:def find_nearest(a, a0): "Element in nd array `a` closest to the scalar value `a0`" idx = np.abs(a - a0).argmin()  ...
def find_nearest(a, a0): "Element in nd array `a` closest to the scalar value `a0`" idx = np.abs(a - a0).argmin() return a.flat[idx] 或者,写成一行: a.flat[np.abs(a - a0).argmin()] 查看完整回答 反对 回复 2019-08-03 没有找到匹配的内容?试试慕课网站内搜索吧向你推荐请问...
# Checking both the shape and the element values, no tolerance (values have to be exactly equal) equal = np.array_equal(A,B) print(equal) 43. Make an array immutable (read-only) (★★☆) 使一个数组不变(只读) Z = np.zeros(10) Z.flags.writeable = False Z[0] = 1 44. Consider...
allclose(A,B) print(equal) # Checking both the shape and the element values, no tolerance (values have to be exactly equal) equal = np.array_equal(A,B) # 形状和元素都相等则为True,否则为False print(equal) # 43. Make an array immutable (read-only) Z = np.zeros(10) Z.flags....
14. Create a random vector of size 30 and find the mean value (★☆☆) 创建一个长度为30的随机值数组,并找到平均值 Z = np.random.random(30) m = Z.mean() print(m) 15. Create a 2d array with 1 on the border and 0 inside (★☆☆) 创建一个四边为1,中间为0的二维数组, Z = np...
random.choice([False, True], size=100000) >>> x array([ True, False, True, ..., True, False, True]) With a Python for loop, one way to do this would be to evaluate, in pairs, the truth value of each element in the sequence along with the element that comes right after it:...
but there is no vectorized addition for an array of dicts because there is no addition for dicts defined in pure Python. Numpy is not using its vectorized routines—it's calling Python code on each element. The same applies to variable-length data, such as lists of lists, where the inner...
20.Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? print(np.unravel_index(99,(6,7,8))) 21.Create a checkerboard 8x8 matrix using the tile function (★☆☆) Z = np.tile( np.array([[0,1],[1,0]]), (4,4)) ...
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