np.linspace主要用来创建等差数列
对于数列,若满足:![](/i/l/?n=23&i=blog/3071090/202303/3071090-20230310095806078-305650528.png)
numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None, axis=0) Return evenly spaced numbers over a specified interval. (在start和stop之间返回均匀间隔的数据) Returns num evenly spaced samples, calculated over the interval [start, stop]. (返回的是 [start, stop]之间的均匀分布) The endpoint of the interval can optionally be excluded. Changed in version 1.16.0: Non-scalar start and stop are now supported. (可以选择是否排除间隔的终点)
参数含义:
start:返回样本数据开始点 stop:返回样本数据结束点 num:生成的样本数据量,默认为50 endpoint:True则包含stop;False则不包含stop retstep:If True, return (samples, step), where step is the spacing between samples.(即如果为True则结果会给出数据间隔) dtype:输出数组类型 axis:0(默认)或-1
使用例子
>>> np.linspace(-1, 1, 20) array([-1. , -0.89473684, -0.78947368, -0.68421053, -0.57894737, -0.47368421, -0.36842105, -0.26315789, -0.15789474, -0.05263158, 0.05263158, 0.15789474, 0.26315789, 0.36842105, 0.47368421, 0.57894737, 0.68421053, 0.78947368, 0.89473684, 1. ]) >>> >>> np.linspace(-1, 1, 20, endpoint=False) array([-1. , -0.9, -0.8, -0.7, -0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]) >>> >>> >>> np.linspace(-1, 1, 20, retstep=True) (array([-1. , -0.89473684, -0.78947368, -0.68421053, -0.57894737, -0.47368421, -0.36842105, -0.26315789, -0.15789474, -0.05263158, 0.05263158, 0.15789474, 0.26315789, 0.36842105, 0.47368421, 0.57894737, 0.68421053, 0.78947368, 0.89473684, 1. ]), 0.10526315789473684) >>>
标签:stop,0.26315789,用法,start,linspace,np,True From: https://www.cnblogs.com/xuxiaobo/p/17202412.html