Transforming pandas series into 2D numpy array

Question

I'm trying to use OneHot encoder in the following series:

1       redução
2       redução
3       redução
4       redução
         ...   
1969     normal
1970     normal
1971     normal
1972     normal
1973     normal
Length: 1974, dtype: object

But it's returning me the following error

ValueError: Expected 2D array, got 1D array instead:
array=['redução' 'redução' 'redução' ... 'normal' 'normal' 'normal'].
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.

I already tried the approach above and also tried np.array(s.values.tolist()) and it also didn't work, can anyone help me with this please?

This series has actually 3 unique values, that's why I'm trying to use OneHotEncoder

desertnaut · Accepted Answer · 2021-03-03 08:30:55Z

3

I use the following to one hot encode my pandas data frames:

df_dummy = pd.get_dummies(df['col'])

df = pd.concat([df, df_dummy], axis=1)

edited Mar 3, 2021 at 8:30

desertnaut

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answered Mar 3, 2021 at 3:16

KillerToilet

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