{"id":3242,"date":"2023-07-18T12:33:46","date_gmt":"2023-07-18T12:33:46","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e6%95%b0%e5%ad%97%e6%bb%a4%e6%b3%a2%e5%99%a8\/"},"modified":"2023-07-18T12:33:46","modified_gmt":"2023-07-18T12:33:46","slug":"%e6%95%b0%e5%ad%97%e6%bb%a4%e6%b3%a2%e5%99%a8","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e6%95%b0%e5%ad%97%e6%bb%a4%e6%b3%a2%e5%99%a8\/","title":{"rendered":"\u5982\u4f55\u8fc7\u6ee4 numpy \u6570\u7ec4\uff084 \u4e2a\u793a\u4f8b\uff09"},"content":{"rendered":"

<\/p>\n

\n

\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\u6765\u8fc7\u6ee4 NumPy \u6570\u7ec4\u7684\u503c\uff1a<\/span><\/p>\n

\u65b9\u6cd5\u4e00\uff1a\u57fa\u4e8e\u5355\u4e00\u6761\u4ef6\u8fc7\u6ee4\u503c<\/strong><\/span><\/p>\n

 #filter for values less than 5<\/span>\nmy_array[my_array < 5<\/span> ]\n<\/strong><\/pre>\n
\u65b9\u6cd52\uff1a\u4f7f\u7528\u201cOR\u201d\u6761\u4ef6\u8fc7\u6ee4\u503c<\/strong><\/span><\/p>\n
 #filter for values less than 5 or<\/em> greater than 9<\/span>\nmy_array[(my_array < 5<\/span> ) | (my_array > 9<\/span> )]\n<\/strong><\/pre>\n
\u65b9\u6cd53\uff1a\u4f7f\u7528\u201cAND\u201d\u6761\u4ef6\u8fc7\u6ee4\u503c<\/strong><\/span><\/p>\n
 #filter for values greater than 5 and<\/i> less than 9<\/span>\nmy_array[(my_array > 5<\/span> ) & (my_array < 9<\/span> )]<\/strong><\/pre>\n
\u65b9\u6cd54\uff1a\u8fc7\u6ee4\u5217\u8868\u4e2d\u5305\u542b\u7684\u503c<\/strong><\/span><\/p>\n
 #filter for values that are equal to 2, 3, 5, or 12<\/span>\nmy_array[np. in1d<\/span> (my_array, [2, 3, 5, 12])]\n<\/strong><\/pre>\n
\u672c\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u4ee5\u4e0b NumPy \u6570\u7ec4\u7684\u6bcf\u79cd\u65b9\u6cd5\uff1a<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#create NumPy array\n<\/span>my_array = np. array<\/span> ([1, 2, 2, 3, 5, 6, 7, 10, 12, 14])\n\n#view NumPy array<\/span>\nmy_array\n\narray([ 1, 2, 2, 3, 5, 6, 7, 10, 12, 14])\n<\/strong><\/span><\/pre>\n
\u793a\u4f8b1\uff1a\u6839\u636e\u6761\u4ef6\u8fc7\u6ee4\u503c<\/strong><\/span><\/h2>\n
\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u6839\u636e\u5355\u4e2a\u6761\u4ef6\u8fc7\u6ee4 NumPy \u6570\u7ec4\u503c\uff1a<\/span><\/p>\n
 #filter for values less than 5\n<\/span>my_array[(my_array < 5<\/span> )]\n\narray([1, 2, 2, 3])\n\n#filter for values greater than 5\n<\/span>my_array[(my_array > 5<\/span> )]\n\narray([6,7,10,12,14])\n\n#filter for values equal to 5\n<\/span>my_array[(my_array == 5<\/span> )]\n\narray([5])\n<\/strong><\/pre>\n
\u793a\u4f8b2\uff1a\u4f7f\u7528\u201cOR\u201d\u6761\u4ef6\u8fc7\u6ee4\u503c<\/strong><\/span><\/h2>\n
\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u201cOR\u201d\u6761\u4ef6\u8fc7\u6ee4 NumPy \u6570\u7ec4\u7684\u503c\uff1a<\/span><\/p>\n
