How to add k-means predicted clusters in a column to a dataframe in Python

Question

Have a question about kmeans clustering in python.

So I did the analysis that way:

from sklearn.cluster import KMeans

km = KMeans(n_clusters=12, random_state=1)
new = data._get_numeric_data().dropna(axis=1)
kmeans.fit(new)
predict=km.predict(new)

How can I add the column with cluster results to my first dataframe "data" as an additional column? Thanks!

Answer 1

Assuming the column length is as the same as each column in you dataframe df, all you need to do is this:

df['NEW_COLUMN'] = Series(predict, index=df.index)