Numpy: Filter matrix rows (selecting some rows)
examples/numpy/filter_matrix.py
import numpy as np names = np.array(['Mary', 'Bar', 'Joe', 'Jane']) print(names) print() def has_ar(text): return "ar" in text # if "ar" in text: # return True # else: # return False names_with_ar_selector = np.vectorize(has_ar) names_with_ar_bool = names_with_ar_selector(names) print(names_with_ar_bool) print() scores = np.array([ [23, 37, 18, 97, 13, 40], [10, 15, 20, 30, 39, 50], [99, 20, 83, 42, 19, 31], [19, 11, 55, 78, 39, 27] ]) print(scores[names_with_ar_bool])
['Mary' 'Bar' 'Joe' 'Jane'] [ True True False False] [[23 37 18 97 13 40] [10 15 20 30 39 50]] [[23 37 18 97 13 40] [10 15 20 30 39 50]]