擅长:python、mysql、java
<p>用<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.r_.html" rel="nofollow noreferrer">^{<cd1>}</a>为你在引擎盖下创建范围-</p>
<pre><code> np.r_[161:173, 13362:13371, 13383, 13384, 11100, 667, 6503, 6506, 666]
</code></pre>
<p>样本运行-</p>
<pre><code>In [461]: np.r_[161:173, 13362:13371, 13383, 13384, 11100, 667, 6503, 6506, 666]
Out[461]:
array([ 161, 162, 163, 164, 165, 166, 167, 168, 169,
170, 171, 172, 13362, 13363, 13364, 13365, 13366, 13367,
13368, 13369, 13370, 13383, 13384, 11100, 667, 6503, 6506, 666])
</code></pre>
<p>如果您需要一个列表作为输出,请在末尾使用<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.tolist.html" rel="nofollow noreferrer">^{<cd2>}</a>方法-</p>
<pre><code>np.r_[161:173, 13362:13371, 13383, 13384, 11100, 667, 6503, 6506, 666].tolist()
</code></pre>