Replace whole Series values by an array

Question

I have a Series that look like this:

13624    A
25257    D
15359    D
26226    D
10797    D
        ..
9733     D
25121    D
10143    C
1448     B
13627    B
Name: points, Length: 10189, dtype: object

And I want to apply the LabelEncoder() function from sklearn.preprocessing and replace all the values.

The le.fit_transform(y_train) function returns this:

array([0, 3, 3, ..., 2, 1, 1])

This array is ordered by the original index, so the idea is to replace exactly the value column with this array.

How can I do that?

Quang Hoang · Accepted Answer · 2020-06-30 14:53:25Z

3

You can try creating a new series with the same index and reassign back:

y_train = pd.Series(le.fit_transform(y_train), index=y_train.index)

answered Jun 30, 2020 at 14:53

Quang Hoang

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1 Comment

vftw Over a year ago

Oh, good idea. Simple and it is working. Thank you :)

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