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 What does 1 do in X = np.array(df.drop(['label'], 1))?
X = np.array(df.drop(['label'], 1))
I understand this code is to convert a Pandas's dataframe into a numpy array without a column labelled as "label".
But what is 1 doing here?

Accoding to numpy array's definition:numpy.array(object, dtype=None, copy=True, order='K', subok=False, ndmin=0)

it seems is about datatype? I have tried to delete 1, this will produce errors. So 1 is essential here.

On the other hand, if I convert one dataframe's column to a numpy array, it works without a second argument:

y = np.array(df['label'])

Actually, that is argument fo df.drop
landlord1984 likes this post
(Feb-04-2017, 01:19 PM)buran Wrote: Actually, that is argument fo df.drop

Arha....I need to take a rest. My eye seems not working.

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