numpy.zeros方法中的此参数是什么意思? [英] What does this parameter in numpy.zeros method mean?

问题描述

我有这段代码，发现很难理解以如下所示的方式定义numpy.zeros方法的优点.

I have this piece of code and I am finding it difficult to understand what is advantage of defining the numpy.zeros method the way it is as shown below.

Z = np.zeros((10,10), [('x',float),('y',float)])
Z['x'], Z['y'] = np.meshgrid(np.linspace(0,1,10),
                         np.linspace(0,1,10))

print(Z)

提及x和y的意义是什么?

推荐答案

输出的秘密在numpy.linspace(0,1,10)，输出一个numpy.array，其内容为:

The secret of the output is at numpy.linspace(0,1,10), outputs an numpy.array, with:

[ 0.          0.11111111  0.22222222  0.33333333  0.44444444  0.55555556
  0.66666667  0.77777778  0.88888889  1.        ]

对于'x'形状，对于'y'，其中'0'是起点，'1'是终点，具有10样本.

For 'x' shape, as for 'y', where '0' is where it starts, '1' is where is stops, with 10 samples.

numpy.zeros()正在为"ij"索引定义矩阵形状(M，N)，其中M = N = 10

The numpy.zeros() are defining a matrix shape (M, N) for ‘ij’ indexing, where M = N = 10

numpy.meshgrid()将linspace结果的值索引到矩阵中，例如 ai，aj

The numpy.meshgrid() indexes into the matrix the values of linspace results, like ai, aj

例如

Z = np.zeros((10,10), [('x',int),('y',int)])
Z['x'], Z['y'] = np.meshgrid( np.linspace(0,10,10), np.linspace(0,10,10))
print Z

输出:

[[(0, 0) (1, 0) (2, 0) (3, 0) (4, 0) (5, 0) (6, 0) (7, 0) (8, 0) (10, 0)]
 [(0, 1) (1, 1) (2, 1) (3, 1) (4, 1) (5, 1) (6, 1) (7, 1) (8, 1) (10, 1)]
 [(0, 2) (1, 2) (2, 2) (3, 2) (4, 2) (5, 2) (6, 2) (7, 2) (8, 2) (10, 2)]
 [(0, 3) (1, 3) (2, 3) (3, 3) (4, 3) (5, 3) (6, 3) (7, 3) (8, 3) (10, 3)]
 [(0, 4) (1, 4) (2, 4) (3, 4) (4, 4) (5, 4) (6, 4) (7, 4) (8, 4) (10, 4)]
 [(0, 5) (1, 5) (2, 5) (3, 5) (4, 5) (5, 5) (6, 5) (7, 5) (8, 5) (10, 5)]
 [(0, 6) (1, 6) (2, 6) (3, 6) (4, 6) (5, 6) (6, 6) (7, 6) (8, 6) (10, 6)]
 [(0, 7) (1, 7) (2, 7) (3, 7) (4, 7) (5, 7) (6, 7) (7, 7) (8, 7) (10, 7)]
 [(0, 8) (1, 8) (2, 8) (3, 8) (4, 8) (5, 8) (6, 8) (7, 8) (8, 8) (10, 8)]
 [(0, 10) (1, 10) (2, 10) (3, 10) (4, 10) (5, 10) (6, 10) (7, 10) (8, 10)
  (10, 10)]]

输出矩阵ij标量.

检查下一个网址:

1. numpy.linspace()
2. numpy.zeros()
3. numpy.meshgrid()

1. numpy.linspace()
2. numpy.zeros()
3. numpy.meshgrid()

这篇关于numpy.zeros方法中的此参数是什么意思?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！