import numpy as np from numpy import pi # creation 1 a = np.arange(24).reshape(4, 6) print(a) print(a.shape) print(a.itemsize) print(a.dtype) b = np.arange(1, 10, 2) print(b) print(b.size) print(b.shape) # creation 2 c = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32) print(c) print(c.shape) print(c.itemsize) # creation 3 d = np.zeros((3, 4), dtype=np.int64) print(d) d = d.reshape(4, 3) # d.reshape(4, 3) d doesn't change print(d) # creation 4 e = np.empty((3, 4)) # uninitialized print(e) # creation 5 f = np.linspace(0, 9.5, 20).reshape(4, 5) print(f) x = np.linspace(0, 2*pi, 5) print("x = ", x) y = np.sin(x) print("y = ",y) # creation 6 random g = np.random.randint(0, 100, (4, 5), dtype=np.int64) print(g) h = np.random.random_integers(1, 100, (4, 5)); print(h) i = np.random.rand(2, 4) # [0, 1] print(i) j = np.random.randn(3, 4) # N print(j)
numpy学习笔记(一):numpy数组创建
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