python - Grouping Numpy Array and Returning Minimum Values -


i have ndarray this:

data = [(1,"yes", 54.234),           (1,"yes", 1.0001),           (2,"yes", 4.234),          (3,"yes", 0.234)] dtypes = [("groupid", np.int),            ("hasnear", "|s255"),            ("distance", np.float64)] array = np.array(data, dtype=dtypes)

is there way group data , return minimum distance in each group in new array?

in example, have 4 rows. after group , return minimum, expect 3 rows returned. 1 each groupid value.

if numpy arrays aren't right tool, in pandas?

thank you

create pandas dataframe, group groupid , aggregate min():

df = pd.dataframe(data, columns=('groupid','hasnear','distance')) df.groupby('groupid').min()

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