Python numpy np.logspace 定义 等比数组
logspace 的参数：
start 序列的起始值为：base
** start
stop 序列的终止值为：base
** stop。
num 要生成的等步长的样本数量，默认为
50。
endpoint 该值为 true 时，数列中中包含stop值，反之不包含，默认是
True。
base 对数 log 的底数，用于设置等比数列的底数。
dtype ndarray 的数据类型
示例：
import numpy
as np
a
= np
.logspace
(1.0, 2.0, 2)
print('1 a = ', a
)
a
= np
.logspace
(1.0, 2.0, num
=2)
print('2 a = ', a
)
a
= np
.logspace
(1.0, 2.0, 2, base
=2)
print('3 a = ', a
)
a
= np
.logspace
(1.0, 2.0, 2, True)
print('4 a = ', a
)
a
= np
.logspace
(1.0, 2.0, 2, False)
print('5 a = ', a
)
a
= np
.logspace
(1.0, 2.0, 2, True, 1)
print('6 a = ', a
)
a
= np
.logspace
(1.0, 2.0, 2, True, 2)
print('7 a = ', a
)
a
= np
.logspace
(1.0, 2.0, 2, True, 10)
print('8 a = ', a
)
a
= np
.logspace
(1.0, 2.0, 2, True, 10, int)
print('9 a = ', a
)
a
= np
.logspace
(1.0, 2.0, 2, True, 10, float)
print('10 a = ', a
)
a
= np
.logspace
(1.0, 2.0, 2, True, 10, bool)
print('11 a = ', a
)
a
= np
.logspace
(1.0, 2.0, 2, True, 10, str)
print('12 a = ', a
)
结果
1 a
= [ 10. 100.]
2 a
= [ 10. 100.]
3 a
= [2. 4.]
4 a
= [ 10. 100.]
5 a
= [10. 31.6227766]
6 a
= [1. 1.]
7 a
= [2. 4.]
8 a
= [ 10. 100.]
9 a
= [ 10 100]
10 a
= [ 10. 100.]
11 a
= [ True True]
12 a
= ['10.0' '100.0']
Process finished
with exit code
0
