DataFrame.replace: TypeError: Cannot compare types 'ndarray(dtype=int64)' and 'unicode'

Code Sample, a copy-pastable example if possible

path1 = '/some.xls'
df1 = pd.read_excel(path1)
columns_values_map={
    'positive': {
        '正面':1,
        '中立': 1,
        '负面':0
    }
}

df1.replace(columns_values_map)

Problem description

got error: TypeError: Cannot compare types 'ndarray(dtype=int64)' and 'unicode'

Actually df1['positive'] only has value in (0, 1) , but I think it should not throw exception here.

[diegoquintanav]

I’m having the same problem. I say a flag like the one that to_numeric has would do great here.

[TomAugspurger]

For consistency, and since replace is a general purpose find / replace method, it’d be nice if this didn’t raise a TypeError.