 #filter for values less than 5 or<\/em> greater than 9<\/span>\nmy_array[(my_array < 5<\/span> ) | (my_array > 9<\/span> )]\n\narray([ 1, 2, 2, 3, 10, 12, 14])\n<\/strong><\/pre>\n
\u6b64\u8fc7\u6ee4\u5668\u8fd4\u56de\u5c0f\u4e8e 5\u6216<\/strong>\u5927\u4e8e 9 \u7684 NumPy \u6570\u7ec4\u503c\u3002<\/span><\/p>\n
\u793a\u4f8b3\uff1a\u4f7f\u7528\u201cAND\u201d\u6761\u4ef6\u8fc7\u6ee4\u503c<\/strong><\/span><\/h2>\n
\u4e0b\u9762\u7684\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u201cAND\u201d\u6761\u4ef6\u8fc7\u6ee4NumPy\u6570\u7ec4\u7684\u503c\uff1a<\/span><\/p>\n
 #filter for values greater than 5 and<\/i> less than 9<\/span>\nmy_array[(my_array > 5<\/span> ) & (my_array < 9<\/span> )]\n\narray([6, 7])\n<\/strong><\/pre>\n
\u8be5\u8fc7\u6ee4\u5668\u4ece NumPy \u6570\u7ec4\u4e2d\u8fd4\u56de\u5927\u4e8e 5\u4e14<\/b>\u5c0f\u4e8e 9 \u7684\u503c\u3002<\/span><\/p>\n
\u793a\u4f8b4\uff1a\u8fc7\u6ee4\u5217\u8868\u4e2d\u5305\u542b\u7684\u503c<\/strong><\/span><\/h2>\n
\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u4e86\u5982\u4f55\u8fc7\u6ee4\u5217\u8868\u4e2d\u5305\u542b\u7684 NumPy \u6570\u7ec4\u503c\uff1a<\/span><\/p>\n
 #filter for values that are equal to 2, 3, 5, or 12<\/span>\nmy_array[np. in1d<\/span> (my_array, [2, 3, 5, 12])]\n\narray([ 2, 2, 3, 5, 12])\n<\/strong><\/pre>\n
\u8be5\u8fc7\u6ee4\u5668\u4ec5\u8fd4\u56de\u7b49\u4e8e 2\u30013\u30015 \u6216 12 \u7684\u503c\u3002<\/span><\/p>\n
\u6ce8\u610f<\/strong>\uff1a\u60a8\u53ef\u4ee5\u5728\u6b64\u5904<\/a>\u627e\u5230 NumPy in1d()<\/strong>\u51fd\u6570\u7684\u5b8c\u6574\u6587\u6863\u3002<\/span><\/p>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n
\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728Python\u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u7684\u8fc7\u6ee4\u64cd\u4f5c\uff1a<\/span><\/p>\n
 \u5982\u4f55\u8fc7\u6ee4\u5305\u542b\u7279\u5b9a\u5b57\u7b26\u4e32\u7684 Pandas DataFrame \u884c<\/a>
\u5982\u4f55\u6839\u636e\u591a\u4e2a\u6761\u4ef6\u8fc7\u6ee4 Pandas DataFrame<\/a>
\u5982\u4f55\u5728 Pandas DataFrame \u4e2d\u4f7f\u7528\u201cNOT IN\u201d\u8fc7\u6ee4\u5668<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\u6765\u8fc7\u6ee4 NumPy \u6570\u7ec4\u7684\u503c\uff1a \u65b9\u6cd5\u4e00\uff1a\u57fa\u4e8e\u5355\u4e00\u6761\u4ef6\u8fc7\u6ee4\u503c #filter for valu […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3242","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u8fc7\u6ee4 NumPy \u6570\u7ec4\uff084 \u4e2a\u793a\u4f8b\uff09 - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u8fc7\u6ee4 NumPy \u6570\u7ec4\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/cn\/\u6570\u5b57\u6ee4\u6ce2\u5668\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5982\u4f55\u8fc7\u6ee4 NumPy \u6570\u7ec4\uff084 \u4e2a\u793a\u4f8b\uff09 - 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