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Replace NaN values in a #Python #Pandas data frame with fillna: 1. Pass it a single value to replace everywhere df.fillna(999) 2. Pass a series/dict whose keys/index match columns; values fill matching columns. df.fillna(df.mean()) df.fillna({'x':999, 'y':888, 'z':777})