import numpy as np x = np.array([[1, 2], [3, 4]]) a = x.flatten() b = x.ravel() a[0] = 0 b[1] = 0 print(x.sum())
Задачи по питону и машинному обучению: алгоритмы, функции, классы, регулярные выражения, итераторы, генераторы, ООП, исключения, numpy, pandas, matplotlib, scikit-learn, TensorFlow и др. #Python #ml
import numpy as np x = np.array([[1, 2], [3, 4]]) a = x.flatten() b = x.ravel() a[0] = 0 b[1] = 0 print(x.sum())
import numpy as np x = np.array([[1], [2]]) a = x.ravel() a[0] = 0 print(x.sum())
import numpy as np a = np.array([[1, 2], [3, 4], [5, 6]]) b = a.flatten() print(len(a), len(b))
import numpy as np a = np.arange(4) b = a / 0 print(b)
import numpy as np a = np.linspace(1, 3, 3) ** 3 x = a > 20 y = a < 8 print(x ^ y)
import numpy as np a = np.array(((0, 1), (2, 3))) b = a x = np.sum(a * b) y = np.sum(a @ b) z = np.sum(a.dot(b)) print(x == y, y == z)
import numpy as np x1 = np.linspace(0, 5, 5, endpoint=False) y1 = np.linspace(0, 5, 5, endpoint=True) x2 = np.linspace(0, 5, 5, endpoint=False) y2 = np.linspace(0, 4, 5, endpoint=True) print(np.sum(x1) == np.sum(y1), np.sum(x2) == np.sum(y2))
import numpy as np a = np.arange(2) b = np.arange(1, 2, 1) print(a == b)
import numpy as np a = np.array(((1, 0, 1), (0, 1, 0))) print(a.size)
import numpy as np a = np.array(((1, 0, 1), (0, 1, 0))) print(a.ndim)
import numpy as np a = np.array(((1, 0, 1), (0, 1, 0))) print(a.shape)
import numpy as np x = np.fromfunction(lambda i, j: 2 * i * j, (3, 3), dtype=int) y = np.sum(x[1]) print(y)
def f(i, j):
return i * j
x = np.fromfunction(f, (3, 3), dtype=int)
y = np.sum(x)
print(y)import numpy as np x = np.linspace(0, 5, 5, endpoint=False) y = np.linspace(0, 5, 5, endpoint=True) print(x.size - y.size)