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 https://github.com/pandas-dev/pandas/pull/36434