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This returns a numpy array:
arr = df["cluster"].to_numpy()
This returns a numpy array of unique values:
unique_arr = df["cluster"].unique()
You can also use numpy to get the unique values, although there are differences between the two methods(df.unique
doesn't sort while np.unique
does):
arr = df["cluster"].to_numpy()
unique_arr = np.unique(arr)