AttributeError: 'Series' object has no attribute 'reshape'

Question

I\'m using sci-kit learn linear regression algorithm. While scaling Y target feature with:

Ys = scaler.fit_transform(Y)

I got

Answer 1

You cannot reshape a pandas series, so you need to perform the operation on a numpy array. As others have suggested, you can use y.values.reshape(-1, 1), but if you want to impress your friends, you can use:

y.values[Ellipsis, None]

Which is equivalent to:

y.values[..., None]

It basically means all dimensions as they where, then a new dimension for the last one. Here's a fully working example:

import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler

y = pd.Series(np.random.rand(5))

0    0.497165
1    0.818659
2    0.327064
3    0.772548
4    0.095715
dtype: float64

scaler = StandardScaler()

scaler.fit_transform(y.values[Ellipsis, None])

array([[-0.019],
       [ 1.165],
       [-0.645],
       [ 0.995],
       [-1.496]])