\u4ee5\u524d\u3001Python\u306epandas\u306b\u3064\u3044\u3066\u5c11\u3057\u8a18\u8f09\u3057\u305f\u3068\u601d\u3044\u307e\u3059\u304c\u4eca\u56de\u306fnumpy\u306b\u3064\u3044\u3066\u8a18\u8f09\u3057\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n
numpy\u306fPython\u3067\u5b66\u8853\u8a08\u7b97\u3092\u3059\u308b\u305f\u3081\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002
\n\u57fa\u672c\u7684\u306a\u8a08\u7b97\u306fPython\u3067\u3082\u53ef\u80fd\u3067\u3059\u304c\u3001
\nnumpy\u3092\u4f7f\u7528\u3059\u308b\u3068\u8a08\u7b97\u901f\u5ea6\u304c\u9ad8\u901f\u306a\u308a\u8907\u96d1\u306a\u8a08\u7b97\u5f0f\u3082\u7c21\u5358\u306b\u3057\u3066\u304f\u308c\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u6a5f\u68b0\u5b66\u7fd2\u3067\u3082numpy\u304c\u3088\u304f\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
numpy\u306f\u914d\u5217\u3092\u6271\u3044N\u6b21\u5143\u914d\u5217\u306e\u64cd\u4f5c\u53ef\u80fd\u306b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
1\u6b21\u5143\u3067\u3042\u308c\u3070\u30d9\u30af\u30c8\u30eb\u30012\u6b21\u5143\u3067\u3042\u308c\u3070\u884c\u5217\u30013\u6b21\u5143\u4ee5\u4e0a\u3067\u3042\u308c\u3070\u30c6\u30f3\u30bd\u30eb\u3092\u6271\u3046\u3053\u3068\u304c\u53ef\u80fd\u3002
\n\uff08\u6570\u5b66\u7684\u306a\u90e8\u5206\u3067\u3059\u306d\u3002\uff09<\/p>\n
numpy\u914d\u5217\u306e\u3044\u304f\u3064\u304b\u4f8b\u3092\u4e0b\u8a18\u306b\u8a18\u8f09\u3057\u307e\u3059\u3002<\/p>\n
\u3067\u306f\u3001\u3044\u3064\u3082\u306eimport\u3067\u4f7f\u7528\u53ef\u80fd\u306b\u3057\u3066\u304f\u3060\u3055\u3044\u3002
\n\uff08\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u306a\u3044\u5834\u5408\u306f\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u304f\u3060\u3055\u3044\u3002\uff09
\nimport numpy as np<\/p>\n
\u25bc\u4e00\u6b21\u5143\u306e\u64cd\u4f5c
\nxxx = np.array([1,2,3])
\nprint(xxx)
\nxxx = xxx + 1
\nprint(xxx)<\/p>\n
[\u5b9f\u884c\u7d50\u679c]
\n[1, 2, 3]
\n[2, 3, 4]<\/p>\n
\u25bc\u4e8c\u6b21\u5143\u306e\u64cd\u4f5c
\nyyy = np.array([[1,2,3],[4,5,6]])
\nprint(yyy)
\nyyy = yy * 2<\/p>\n
yyy2 = np.array([[10,20,30],[40,50,60]])
\nprint(yyy + yyy2)<\/p>\n
[\u5b9f\u884c\u7d50\u679c]
\n[[1 2 3]
\n[4 5 6]]<\/p>\n
[[2 4 6]
\n[8 10 12]]<\/p>\n
[[11 22 33]
\n[44 55 66]]<\/p>\n
\u25bc\u4e09\u6b21\u5143\u306e\u64cd\u4f5c
\nprint(np.arange(24).reshape(3, 2, 4))<\/p>\n
[\u5b9f\u884c\u7d50\u679c]
\n[[[ 0\u00a0 1\u00a0 2\u00a0 3]
\n[ 4\u00a0 5\u00a0 6\u00a0 7]]<\/p>\n
[[ 8\u00a0 9 10 11]
\n[12 13 14 15]]<\/p>\n
[[16 17 18 19]
\n[20 21 22 23]]]<\/p>\n
\u25bc\u30bd\u30fc\u30c8(\u591a\u6b21\u5143\u3067\u3082\u53ef\u80fd)
\nsss = np.array([3,10,1,5,8])
\nprint np.sort(sss)
\nprint np.sort(sss)[::-1]<\/p>\n
[\u5b9f\u884c\u7d50\u679c]
\n[1 3 5 8 10]
\n[10 8 5 3 1]<\/p>\n
\u30d9\u30fc\u30b7\u30c3\u30af\u306a\u4e00\u4f8b\u3067\u3059\u3002 \u3053\u306enumpy\u3084pandas\u3082\u3057\u304b\u308a\u3084\u306f\u308a\u6570\u5b66\u7684\u306a\u90e8\u5206\u304c\u591a\u304f\u3001 \u4ee5\u4e0a\u3001numpy\u306b\u3064\u3044\u3066\u3067\u3057\u305f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":" \u4ee5\u524d\u3001Python\u306epandas\u306b\u3064\u3044\u3066\u5c11\u3057\u8a18\u8f09\u3057\u305f\u3068\u601d\u3044\u307e\u3059\u304c\u4eca\u56de\u306fnumpy\u306b\u3064\u3044\u3066\u8a18\u8f09\u3057\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002 numpy\u306fPython\u3067\u5b66\u8853\u8a08\u7b97\u3092\u3059\u308b\u305f\u3081\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002 \u57fa\u672c\u7684\u306a\u8a08\u7b97\u306fPython\u3067\u3082\u53ef\u80fd\u3067\u3059…\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":7,"featured_media":1645,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-1642","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/posts\/1642"}],"collection":[{"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/comments?post=1642"}],"version-history":[{"count":4,"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/posts\/1642\/revisions"}],"predecessor-version":[{"id":1647,"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/posts\/1642\/revisions\/1647"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/media\/1645"}],"wp:attachment":[{"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/media?parent=1642"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/categories?post=1642"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/idealive.jp\/blog\/wp-json\/wp\/v2\/tags?post=1642"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\u4e0b\u8a18\u30da\u30fc\u30b8\u304cnumpy\u914d\u5217\u306e\u64cd\u4f5c\u3092\u8272\u3005\u3068\u7d39\u4ecb\u304f\u308c\u3066\u3044\u305f\u306e\u3067\u53c2\u7167\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002
\nhttps:\/\/www.headboost.jp\/python-numpy-array-calculations\/<\/a><\/p>\n
\n\u4eca\u66f4\u03a3\uff08\u30b7\u30b0\u30de\uff09\u306e\u4f7f\u3044\u65b9\u3092\u52c9\u5f37\u3057\u306a\u304a\u3057\u3066\u307f\u3088\u3046\u304b\u306a\u3068\u601d\u3063\u305f\u4eca\u65e5\u3053\u306e\u9803\u3067\u3057\u305f\u3002<\/p>\n