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Missing data? NumPy calls it nan. #Python #Pandas displays it as NaN. But: Pandas doesn't define pd.nan or pd.NaN. NumPy removed np.NaN in version 2.0. So you have to refer to np.nan from within Pandas, and it'll be displayed as NaN.