Sklearn transform error: Expected 2D array, got 1D array instead

Question

I use sklearn to transform data with this code.

sc = MinMaxScaler()

test= df['outcome']
y = sc.fit_transform(test)

It show error like this.

ValueError: Expected 2D array, got 1D array instead:
array=[ 21000. 36000.  5000. ...  7000.  12000.  11000.].
Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.

How to fix it?

try test.reshape(len(test), 1) and then apply fit_transform. — Sociopath
– Sociopath, Commented Oct 22, 2019 at 6:32

Aryerez · Accepted Answer · 2019-10-22 07:01:55Z

31

If I remember correctly, MinMaxScalar can accept a pandas dataframe but not a series, so just do test = df[['outcome']] (dataframe with one column) instead of test = df['outcome'] (a series).

answered Oct 22, 2019 at 7:01

Aryerez

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GIRISH kuniyal · Accepted Answer · 2019-10-22 06:42:18Z

5

MinMaxScaler required numpy input shape as (num_sample,1) but you are giving input as shape (num_sample,) Try this code :

sc = MinMaxScaler()
test= df['outcome'].values #convert to numpy array
y = sc.fit_transform(test.reshape(-1,1))

answered Oct 22, 2019 at 6:42

GIRISH kuniyal

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Comments

lcoandrade · Accepted Answer · 2023-10-25 21:34:25Z

0

Use the error message in your favor. Use this code:

y = sc.fit_transform(np.reshape(test, (-1,1)))

answered Oct 25, 2023 at 21:34

lcoandrade

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