关于:
numpy.logspace(开始,停止,num = 50,端点= True,基数= 10.0,dtype =无):以对数刻度平均间隔间隔返回数字间隔。
参数:
-> start : [float] start(base ** start) of interval range. -> stop : [float] end(base ** stop) of interval range -> endpoint : [boolean, optional]If True, stop is the last sample. By default, True -> num : [int, optional] No. of samples to generate -> base : [float, optional] Base of log scale. By default, equals 10.0 -> dtype : type of output array
返回:
-> ndarray
代码1:解释logspace()的使用
# Python Programming illustrating
# numpy.logspace method
import numpy as geek
# base = 11
print("B\n", geek.logspace(2.0, 3.0, num=5, base = 11))
# base = 10
print("B\n", geek.logspace(2.0, 3.0, num=5))
# base = 10, dtype = int
print("B\n", geek.logspace(2.0, 3.0, num=5, dtype = int))
输出:
B [ 121. 220.36039471 401.31159963 730.8527479 1331. ] B [ 100. 177.827941 316.22776602 562.34132519 1000. ] B [ 100 177 316 562 1000]
代码2:使用matplotlib模块的numpy.logspace()的图形表示-pylab
# Graphical Represenation of numpy.logspace()
import numpy as geek
import pylab as p
# Start = 0
# End = 2
# Samples to generate = 10
x1 = geek.logspace(0, 1, 10)
y1 = geek.zeros(10)
# Start = 0.1
# End = 1.5
# Samples to generate = 12
x2 = geek.logspace(0.1, 1.5, 12)
y2 = geek.zeros(12)
p.plot(x1, y1+0.05, 'o')
p.xlim(-0.2, 18)
p.ylim(-0.5, 1)
p.plot(x2, y2, 'x')
输出:
注意:
这些NumPy-Python程序不会在onlineID上运行,因此请在您的系统上运行它们以进行探索
相似方法:
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注:本文由纯净天空筛选整理自 numpy.logspace() in Python。非经特殊声明,原始代码版权归原作者所有,本译文未经允许或授权,请勿转载或复制。