How can I convert '?' to NaN

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I have a dataset and there are missing values which are encoded as ?. My problem is how can I change the missing values, ?, to NaN? So I can drop any row with NaN. Can I just use .replace() ?


Use replace:

 df = df.replace('?', np.nan)

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You can also read the data initially by passing df = pd.read_csv('filename',na_values = '?') It will automatically replace '?' to NaN

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If you want to drop the row which contain '?', you do not need to change '?' to 'NaN'

df[(df=='?').sum(1)==0]

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You can also do like this,

df[df == '?'] = np.nan

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