{"id":1670,"date":"2020-06-22T06:29:30","date_gmt":"2020-06-21T22:29:30","guid":{"rendered":"http:\/\/39.97.231.10\/?p=1670"},"modified":"2020-06-22T06:29:30","modified_gmt":"2020-06-21T22:29:30","slug":"numpy%e4%bb%8b%e7%bb%8d","status":"publish","type":"post","link":"http:\/\/www.weijing.co\/?p=1670","title":{"rendered":"Numpy\u4ecb\u7ecd"},"content":{"rendered":"<div>\n<h3>1\u3001\u4ec0\u4e48\u662fnumpy\uff1f<\/h3>\n<p>\u4e00\u8a00\u4ee5\u853d\u4e4b\uff0cnumpy\u662fpython\u4e2d\u57fa\u4e8e\u6570\u7ec4\u5bf9\u8c61\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\u3002<br \/>\n\u63d0\u70bc\u5173\u952e\u5b57\uff0c\u53ef\u4ee5\u5f97\u51fanumpy\u4ee5\u4e0b\u4e09\u5927\u7279\u70b9\uff1a<\/p>\n<ul>\n<li>\u62e5\u6709n\u7ef4\u6570\u7ec4\u5bf9\u8c61;<\/li>\n<li>\u62e5\u6709\u5e7f\u64ad\u529f\u80fd\uff08\u540e\u9762\u8bb2\u5230\uff09\uff1b<\/li>\n<li>\u62e5\u6709\u5404\u79cd\u79d1\u5b66\u8ba1\u7b97API\uff0c\u4efb\u4f60\u8c03\u7528\uff1b<\/li>\n<\/ul>\n<div>\n<div>\n<div><\/div>\n<div data-width=\\\"497\\\" data-height=\\\"307\\\"><img src=\\\"\/\/upload-images.jianshu.io\/upload_images\/13723999-479cca317469a545.png?imageMogr2\/auto-orient\/strip|imageView2\/2\/w\/497\/format\/webp\\\" data-original-src=\\\"\/\/upload-images.jianshu.io\/upload_images\/13723999-479cca317469a545.png\\\" data-original-width=\\\"497\\\" data-original-height=\\\"307\\\" data-original-format=\\\"image\/png\\\" data-original-filesize=\\\"149123\\\" data-image-index=\\\"0\\\" \/><\/div>\n<\/div>\n<div><\/div>\n<\/div>\n<h3>2\u3001\u5982\u4f55\u5b89\u88c5numpy\uff1f<\/h3>\n<p>\u56e0\u4e3anumpy\u662f\u4e00\u4e2apython\u5e93\uff0c\u6240\u4ee5\u4f7f\u7528python\u5305\u7ba1\u7406\u5de5\u5177pip\u6216\u8005conda\u90fd\u53ef\u4ee5\u5b89\u88c5\u3002<br \/>\n\u5b89\u88c5python\u540e\uff0c\u6253\u5f00cmd\u547d\u4ee4\u884c\uff0c\u8f93\u5165\uff1a<\/p>\n<div>\n<pre>pip install numpy\n<\/pre>\n<\/div>\n<p>\u5373\u53ef\u5b8c\u6210\u5b89\u88c5\u3002<\/p>\n<h3>3\u3001\u4ec0\u4e48\u662fn\u7ef4\u6570\u7ec4\u5bf9\u8c61\uff1f<\/h3>\n<p>n\u7ef4\u6570\u7ec4\uff08ndarray\uff09\u5bf9\u8c61\uff0c\u662f\u4e00\u7cfb\u5217\u540c\u7c7b\u6570\u636e\u7684\u96c6\u5408\uff0c\u53ef\u4ee5\u8fdb\u884c\u7d22\u5f15\u3001\u5207\u7247\u3001\u8fed\u4ee3\u64cd\u4f5c\u3002<br \/>\nnumpy\u4e2d\u53ef\u4ee5\u4f7f\u7528array\u51fd\u6570\u521b\u5efa\u6570\u7ec4:<\/p>\n<div>\n<pre>import numpy as np\nnp.array([1,2,3])\n# \u8f93\u51fa\uff1aarray([1, 2, 3])\n<\/pre>\n<\/div>\n<h3>4\u3001\u5982\u4f55\u533a\u5206\u4e00\u7ef4\u3001\u4e8c\u7ef4\u3001\u591a\u7ef4\uff1f<\/h3>\n<p>\u5224\u65ad\u4e00\u4e2a\u6570\u7ec4\u662f\u51e0\u7ef4\uff0c\u4e3b\u8981\u662f\u770b\u5b83\u6709\u51e0\u4e2a\u8f74\uff08axis\uff09\u3002<br \/>\n\u4e00\u4e2a\u8f74\u8868\u793a\u4e00\u7ef4\u6570\u7ec4\uff0c\u4e24\u4e2a\u8f74\u8868\u793a\u4e8c\u7ef4\u6570\u7ec4\uff0c\u4ee5\u6b64\u7c7b\u63a8\u3002<br \/>\n\u6bcf\u4e2a\u8f74\u90fd\u4ee3\u8868\u4e00\u4e2a\u4e00\u7ef4\u6570\u7ec4\u3002<br \/>\n\u6bd4\u5982\u8bf4\uff0c\u4e8c\u7ef4\u6570\u7ec4\u7b2c\u4e00\u4e2a\u8f74\u91cc\u7684\u6bcf\u4e2a\u5143\u7d20\u90fd\u662f\u4e00\u4e2a\u4e00\u7ef4\u6570\u7ec4\uff0c\u4e5f\u5c31\u662f\u7b2c\u4e8c\u4e2a\u8f74\u3002<br \/>\n\u4e00\u7ef4\u6570\u7ec4\u4e00\u4e2a\u8f74\uff1a<\/p>\n<div>\n<pre>[1,2,3]\n<\/pre>\n<\/div>\n<p>\u4e8c\u7ef4\u6570\u7ec4\u4e24\u4e2a\u8f74\uff1a<\/p>\n<div>\n<pre>[[0, 1, 2],\n [3, 4, 5]]\n<\/pre>\n<\/div>\n<p>\u4e09\u7ef4\u6570\u7ec4\u4e09\u4e2a\u8f74\uff1a<\/p>\n<div>\n<pre>[[[ 0,  1,  2],\n  [ 3,  4,  5]],\n [[ 6,  7,  8],\n  [ 9, 10, 11]]]\n<\/pre>\n<\/div>\n<p>\u4ee5\u6b64\u7c7b\u63a8n\u7ef4\u6570\u7ec4\u3002<\/p>\n<h3>5\u3001\u5982\u4f55\u521b\u5efan\u7ef4\u6570\u7ec4\uff1f<\/h3>\n<p>numpy\u4e2d\u5e38\u7528array\u51fd\u6570\u521b\u5efa\u6570\u7ec4\uff0c\u4f20\u5165\u5217\u8868\u6216\u5143\u7ec4\u5373\u53ef\u3002<br \/>\n\u521b\u5efa\u4e00\u7ef4\u6570\u7ec4\uff0c\u5e76\u6307\u5b9a\u6570\u7ec4\u7c7b\u578b\u4e3aint\uff1a<\/p>\n<div>\n<pre>import numpy as np\nnp.array([1,2,3],dtype=int)\n# \u8f93\u51fa\uff1aarray([1, 2, 3])\n<\/pre>\n<\/div>\n<p>\u521b\u5efa\u4e8c\u7ef4\u6570\u7ec4\uff1a<\/p>\n<div>\n<pre>import numpy as np\nnp.array(((1,2),(3,4)))\n \\'\\'\\'\n\u8f93\u51fa\uff1a\narray([[1, 2],\n       [3, 4]])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<p>\u8fd8\u53ef\u4ee5\u4f7f\u7528arange\u51fd\u6570\u521b\u5efa\u4e00\u7ef4\u6570\u5b57\u6570\u7ec4\uff0c\u7528\u6cd5\u7c7b\u4f3cpython\u7684range\u51fd\u6570.