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railbotan
reviewed
Mar 5, 2022
| "\n", | ||
| "mask = np.random.uniform(2, -12, (5, 5)) \n", | ||
| "matrix = np.copy(mask)\n", | ||
| "for i in range(5):\n", |
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Вместо цикла можно воспользоваться np.tria
railbotan
reviewed
Mar 5, 2022
| "source": [ | ||
| "mask = np.reshape(np.random.normal(10, 2, 25), (5, 5))\n", | ||
| "matrix = np.copy(mask)\n", | ||
| "for i in range(5):\n", |
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Вместо цикла можно воспользоваться np.fill_diagonal
railbotan
reviewed
Mar 5, 2022
| "print(a)\n", | ||
| "b = np.random.randint(0,2,5)\n", | ||
| "print(b)\n", | ||
| "equal = sum(a == b) == len(a)\n", |
railbotan
reviewed
Mar 5, 2022
| "cell_type": "code", | ||
| "source": [ | ||
| "a = np.array([1, np.NaN, np.Inf, np.NaN], float)\n", | ||
| "for i in range(a.shape[0]):\n", |
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Вместо цикла используем булевую индексацию или np.where
railbotan
reviewed
Mar 5, 2022
| "axis = random.randint(1, 32) #maximum supported dimension for an ndarray is 32, found 48\n", | ||
| "print(axis)\n", | ||
| "matrix = np.zeros(tuple(np.ones((axis), dtype=int)))\n", | ||
| "print(len(matrix.shape))" |
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Котов Илья