BENCH: add DataFrame.reindex(columns=..) benchmark that selects existing columns #40247
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I noticed that the current
df.reindex(columns=idx)benchmark uses an indexer with all-non-existing indices (it usesrange(4000, 7000)as indexer, but there are only 1000 columns), so basically it is benchmarking to create empty (all-NaN) columns. Therefore added a case of reindexing with an indexer consisting of existing column labels.For reindexing the rows, it's already using existing row labels.