<\/p>\n<div>\n<pre>import numpy as np\nnp.arange(1,6)\n\\'\\'\\'\n\u8f93\u51fa\uff1aarray([1, 2, 3, 4, 5])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<h3>6\u3001\u5982\u4f55\u521b\u5efa\u968f\u673a\u6570\u7ec4\uff1f<\/h3>\n<p>numpy\u7684random\u6a21\u5757\u7528\u6765\u521b\u5efa\u968f\u673a\u6570\u7ec4\u3002<\/p>\n<ul>\n<li>random.rand\u51fd\u6570\uff0c\u751f\u6210[0,1)\u5747\u5300\u5206\u5e03\u7684\u968f\u673a\u6570\u7ec4<\/li>\n<\/ul>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa2\u884c2\u5217\u53d6\u503c\u8303\u56f4\u4e3a[0,1)\u7684\u6570\u7ec4\nnp.random.rand(2,2)\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([[0.99449146, 0.92339551],\n       [0.1837405 , 0.41719798]])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<ul>\n<li>random.randn\u51fd\u6570\uff0c\u751f\u6210\u6570\u503c\u6210\u6807\u51c6\u6b63\u6001\u5206\u5e03\uff08\u5e73\u5747\u503c\u4e3a0\uff0c\u6807\u51c6\u5dee\u4e3a1\uff09\u7684\u6570\u7ec4<\/li>\n<\/ul>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa2\u884c3\u5217\uff0c\u53d6\u503c\u8303\u56f4\u4e3a\u6807\u51c6\u6b63\u6001\u5206\u5e03\u7684\u6570\u7ec4\nnp.random.randn(3,2)\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([[-1.27481003, -1.5888111 ],\n       [ 0.16985203, -2.91526479],\n       [ 1.75992671, -2.81304831]])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<ul>\n<li>random.randint\u51fd\u6570\uff0c\u751f\u6210\u53ef\u4ee5\u6307\u5b9a\u8303\u56f4\u7684\u968f\u673a\u6574\u6570\u6570\u7ec4<\/li>\n<\/ul>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa2\u884c2\u5217,\u53d6\u503c\u8303\u56f4\u4e3a[2,10)\u7684\u968f\u673a\u6574\u6570\u6570\u7ec4\nnp.random.randint(2,10,size=(2,2))\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([[5, 4],\n       [3, 7]])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<ul>\n<li>random.normal\u51fd\u6570\uff0c\u751f\u6210\u6570\u503c\u6210\u6b63\u6001\u5206\u5e03\uff08\u53ef\u6307\u5b9a\u5e73\u5747\u503c\u3001\u6807\u51c6\u5dee\uff09\u7684\u6570\u7ec4<\/li>\n<\/ul>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e00\u7ef4\uff0c\u6570\u503c\u6210\u6b63\u6001\u5206\u5e03\uff08\u5747\u503c\u4e3a1\uff0c\u6807\u51c6\u5dee\u4e3a2\uff09\u7684\u6570\u7ec4\n# \u53c2\u6570loc\u4ee3\u8868\u5747\u503c\uff0cscale\u4ee3\u8868\u6807\u51c6\u5dee\nnp.random.normal(loc=1,scale=2,size=5)\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([ 0.82962241,  0.41738042,  0.0470862 ,  1.79446076, -1.47514478])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<p>random\u6a21\u5757\u8fd8\u6709\u5176\u4ed6\u51fd\u6570\uff0c\u5982\u4e0b\u3002<\/p>\n<div>\n<div>\n<div><\/div>\n<div data-width=\\\"905\\\" data-height=\\\"407\\\"><img src=\\\"\/\/upload-images.jianshu.io\/upload_images\/13723999-bd1bccabd4d3528e.png?imageMogr2\/auto-orient\/strip|imageView2\/2\/w\/905\/format\/webp\\\" data-original-src=\\\"\/\/upload-images.jianshu.io\/upload_images\/13723999-bd1bccabd4d3528e.png\\\" data-original-width=\\\"905\\\" data-original-height=\\\"407\\\" data-original-format=\\\"image\/png\\\" data-original-filesize=\\\"137775\\\" data-image-index=\\\"1\\\" \/><\/div>\n<\/div>\n<div><\/div>\n<\/div>\n<h3>7\u3001\u5982\u4f55\u67e5\u770b\u6570\u7ec4\u7684\u7ef4\u5ea6\uff1f<\/h3>\n<p>\u524d\u9762\u8bf4\u5230\uff0c\u6570\u7ec4\u7ef4\u5ea6\u5373\u4ee3\u8868\u8f74\u7684\u6570\u91cf\u3002<br \/>\n\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u6570\u7ec4\uff08adarray\uff09\u5bf9\u8c61\u7684ndim\u6216shape\u5c5e\u6027\uff0c\u6765\u67e5\u770b\u8f74\u7684\u6570\u91cf\u3002<\/p>\n<ul>\n<li>ndim\u5c5e\u6027\u76f4\u63a5\u8fd4\u56de\u7ef4\u5ea6\u503c\uff1b<\/li>\n<li>shape\u5c5e\u6027\u8fd4\u56de\u4e00\u4e2a\u5143\u7ec4\uff0c\u5143\u7ec4\u7684\u957f\u5ea6\u5373\u4ee3\u8868\u7ef4\u5ea6\u503c\uff0c\u91cc\u9762\u7684\u6570\u5b57\u4ece\u5de6\u5f80\u53f3\u5206\u522b\u4ee3\u8868\u6bcf\u4e00\u8f74\u7684\u5143\u7d20\u6570\u91cf\u3002<\/li>\n<\/ul>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e00\u7ef4\u6570\u7ec4\nx1 = np.array([1,2,3])\n# \u8fd4\u56de\u7ef4\u5ea6\u503c\nx1.ndim\n\\'\\'\\'\n\u8f93\u51fa\uff1a1\n\\'\\'\\'\n# \u521b\u5efa\u4e8c\u7ef4\u6570\u7ec4\nx2 = np.array([[1,2,3],[4,5,6]])\n# \u8fd4\u56de\u5f62\u72b6\nx2.shape\n\\'\\'\\'\n\u8f93\u51fa\uff1a(2, 3)\n\u5143\u7d20\u957f\u5ea6\u4e3a2\u4ee3\u8868\u4e8c\u7ef4\uff0c\n\u5143\u7d202\u4ee3\u88680\u8f74\u6709\u4e24\u4e2a\u5143\u7d20\uff0c\n\u5143\u7d203\u4ee3\u88681\u8f74\u67093\u4e2a\u5143\u7d20\u3002\n\\'\\'\\'\n<\/pre>\n<\/div>\n<h3>8\u3001\u5982\u4f55\u67e5\u770b\u6570\u7ec4\u6709\u591a\u5c11\u4e2a\u5143\u7d20\uff1f<\/h3>\n<p>\u6570\u7ec4\uff08ndarray\uff09\u5bf9\u8c61\u7684size\u5c5e\u6027\u53ef\u4ee5\u67e5\u770b\u6570\u7ec4\u5305\u542b\u5143\u7d20\u603b\u6570\u3002<\/p>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e8c\u7ef4\u6570\u7ec4\nx2 = np.array([[1,2,3],[4,5,6]])\n# \u67e5\u770b\u5143\u7d20\u603b\u6570\nx2.size\n\\'\\'\\'\n\u8f93\u51fa\uff1a6\n\\'\\'\\'\n<\/pre>\n<\/div>\n<p>\u8fd8\u53ef\u4ee5\u901a\u8fc7shape\u5c5e\u6027\u8fd4\u56de\u5143\u7d20\u7684\u4e58\u79ef\uff0c\u6765\u8ba1\u7b97\u6570\u7ec4\u5143\u7d20\u6570\u91cf\u3002<\/p>\n<div>\n<pre>import numpy as np\nfrom functools import reduce\n# \u521b\u5efa\u4e8c\u7ef4\u6570\u7ec4\nx2 = np.array([[1,2,3],[4,5,6]])\n# \u67e5\u770b\u5143\u7d20\u603b\u6570\nreduce(lambda x,y:x*y , x2.shape)\n\\'\\'\\'\n\u8f93\u51fa\uff1a6\nshape\u5f62\u72b6\uff1a\n(2,3)\n\\'\\'\\'\n<\/pre>\n<\/div>\n<h3>9\u3001Numpy\u6570\u7ec4\u652f\u6301\u54ea\u4e9b\u6570\u636e\u7c7b\u578b\uff1f<\/h3>\n<p>Numpy\u652f\u6301\u7684\u6570\u636e\u7c7b\u578b\u975e\u5e38\u591a\uff0c\u6240\u4ee5\u5f88\u9002\u5408\u505a\u6570\u503c\u8ba1\u7b97\u3002<br \/>\n\u4e0b\u9762\u7ed9\u51fa\u5e38\u89c1\u7684\u6570\u636e\u7c7b\u578b\uff1a<\/p>\n<div>\n<div>\n<div><\/div>\n<div data-width=\\\"946\\\" data-height=\\\"868\\\"><img src=\\\"\/\/upload-images.jianshu.io\/upload_images\/13723999-bbc216472aa4631c.png?imageMogr2\/auto-orient\/strip|imageView2\/2\/w\/946\/format\/webp\\\" data-original-src=\\\"\/\/upload-images.jianshu.io\/upload_images\/13723999-bbc216472aa4631c.png\\\" data-original-width=\\\"946\\\" data-original-height=\\\"868\\\" data-original-format=\\\"image\/png\\\" data-original-filesize=\\\"75874\\\" data-image-index=\\\"2\\\" \/><\/div>\n<\/div>\n<div><\/div>\n<\/div>\n<h3>10\u3001\u5982\u4f55\u67e5\u770b\u6570\u7ec4\u7684\u7c7b\u578b\uff1f<\/h3>\n<p>\u6570\u7ec4\uff08adarrry\uff09\u5bf9\u8c61\u63d0\u4f9bdtype\u5c5e\u6027\uff0c\u7528\u6765\u67e5\u770b\u6570\u7ec4\u7c7b\u578b\u3002<\/p>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e8c\u7ef4\u6570\u7ec4\nx2 = np.array([[1,2,3],[4,5,6]],dtype=int)\n# \u8fd4\u56de\u7c7b\u578b\nx2.dtype\n\\'\\'\\'\n\u8f93\u51fa\uff1adtype(\\'int32\\')\n\\'\\'\\'\n<\/pre>\n<\/div>\n<h3>11\u3001\u5982\u4f55\u6539\u53d8\u6570\u7ec4\u7684\u5f62\u72b6\uff1f<\/h3>\n<p>\u524d\u9762\u8bf4\u8fc7\uff0c\u6570\u7ec4\u7684shape\u5c5e\u6027\u8fd4\u56de\u4e00\u4e2a\u5143\u7ec4\uff0c\u80fd\u591f\u53cd\u6620\u6570\u7ec4\u7684\u5f62\u72b6\uff0c\u5305\u62ec\u7ef4\u5ea6\u4ee5\u53ca\u6bcf\u4e2a\u8f74\u7684\u5143\u7d20\u6570\u91cf\u3002<br \/>\n\u90a3\u4e48\u5982\u679c\u7ed9\u5b9a\u4e00\u4e2a\u6570\u7ec4\uff0c\u600e\u4e48\u6539\u53d8\u5176\u5f62\u72b6\u5462\uff1f<br \/>\n\u5e38\u7528\u7684\u65b9\u5f0f\u6709\u4e24\u79cd\uff1a<\/p>\n<ul>\n<li>reshape\u65b9\u6cd5\uff0c\u5b83\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u6570\u7ec4\uff0c\u800c\u4e0d\u80fd\u6539\u53d8\u539f\u59cb\u6570\u7ec4\u3002<\/li>\n<li>resize\u65b9\u6cd5\uff0c\u65e0\u8fd4\u56de\u503c\uff0c\u5b83\u66f4\u6539\u4e86\u539f\u59cb\u6570\u7ec4\u3002<\/li>\n<\/ul>\n<p>\u6bd4\u5982\u8bf4\u6211\u8981\u5c06\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\u8f6c\u6362\u4e3a\u4e09\u7ef4\u6570\u7ec4\u3002<\/p>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e8c\u7ef4\u6570\u7ec4\nx2 = np.array([[1,2,3],[4,5,6]])\n# \u5c06x2\u8f6c\u6362\u4e3a\u4e09\u7ef4\u6570\u7ec4\uff0c\u5e76\u4e14\u81ea\u5b9a\u4e49\u6bcf\u4e2a\u8f74\u7684\u5143\u7d20\u6570\u91cf\nx2.reshape(1,2,3)\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([[[1, 2, 3],\n        [4, 5, 6]]])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<p>reshape\u65b9\u6cd5\u53ef\u4ee5\u4f20\u5165\u6574\u6570\u6216\u8005\u5143\u7ec4\u5f62\u5f0f\u7684\u53c2\u6570\u3002<br \/>\n\u4f20\u5165\u7684\u53c2\u6570\u548cshape\u5c5e\u6027\u8fd4\u56de\u7684\u5143\u7ec4\u7684\u542b\u4e49\u662f\u4e00\u6837\u7684\u3002<br \/>\n\u4f8b\u5982\uff0c x2.reshape(1,2,3)\u662f\u5c06\u4e8c\u7ef4\u6570\u7ec4\u8f6c\u6362\u6210\u4e09\u7ef4\u6570\u7ec4\uff0c\u53c2\u6570\u4e2a\u6570\u4ee3\u8868\u8981\u8f6c\u6362\u7684\u7ef4\u5ea6\uff0c\u53c2\u6570\u6570\u5b57\u4ece\u5de6\u5230\u53f3\u5206\u522b\u8868\u793a0\u8f74\u30011\u8f74\u30012\u8f74\u7684\u5143\u7d20\u6570\u91cf\u3002<br \/>\nresize\u65b9\u6cd5\u548creshape\u65b9\u6cd5\u4f7f\u7528\u5f62\u5f0f\u4e00\u6837\uff0c\u533a\u522b\u662fresize\u65b9\u6cd5\u6539\u53d8\u4e86\u539f\u59cb\u6570\u7ec4\u5f62\u72b6\u3002<\/p>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e8c\u7ef4\u6570\u7ec4\nx2 = np.array([[1,2,3],[4,5,6]])\n# \u5c06x2\u8f6c\u6362\u4e3a\u4e09\u7ef4\u6570\u7ec4\uff0c\u5e76\u4e14\u81ea\u5b9a\u4e49\u6bcf\u4e2a\u8f74\u7684\u5143\u7d20\u6570\u91cf\nx2.resize((1,2,3))\nx2\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([[[1, 2, 3],\n        [4, 5, 6]]])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<h3>12\u3001\u5982\u4f55\u5bf9\u6570\u7ec4\u8fdb\u884c\u7d22\u5f15\u548c\u5207\u7247\u64cd\u4f5c\uff1f<\/h3>\n<p>numpy\u4e00\u7ef4\u6570\u7ec4\u7684\u7d22\u5f15\u548c\u5207\u7247\u64cd\u4f5c\u7c7b\u4f3cpython\u5217\u8868\uff0c\u8fd9\u91cc\u4e0d\u591a\u8bb2\u3002<br \/>\n\u6bd4\u5982\u8bf4\u53d6\u4e00\u7ef4\u6570\u7ec4\u524d\u4e09\u4e2a\u5143\u7d20\u3002<\/p>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e00\u7ef4\u6570\u7ec4\nx1 = np.array([1,2,3,4])\n# \u5207\u7247\uff0c\u53d6\u524d\u4e09\u4e2a\u5143\u7d20\nx1[:3]\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([1, 2, 3])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<p>\u91cd\u70b9\u662f\u5bf9\u591a\u7ef4\u6570\u7ec4\u7684\u7d22\u5f15\u548c\u5207\u7247\u3002<br \/>\n\u591a\u7ef4\u6570\u7ec4\u6709\u591a\u4e2a\u8f74\uff0c\u90a3\u4e48\u5c31\u9700\u8981\u5bf9\u6bcf\u4e2a\u8f74\u8fdb\u884c\u7d22\u5f15\u3002<br \/>\n\u4f8b\u5982\uff0c\u4e09\u7ef4\u6570\u7ec4\u5f62\u72b6\u4e3a(x,y,z)\uff0c\u5206\u522b\u4ee3\u8868\uff1a0\u8f74\u6709x\u4e2a\u5143\u7d20\u30011\u8f74\u6709y\u4e2a\u5143\u7d20\uff0c2\u8f74\u6709z\u4e2a\u5143\u7d20\u3002<br \/>\n\u5bf90\u30011\u30012\u8f74\u8fdb\u884c\u7d22\u5f15\uff0c\u5982\u679c\u53d6o\u8f74\u7b2c2\u4e2a\u5143\u7d20\u30011\u8f74\u7b2c0\u4e2a\u5143\u7d20\u30012\u8f74\u7b2c3\u4e2a\u5143\u7d20\uff0c\u90a3\u4e48\u7d22\u5f15\u5f62\u5f0f\u5c31\u4e3a[2,0,3]\u3002<\/p>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e09\u7ef4\u6570\u7ec4\nx3 = np.arange(24).reshape(3,2,4)\n# \u5bf9\u8be5\u4e09\u7ef4\u6570\u7ec4\u8fdb\u884c\u7d22\u5f15\nx3[2,0,3]\n\\'\\'\\'\n\u8f93\u51fa\uff1a19\n\u4e09\u7ef4\u6570\u7ec4\u5f62\u5f0f\uff1a\narray([[[ 0,  1,  2,  3],\n        [ 4,  5,  6,  7]],\n       [[ 8,  9, 10, 11],\n        [12, 13, 14, 15]],\n       [[16, 17, 18, 19],\n        [20, 21, 22, 23]]])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<p>\u5207\u7247\u4e5f\u662f\u540c\u6837\u9053\u7406\u3002<br \/>\n\u5982\u679c\u53d6o\u8f74\u524d2\u4e2a\u5143\u7d20\u30011\u8f74\u524d1\u4e2a\u5143\u7d20\u30012\u8f74\u540e2\u4e2a\u5143\u7d20\uff0c\u90a3\u4e48\u5207\u7247\u5f62\u5f0f\u5c31\u4e3a[:2,:1,-2:]\u3002<\/p>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e09\u7ef4\u6570\u7ec4\nx3 = np.arange(24).reshape(3,2,4)\n# \u5bf9\u8be5\u4e09\u7ef4\u6570\u7ec4\u8fdb\u884c\u5207\u7247\nx3[:2,:1,-2:]\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([[[ 2,  3]],\n       [[10, 11]]])\n\u4e09\u7ef4\u6570\u7ec4\u5f62\u5f0f\uff1a\narray([[[ 0,  1,  2,  3],\n        [ 4,  5,  6,  7]],\n       [[ 8,  9, 10, 11],\n        [12, 13, 14, 15]],\n       [[16, 17, 18, 19],\n        [20, 21, 22, 23]]])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<h3>13\u3001\u5982\u4f55\u5bf9\u6570\u7ec4\u91cc\u6bcf\u4e2a\u5143\u7d20\u8fdb\u884c\u8fed\u4ee3\uff1f<\/h3>\n<p>\u8bf4\u5230\u8fed\u4ee3\uff0c\u5927\u5bb6\u5f88\u5bb9\u6613\u60f3\u5230\u76f4\u63a5\u5bf9\u6570\u7ec4\u76f4\u63a5\u4f7f\u7528for\u5faa\u73af\u64cd\u4f5c\uff0c\u5bf9\u4e8e\u4e00\u7ef4\u6570\u7ec4\u6765\u8bf4\uff0c\u5f53\u7136\u662f\u53ef\u4ee5\u7684\u3002<\/p>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e00\u7ef4\u6570\u7ec4\nx1 = np.array([1,2,3,4])\n# \u8fed\u4ee3\nfor i in x1:\n    print(i)\n\\'\\'\\'\n\u8f93\u51fa\uff1a\n1\n2\n3\n4\n\\'\\'\\'\n<\/pre>\n<\/div>\n<p>\u4f46\u5bf9\u4e8e\u591a\u7ef4\u6570\u7ec4\uff0c\u8fed\u4ee3\u662f\u76f8\u5bf9\u4e8e0\u8f74\u5b8c\u6210\u7684\uff0c\u5c31\u662f\u591a\u7ef4\u6570\u7ec4\u6700\u5916\u5c42\u7684\u90a3\u4e00\u7ef4\u3002<br \/>\n\u4f60\u6ca1\u6709\u529e\u6cd5\u76f4\u63a5\u904d\u5386\u6570\u7ec4\u91cc\u6bcf\u4e00\u4e2a\u5143\u7d20\uff0c\u5d4c\u5957\u5faa\u73af\u53c8\u592a\u4f4e\u6548\u3002<br \/>\n\u8fd9\u4e2a\u65f6\u5019\u5c31\u9700\u8981\u7528\u5230flat\u65b9\u6cd5\uff0c\u5b83\u53ef\u4ee5\u5c06\u591a\u7ef4\u6570\u7ec4\u5e73\u94fa\u4e3a\u4e00\u7ef4\u7684\u8fed\u4ee3\u5668\u3002<\/p>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e8c\u7ef4\u6570\u7ec4\nx2 = np.array([[1,2,3],[4,5,6]])\n# \u5148\u5e73\u94fa\uff0c\u518d\u8fed\u4ee3\nfor i in x2.flat:\n    print(i)\n\\'\\'\\'\n\u8f93\u51fa\uff1a\n1\n2\n3\n4\n5\n6\n\\'\\'\\'\n<\/pre>\n<\/div>\n<h3>14\u3001\u5982\u4f55\u5c06\u591a\u7ef4\u6570\u7ec4\u5c55\u5f00\u4e3a\u4e00\u7ef4\u6570\u7ec4\uff1f<\/h3>\n<p>\u6570\u7ec4\uff08ndarray\uff09\u5bf9\u8c61\u63d0\u4f9b\u4e86ravel\u65b9\u6cd5\uff0c\u7528\u6765\u5c06\u591a\u7ef4\u6570\u7ec4\u5c55\u5f00\u4e3a\u4e00\u7ef4\u6570\u7ec4\u3002<\/p>\n<div>\n<pre>import numpy as np\n# \u521b\u5efaer\u7ef4\u6570\u7ec4\nx3 = np.arange(12).reshape(3,4)\n# \u5bf9\u8be5\u4e09\u7ef4\u6570\u7ec4\u8fdb\u884c\u7d22\u5f15\nx3.ravel()\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<h3>15\u3001\u4ec0\u4e48\u5e7f\u64ad\u673a\u5236\uff1f<\/h3>\n<p>\u5e7f\u64ad(Broadcast)\u662f numpy \u5bf9\u4e0d\u540c\u5f62\u72b6(shape)\u7684\u6570\u7ec4\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u7684\u65b9\u5f0f\uff0c \u5bf9\u591a\u4e2a\u6570\u7ec4\u7684\u7b97\u672f\u8fd0\u7b97\u901a\u5e38\u5728\u76f8\u5e94\u7684\u5143\u7d20\u4e0a\u8fdb\u884c\u3002<br \/>\n\u8f83\u5c0f\u7684\u6570\u7ec4\u5728\u8f83\u5927\u7684\u6570\u7ec4\u4e0a\u201c\u5e7f\u64ad\u201d\uff0c\u4ee5\u4fbf\u5b83\u4eec\u5177\u6709\u517c\u5bb9\u7684\u5f62\u72b6\u3002<br \/>\n\u6bd4\u5982\u8bf4\u4e00\u4e2a\u4e00\u7ef4\u6570\u7ec4\u4e58\u4ee5\u4e00\u4e2a\u6570\u5b57\uff0c\u76f8\u5f53\u4e8e\u4e00\u7ef4\u6570\u7ec4\u91cc\u6bcf\u4e2a\u5143\u7d20\u90fd\u4e58\u4ee5\u8fd9\u4e2a\u6570\u3002<\/p>\n<div>\n<div>\n<div><\/div>\n<div data-width=\\\"640\\\" data-height=\\\"72\\\"><img src=\\\"\/\/upload-images.jianshu.io\/upload_images\/13723999-201e9ab285b7bc78.png?imageMogr2\/auto-orient\/strip|imageView2\/2\/w\/640\/format\/webp\\\" data-original-src=\\\"\/\/upload-images.jianshu.io\/upload_images\/13723999-201e9ab285b7bc78.png\\\" data-original-width=\\\"640\\\" data-original-height=\\\"72\\\" data-original-format=\\\"image\/png\\\" data-original-filesize=\\\"24654\\\" data-image-index=\\\"3\\\" \/><\/div>\n<\/div>\n<\/div>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e00\u7ef4\u6570\u7ec4\nx1 = np.array([1,2,3])\n# \u5e7f\u64ad\nx1 * 2\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([2, 4, 6])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<p>\u5982\u679c\u76f8\u540c\u7ef4\u5ea6\u7684\u6570\u7ec4\u8fdb\u884c\u8fd0\u7b97\uff0c\u5176shape\u76f8\u540c\uff0c\u90a3\u4e48\u5e7f\u64ad\u5c31\u662f\u4e24\u4e2a\u6570\u7ec4\u76f8\u540c\u4f4d\u6570\u7684\u5143\u7d20\u8fdb\u884c\u8fd0\u7b97\u3002<\/p>\n<div>\n<div>\n<div><\/div>\n<div data-width=\\\"640\\\" data-height=\\\"77\\\"><img src=\\\"\/\/upload-images.jianshu.io\/upload_images\/13723999-8d709896c7a03140.png?imageMogr2\/auto-orient\/strip|imageView2\/2\/w\/640\/format\/webp\\\" data-original-src=\\\"\/\/upload-images.jianshu.io\/upload_images\/13723999-8d709896c7a03140.png\\\" data-original-width=\\\"640\\\" data-original-height=\\\"77\\\" data-original-format=\\\"image\/png\\\" data-original-filesize=\\\"44624\\\" data-image-index=\\\"4\\\" \/><\/div>\n<\/div>\n<\/div>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e00\u7ef4\u6570\u7ec4\nx1 = np.array([1,2,3])\nx2 = np.array([4,5,6])\n# \u5e7f\u64ad\nx1 + x2\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([5, 7, 9])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<p>\u5982\u679c\u4e24\u4e2a\u6570\u7ec4\u7ef4\u5ea6\u4e0d\u540c\uff0c\u8fdb\u884c\u8fd0\u7b97\uff0c\u8fd9\u91cc\u5c31\u89e6\u53d1\u4e86\u5e7f\u64ad\u7684\u4e24\u4e2a\u89c4\u5219\u3002<\/p>\n<ul>\n<li>\u8ba9\u6240\u6709\u8f93\u5165\u6570\u7ec4\u90fd\u5411\u5176\u4e2d\u5f62\u72b6\u6700\u957f\u7684\u6570\u7ec4\u770b\u9f50\uff0c\u5f62\u72b6\u4e2d\u4e0d\u8db3\u7684\u90e8\u5206\u90fd\u901a\u8fc7\u5728\u524d\u9762\u52a0 1 \u8865\u9f50\uff1b<\/li>\n<li>\u5f53\u8f93\u5165\u6570\u7ec4\u7684\u67d0\u4e2a\u7ef4\u5ea6\u7684\u957f\u5ea6\u4e3a 1 \u65f6\uff0c\u6cbf\u7740\u6b64\u7ef4\u5ea6\u8fd0\u7b97\u65f6\u90fd\u7528\u6b64\u7ef4\u5ea6\u4e0a\u7684\u7b2c\u4e00\u7ec4\u503c\u3002<\/li>\n<\/ul>\n<p>\u8fd9\u4e24\u4e2a\u89c4\u5219\u4fdd\u8bc1\u4e86\u4e0d\u540c\u7ef4\u5ea6\u6570\u7ec4\u8fdb\u884c\u8fd0\u7b97\u65f6\uff0c\u5176\u7ef4\u5ea6\u81ea\u52a8\u8c03\u6574\u6210\u4e00\u81f4\u3002<\/p>\n<div>\n<div>\n<div><\/div>\n<div data-width=\\\"449\\\" data-height=\\\"193\\\"><img src=\\\"\/\/upload-images.jianshu.io\/upload_images\/13723999-a61afb95a5d289e1.png?imageMogr2\/auto-orient\/strip|imageView2\/2\/w\/449\/format\/webp\\\" data-original-src=\\\"\/\/upload-images.jianshu.io\/upload_images\/13723999-a61afb95a5d289e1.png\\\" data-original-width=\\\"449\\\" data-original-height=\\\"193\\\" data-original-format=\\\"image\/png\\\" data-original-filesize=\\\"12377\\\" data-image-index=\\\"5\\\" \/><\/div>\n<div data-width=\\\"449\\\" data-height=\\\"193\\\"><\/div>\n<\/div>\n<\/div>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e00\u7ef4\u6570\u7ec4\nx1 = np.array([[1,2,3],[4,5,6]])\nx2 = np.array([2,3,4])\n# \u5e7f\u64ad\nx1 - x2\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([[-1, -1, -1],\n       [ 2,  2,  2]])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<h3>16\u3001numpy\u4e2d\u5982\u4f55\u8fdb\u884c\u6570\u503c\u820d\u5165\u64cd\u4f5c\uff1f<\/h3>\n<ul>\n<li>around\u51fd\u6570\uff0c\u7528\u4e8e\u56db\u820d\u4e94\u5165\uff0c\u8fd4\u56de\u4e00\u4e2a\u65b0\u6570\u7ec4<\/li>\n<\/ul>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e00\u7ef4\u6570\u7ec4\nx1 = np.array([1.45,2.78,3.12])\n# \u56db\u820d\u4e94\u5165\uff0c\u5230\u5c0f\u6570\u70b9\u540e1\u4f4d\nnp.around(x1,1)\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([1.4, 2.8, 3.1])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<ul>\n<li>floor\u51fd\u6570\uff0c\u7528\u4e8e\u5411\u4e0b\u53d6\u6574\uff0c\u8fd4\u56de\u4e00\u4e2a\u65b0\u6570\u7ec4<\/li>\n<\/ul>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e00\u7ef4\u6570\u7ec4\nx1 = np.array([1.45,2.78,3.12])\n# \u5411\u4e0b\u53d6\u6574\nnp.floor(x1)\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([1., 2., 3.])