Find all the indexes whose labels equal 2 using np.where and the label array y. The output should be saved in two class idx. Reminder: Remember to index np.where() at zero # TODO two_class_idx = np.where(y == 2 )[0] print(f"two_class_idx output: \n {two_class_idx}") try: print(f"two_class_idx shape: {two_class_idx.shape}") except Exception: pass ([ (isinstance(two_class_idx, np.ndarray),f'two_class_idx is not an NumPy array! two_class_idx is currently a {type(two_class_idx)}'), (np.all(two_class_idx == np.array([3,9,11,12,16])),'two_class_idx does not contain the correct location values') ])
Find all the indexes whose labels equal 2 using np.where and the label array y. The output should be saved in two class idx. Reminder: Remember to index np.where() at zero # TODO two_class_idx = np.where(y == 2 )[0] print(f"two_class_idx output: \n {two_class_idx}") try: print(f"two_class_idx shape: {two_class_idx.shape}") except Exception: pass ([ (isinstance(two_class_idx, np.ndarray),f'two_class_idx is not an NumPy array! two_class_idx is currently a {type(two_class_idx)}'), (np.all(two_class_idx == np.array([3,9,11,12,16])),'two_class_idx does not contain the correct location values') ])
Chapter6: Using Arrays
Section: Chapter Questions
Problem 17RQ
Related questions
Question
Find all the indexes whose labels equal 2 using np.where and the label array y. The output should be saved in two class idx.
Reminder: Remember to index np.where() at zero
# TODO
two_class_idx = np.where(y == 2 )[0]
print(f"two_class_idx output: \n {two_class_idx}")
try:
print(f"two_class_idx shape: {two_class_idx.shape}")
except Exception:
pass
([
(isinstance(two_class_idx, np.ndarray),f'two_class_idx is not an NumPy array! two_class_idx is currently a {type(two_class_idx)}'),
(np.all(two_class_idx == np.array([3,9,11,12,16])),'two_class_idx does not contain the correct location values')
])
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