplify converting MultiIndex dataframes * remove comments * remove types with NA * more multiindex dataframe tests * add whats new note * Preserve order of MultiIndex levels in from_dataframe * Add todo note * Rewrite from_dataframe to avoid passing around a dataframe * Require that MultiIndexes are unique even with sparse=True * clarify comment | 2020-07-02T20:39:00Z | 2020-07-02T20:39:00Z | f10b21bed2846b879806f87039b77245b18e7671 | cd792325681cbad9f663f2879d8b69f1edbb678f | 13221727 | 1217238 | 19864447 |