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 What does 1 do in X = np.array(df.drop(['label'], 1))?
#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'])
Thanks,

L
[/url][url=https://docs.scipy.org/doc/numpy/reference/generated/numpy.array.html#numpy.array]
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#2
Actually, that is argument fo df.drop
http://pandas.pydata.org/pandas-docs/sta....drop.html
landlord1984 likes this post
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#3
(Feb-04-2017, 01:19 PM)buran Wrote: Actually, that is argument fo df.drop http://pandas.pydata.org/pandas-docs/sta....drop.html

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