shigemk2 https://blog.hatena.ne.jp/shigemk2/ by shigemk2 https://www.shigemk2.com/ Python argmaxで、最大値のインデックスをとる >>> import numpy as np >>> a = np.array([1,2,3,4,5]) >>> np.argmax(a) 4 最大値な値が複数あったら、最初のインデックスをとる >>> b = np.array([3,3,1,2,0]) >>> np.argmax(b) 0 numpy.argmax — NumPy v1.15 Manual 190 <iframe src="https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.shigemk2.com%2Fentry%2F2018%2F08%2F14%2F181330" title="numpy argmax - by shigemk2" class="embed-card embed-blogcard" scrolling="no" frameborder="0" style="display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;"></iframe> Hatena Blog https://hatena.blog 2018-08-14 18:13:30 rich https://www.shigemk2.com/entry/2018/08/14/181330 1.0 100%