{"blog_title":"Remrin\u306epython\u653b\u7565\u65e5\u8a18","provider_url":"https://hatena.blog","title":"NumPy\u306e\u4f7f\u3044\u65b9\uff08\uff17\uff09\u3000\u7d71\u8a08\u95a2\u6570\u3001\u6700\u5927\u30fb\u6700\u5c0f","type":"rich","provider_name":"Hatena Blog","published":"2017-05-12 00:41:12","width":"100%","url":"https://python-remrin.hatenadiary.jp/entry/2017/05/12/004112","author_url":"https://blog.hatena.ne.jp/rare_Remrin/","image_url":null,"height":"190","version":"1.0","blog_url":"https://python-remrin.hatenadiary.jp/","categories":["numpy","\u30e9\u30a4\u30d6\u30e9\u30ea","python","\u7d71\u8a08"],"description":"NumPy\u306e\u7d71\u8a08\u95a2\u6570\u306e\u4f7f\u3044\u65b9 ndarray\u914d\u5217\u5168\u4f53\u3001\u3042\u308b\u3044\u306f\u7279\u5b9a\u306e\u8ef8\u306b\u3064\u3044\u3066\u306e\u7d71\u8a08\u51e6\u7406\u3092\u3059\u308b\u3002 sum\u3084mean\u306a\u3069\u306e\u96c6\u8a08\u51e6\u7406\u306f\u6b21\u5143\u524a\u6e1b\u306b\u306a\u308b\u3002 axis=0 \u7e26\u65b9\u5411\u306breduce axis=1 \u6a2a\u65b9\u5411\u306bredece sum \u548c\u3002 \u9577\u30550\u306e\u914d\u5217\u3067\u306f0\u3092\u8fd4\u3059\u3002 mean \u5e73\u5747\u3002\u9577\u30550\u306e\u914d\u5217\u3067\u306fNaN\u3092\u8fd4\u3059\u3002 var \u5206\u6563 std \u6a19\u6e96\u504f\u5dee min \u6700\u5c0f\u5024, amin\u3082\u540c\u3058 max \u6700\u5927\u5024, amax\u3082\u540c\u3058 nanmin NaN\u3092\u7121\u8996\u3057\u305f\u6700\u5c0f\u5024 nanmax NaN\u3092\u7121\u8996\u3057\u305f\u6700\u5927\u5024 minimun 2\u3064\u306e\u914d\u5217\u3092\u6bd4\u8f03\u3057\u3066\u5c0f\u3055\u3044\u8981\u7d20\u3001NaN\u3092\u512a\u5148 maximun 2\u3064\u306e\u914d\u5217\u3092\u6bd4\u8f03\u3057\u3066\u5927\u304d\u3044\u8981\u7d20\u3001Na\u2026","author_name":"rare_Remrin","html":""}