yuta-nakata https://blog.hatena.ne.jp/yuta-nakata/ Yuta NakataのBlog https://www.yuta-nakata.net/ Python Numpy 困った点 import numpy as np data = np.array([1.23, 4.56, 7.89], dtype=np.float32) no_value = np.float32(-9999) factor = 100 data = np.ma.masked_equal(data, no_value) # 1. Using data[~data.mask] result1 = data[~data.mask] * factor print(result1) # [[123.00000191 455.99999428 788.99998665]] print(type(res… 190 <iframe src="https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.yuta-nakata.net%2Fentry%2F2025%2F06%2F15%2F135518" title="【Python/NumPy】MaskedArrayとndarrayの違いと注意点｜データ欠損処理の落とし穴 - Yuta NakataのBlog" 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 2025-06-15 13:55:18 rich https://www.yuta-nakata.net/entry/2025/06/15/135518 1.0 100%