编程就是踩坑的过程。今天又踩了一个坑，做个积累吧。
在给数组赋初始值的时候，经常会用到0数组，而Python中，我们使用zero（）函数来实现。在默认的情况下，zeros创建的数组元素类型是浮点型的，如果要使用其他类型，可以设置dtype参数进行声明。下面通过一个例子来说明：
１默认参数的例子：
import numpy as npr = 10c = 10D0 = np.zeros((11,11))#D0 = np.zeros((11,11),dtype=int)D0[0, 1:] = 32767D0[1:, 0] = 32767for i in range(r): for j in range(c): D0[i + 1, j + 1] = 1 print D0~
运行结果：
[[ 0.00000000e+00 3.27670000e+04 3.27670000e+04 3.27670000e+04 3.27670000e+04 3.27670000e+04 3.27670000e+04 3.27670000e+04 3.27670000e+04 3.27670000e+04 3.27670000e+04] [ 3.27670000e+04 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00] [ 3.27670000e+04 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00] [ 3.27670000e+04 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00] [ 3.27670000e+04 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00] [ 3.27670000e+04 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00] [ 3.27670000e+04 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00] [ 3.27670000e+04 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00] [ 3.27670000e+04 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00] [ 3.27670000e+04 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00] [ 3.27670000e+04 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00]]
２ 参数为整形的例子：
1 import numpy as np 2 3 r = 10 4 c = 10 5 6 #D0 = np.zeros((11,11)) 7 D0 = np.zeros((11,11),dtype=int) 8 9 D0[0, 1:] = 3276710 D0[1:, 0] = 3276711 12 for i in range(r):13 for j in range(c):14 D0[i + 1, j + 1] = 1 15 print D0
运行结果：
[[ 0 32767 32767 32767 32767 32767 32767 32767 32767 32767 32767] [32767 1 1 1 1 1 1 1 1 1 1] [32767 1 1 1 1 1 1 1 1 1 1] [32767 1 1 1 1 1 1 1 1 1 1] [32767 1 1 1 1 1 1 1 1 1 1] [32767 1 1 1 1 1 1 1 1 1 1] [32767 1 1 1 1 1 1 1 1 1 1] [32767 1 1 1 1 1 1 1 1 1 1] [32767 1 1 1 1 1 1 1 1 1 1] [32767 1 1 1 1 1 1 1 1 1 1] [32767 1 1 1 1 1 1 1 1 1 1]]
可以看出，该zeros默认的是float类型，要使用别的类型需要加符号的，我就是在这个上面躺枪了。