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On master:
In [1]: df = pd.DataFrame(np.random.randn(1_000_000, 10)) In [3]: %timeit repr(df) 2.5 s ± 340 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
while on released version this takes around 20ms
cc @ivanovmg I suppose this is from #36434