python - Replace Numpy NaN with string in list with strings -
i have list containing string elements, , several nan numpy floats. e.g. l=['foo', 'bar', 'baz', 'nan'] how replace float nan string missing ? most answers found regard issue in pandas dataframe. try 1: for x in l: x=x.replace('nan', 'missing') gives attributeerror: 'float' object has no attribute 'replace' try 2: for x in l: if str(x)=='nan': x=str(x) command executes, nothing changes. advised comments: ['missing' if x 'nan' else x x in l] ['missing' if x np.isnan else x x in l] ['missing' if x np.nan else x x in l] commands execute, nothing changes. i think have bad format nan's (notice nan outputed nan , not 'nan'). answers comment should work: >>> import numpy np >>> l=['foo', 'bar', 'baz', np.nan] >>> print l ['foo', 'bar', 'baz', nan]