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<ul>\n<li>ceil\u51fd\u6570\uff0c\u7528\u4e8e\u5411\u4e0a\u53d6\u6574\uff0c\u8fd4\u56de\u4e00\u4e2a\u65b0\u6570\u7ec4<\/li>\n<\/ul>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e00\u7ef4\u6570\u7ec4\nx1 = np.array([1.45,2.78,3.12])\n# \u5411\u4e0b\u53d6\u6574\nnp.ceil(x1)\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([2., 3., 4.])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<h3>17\u3001\u5982\u4f55\u5bf9\u6570\u7ec4\u8fdb\u884c\u8f6c\u7f6e\u64cd\u4f5c\uff1f<\/h3>\n<p>numpy\u63d0\u4f9b\u4e86transpose\u51fd\u6570\u7528\u4ee5\u5bf9\u6570\u7ec4\u8fdb\u884c\u7ef4\u5ea6\u7684\u8c03\u6362\uff0c\u4e5f\u5c31\u662f\u8f6c\u7f6e\u64cd\u4f5c\u3002<br \/>\n\u8f6c\u7f6e\u540e\u8fd4\u56de\u4e00\u4e2a\u65b0\u6570\u7ec4\u3002<\/p>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e8c\u7ef4\u6570\u7ec4\nx1 = np.arange(12).reshape(3,4)\n# \u8f6c\u7f6e\nnp.transpose(x1)\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([[ 0,  4,  8],\n       [ 1,  5,  9],\n       [ 2,  6, 10],\n       [ 3,  7, 11]])\n\u539f\u6570\u7ec4\uff1a\narray([[ 0,  1,  2,  3],\n       [ 4,  5,  6,  7],\n       [ 8,  9, 10, 11]])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<p>\u5f53\u7136\uff0c\u53ef\u4ee5\u7528\u66f4\u7b80\u5355\u7684\u65b9\u6cd5\u3002<br \/>\n\u6570\u7ec4\u5bf9\u8c61\u63d0\u4f9b\u4e86T\u65b9\u6cd5\uff0c\u7528\u4e8e\u8f6c\u7f6e\uff0c\u540c\u6837\u4f1a\u8fd4\u56de\u4e00\u4e2a\u65b0\u6570\u7ec4\u3002<\/p>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e8c\u7ef4\u6570\u7ec4\nx1 = np.arange(12).reshape(3,4)\n# \u8f6c\u7f6e\nx1.T\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([[ 0,  4,  8],\n       [ 1,  5,  9],\n       [ 2,  6, 10],\n       [ 3,  7, 11]])\n\u539f\u6570\u7ec4\uff1a\narray([[ 0,  1,  2,  3],\n       [ 4,  5,  6,  7],\n       [ 8,  9, 10, 11]])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<h3>18\u3001\u5982\u4f55\u8fde\u63a5\u4e24\u4e2a\u76f8\u540c\u7ef4\u5ea6\u7684\u6570\u7ec4\uff1f<\/h3>\n<p>numpy\u7684concatenate \u51fd\u6570\u7528\u4e8e\u6cbf\u6307\u5b9a\u8f74\u8fde\u63a5\u76f8\u540c\u5f62\u72b6\u7684\u4e24\u4e2a\u6216\u591a\u4e2a\u6570\u7ec4\u3002<\/p>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e24\u4e2a\u4e8c\u7ef4\u6570\u7ec4\nx1 = np.array([[1,2,3],[4,5,6]])\nx2 = np.array([[7,8,9],[10,11,12]])\n# \u8fde\u63a5,\u9ed8\u8ba4\u6cbf0\u8f74\u8fde\u63a5\nnp.concatenate((x1,x2))\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([[ 1,  2,  3],\n       [ 4,  5,  6],\n       [ 7,  8,  9],\n       [10, 11, 12]])\n\\'\\'\\'\n# \u6307\u5b9a\u6cbf1\u8f74\u8fde\u63a5\nnp.concatenate((x1,x2),axis=1)\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([[ 1,  2,  3,  7,  8,  9],\n       [ 4,  5,  6, 10, 11, 12]])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<h3>19\u3001\u5982\u4f55\u5411\u6570\u7ec4\u6dfb\u52a0\u503c\uff1f<\/h3>\n<ul>\n<li>numpy\u7684append \u51fd\u6570\u5411\u6570\u7ec4\u672b\u5c3e\u8ffd\u52a0\u503c\uff0c\u53ef\u4ee5\u6307\u5b9a\u4e0d\u540c\u7684\u8f74\u3002<\/li>\n<\/ul>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\nx1 = np.array([[1,2,3],[4,5,6]])\n# \u76f4\u63a5\u5411\u6570\u7ec4\u672b\u5c3e\u6dfb\u52a0\u5143\u7d20\uff0c\u8fd4\u56de\u5e73\u94fa\u7684\u4e00\u7ef4\u6570\u7ec4\nnp.append(x1,[7,8,9])\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([1, 2, 3, 4, 5, 6, 7, 8, 9])\n\\'\\'\\'\n# \u6cbf\u8f74 0 \u6dfb\u52a0\u5143\u7d20\nnp.append(x1, [[7,8,9]],axis = 0)\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([[1, 2, 3],\n       [4, 5, 6],\n       [7, 8, 9]])\n\\'\\'\\'\n# \u6cbf\u8f74 1 \u6dfb\u52a0\u5143\u7d20\nnp.append(x1, [[5,5,5],[7,8,9]],axis = 1)\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([[1, 2, 3, 5, 5, 5],\n       [4, 5, 6, 7, 8, 9]])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<ul>\n<li>numpy\u7684insert \u51fd\u6570\u53ef\u4ee5\u6cbf\u7ed9\u5b9a\u8f74\uff0c\u5728\u6570\u7ec4\u4e2d\u4efb\u610f\u4f4d\u7f6e\u63d2\u5165\u6570\u636e\u3002<\/li>\n<\/ul>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\nx1 = np.array([[1,2,3],[4,5,6],[7,8,9]])\n# \u76f4\u63a5\u5728\u6307\u5b9a\u4f4d\u7f6e\u63d2\u5165\u5143\u7d20\uff0c\u8fd4\u56de\u5e73\u94fa\u7684\u4e00\u7ef4\u6570\u7ec4\nnp.insert(x1,2,[0,0,0])\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([1, 2, 0, 0, 0, 3, 4, 5, 6, 7, 8, 9])\n\u539f\u6570\u7ec4\uff1a\narray([[1, 2, 3],\n       [4, 5, 6],\n       [7, 8, 9]])\n\\'\\'\\'\n# \u6307\u5b9a\u4f4d\u7f6e\uff0c\u6cbf\u8f74 0 \u63d2\u5165\u5143\u7d20\nnp.insert(x1,1,[0,0,0],axis=0)\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([[1, 2, 3],\n       [0, 0, 0],\n       [4, 5, 6],\n       [7, 8, 9]])\n\\'\\'\\'\n# \u6307\u5b9a\u4f4d\u7f6e\uff0c\u6cbf\u8f74 1\u63d2\u5165\u5143\u7d20\nnp.insert(x1,2,[0,0,0],axis=1)\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([[1, 2, 0, 3],\n       [4, 5, 0, 6],\n       [7, 8, 0, 9]])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<h3>20\u3001\u5982\u4f55\u5bf9\u6570\u7ec4\u8fdb\u884c\u53bb\u91cd\u64cd\u4f5c\uff1f<\/h3>\n<p>numpy\u7684unique \u51fd\u6570\u7528\u4e8e\u53bb\u9664\u6570\u7ec4\u4e2d\u7684\u91cd\u590d\u5143\u7d20\uff0c\u8fd4\u56de\u4e00\u4e2a\u65b0\u6570\u7ec4\u3002<\/p>\n<div>\n<pre>import numpy as np\n# \u521b\u5efa\u4e00\u4e2a\u4e00\u7ef4\u6570\u7ec4\nx1 = np.array([2,3,5,1,3,8,1,0])\nnp.unique(x1)\n\\'\\'\\'\n\u8f93\u51fa\uff1a\narray([0, 1, 2, 3, 5, 8])\n\\'\\'\\'\n<\/pre>\n<\/div>\n<p>unique\u51fd\u6570\u8fd8\u80fd\u8fd4\u56de\u91cd\u590d\u5143\u7d20\u7684\u7d22\u5f15\u3001\u8ba1\u6570\u7b49\u4fe1\u606f\uff0c\u53ef\u53bb\u67e5\u6587\u6863\u81ea\u5b9a\u4e49\u53c2\u6570\u3002\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>1\u3001\u4ec0\u4e48\u662fnumpy\uff1f \u4e00\u8a00\u4ee5\u853d\u4e4b\uff0cnumpy\u662fpython\u4e2d\u57fa\u4e8e\u6570\u7ec4\u5bf9\u8c61\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\u3002 \u63d0\u70bc\u5173\u952e\u5b57\uff0c\u53ef\u4ee5\u5f97\u51fa &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"http:\/\/www.weijing.co\/?p=1670\"> <span class=\"screen-reader-text\">Numpy\u4ecb\u7ecd<\/span> \u67e5\u770b\u5168\u6587 &raquo;<\/a><\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":""},"categories":[106,126],"tags":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"mailpoet_newsletter_max":false,"woocommerce_thumbnail":false,"woocommerce_single":false,"woocommerce_gallery_thumbnail":false,"shop_catalog":false,"shop_single":false,"shop_thumbnail":false},"uagb_author_info":{"display_name":"weijing","author_link":"http:\/\/www.weijing.co\/?author=4"},"uagb_comment_info":0,"uagb_excerpt":"1\u3001\u4ec0\u4e48\u662fnumpy\uff1f \u4e00\u8a00\u4ee5\u853d\u4e4b\uff0cnumpy\u662fpython\u4e2d\u57fa\u4e8e\u6570\u7ec4\u5bf9\u8c61\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\u3002 \u63d0\u70bc\u5173\u952e\u5b57\uff0c\u53ef\u4ee5\u5f97\u51fa&hellip;","_links":{"self":[{"href":"http:\/\/www.weijing.co\/index.php?rest_route=\/wp\/v2\/posts\/1670"}],"collection":[{"href":"http:\/\/www.weijing.co\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.weijing.co\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.weijing.co\/index.php?rest_route=\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"http:\/\/www.weijing.co\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1670"}],"version-history":[{"count":0,"href":"http:\/\/www.weijing.co\/index.php?rest_route=\/wp\/v2\/posts\/1670\/revisions"}],"wp:attachment":[{"href":"http:\/\/www.weijing.co\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1670"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.weijing.co\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1670"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.weijing.co\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1670"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}