{"id":847,"date":"2021-01-25T21:58:32","date_gmt":"2021-01-25T13:58:32","guid":{"rendered":"https:\/\/byy3.com\/?p=847"},"modified":"2021-01-25T21:58:32","modified_gmt":"2021-01-25T13:58:32","slug":"%e9%80%82%e7%94%a8%e4%ba%8epython%e5%88%9d%e5%ad%a6%e8%80%85%e7%9a%84numpy%e6%89%8b%e5%86%8c","status":"publish","type":"post","link":"https:\/\/byy3.com\/?p=847","title":{"rendered":"\u9002\u7528\u4e8epython\u521d\u5b66\u8005\u7684Numpy\u624b\u518c"},"content":{"rendered":"
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\u5728\u6b64\u535a\u5ba2\u4e2d\uff0c\u6211\u4eec\u5c06\u8ba8\u8bbapython\u4e2d\u7684Numpy\u5e93\uff0c\u7a0d\u540e\u6211\u4eec\u8fd8\u5c06\u51c6\u5907\u4e00\u4e2a\u7b14\u8bb0\u672c\uff0c\u4ee5\u540e\u6211\u4eec\u53ef\u4ee5\u5c06\u5176\u7528\u4f5c<\/span>\u624b\u518c<\/span><\/strong>\u3002<\/span><\/p>\n

\u4ec0\u4e48\u662fNumpy\uff1f<\/span><\/h1>\n

Numpy\u4ee3\u8868\u201c\u6570\u503cPython\u201d\uff0c\u5b83\u662f\u7528\u4e8e\u5404\u79cd\u79d1\u5b66\u8ba1\u7b97\u7684python\u5e93\u3002\u5b83\u7531\u8bb8\u591a\u591a\u7ef4\u6570\u7ec4\u548c\u4e00\u7ec4\u5904\u7406\u5b83\u4eec\u7684\u4f8b\u7a0b\u7ec4\u6210\u3002\u901a\u8fc7\u6dfb\u52a0\u5927\u91cf\u9ad8\u7ea7\u6570\u5b66\u51fd\u6570\uff0c\u5b83\u589e\u52a0\u4e86\u5bf9\u77e9\u9635\u548c\u5927\u578b\u591a\u7ef4\u6570\u7ec4\u7684\u989d\u5916\u652f\u6301\u3002\u5b83\u7531Travis Oliphant\u4e8e2005\u5e74\u521b\u5efa\u3002\u8fd9\u662f\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u60a8\u53ef\u4ee5\u5728\u4ee3\u7801\u4e2d\u81ea\u7531\u4f7f\u7528\u5b83\u3002<\/span><\/p>\n

\u5728python\u4e2d\uff0c\u6211\u4eec\u6709\u53ef\u4ee5\u6ee1\u8db3\u6570\u7ec4\u76ee\u7684\u7684\u5217\u8868\uff0c\u4f46\u662f\u5217\u8868\u7684\u95ee\u9898\u662f\u5b83\u4eec\u5904\u7406\u7f13\u6162\u3002\u53e6\u4e00\u65b9\u9762\uff0cNumPy\u6570\u7ec4\u6bd4List\u66f4\u5177\u4f18\u52bf\u3002\u5b83\u4eec\u6bd4\u5217\u8868\u5feb\u5f97\u591a\uff0c\u56e0\u4e3a\u5b83\u4eec\u5b58\u50a8<\/span>\u5728\u5185\u5b58<\/span><\/strong>\u4e2d\u7684\u4e00\u4e2a\u8fde\u7eed\u4f4d\u7f6e\u4e2d\u3002<\/strong>\u800c\u4e14\uff0cNumPy\u9635\u5217\u7ecf\u8fc7\u4f18\u5316\u53ef\u5728CPU\u5185\u6838\u4e0a\u5de5\u4f5c\u3002<\/span><\/p>\n

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\u60a8\u53ef\u4ee5<\/span><\/em>\u5728\u6b64\u5904<\/em><\/strong><\/a>\u627e\u5230\u521d\u5b66\u8005\u7684\u718a\u732b\u624b\u518c<\/em>\u3002<\/em><\/strong><\/span><\/p>\n<\/blockquote>\n

\u535a\u5ba2\u4e2d\u6db5\u76d6\u7684\u6982\u5ff5<\/span><\/h1>\n
    \n
  1. \u5b89\u88c5\u548c\u73af\u5883\u8bbe\u7f6e<\/span><\/li>\n
  2. \u521b\u5efa\u6570\u7ec4<\/span><\/li>\n
  3. \u57fa\u672c\u529f\u80fd<\/span><\/li>\n
  4. \u6570\u636e\u7c7b\u578b\u548c\u8f6c\u6362<\/span><\/li>\n
  5. \u521d\u59cb\u5316\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u7ec4<\/span><\/li>\n
  6. \u8fd0\u4f5c\u65b9\u5f0f<\/span><\/li>\n
  7. \u8bbf\u95ee\u548c\u66f4\u6539\u7279\u5b9a\u5143\u7d20\uff0c\u884c\uff0c\u5217<\/span><\/li>\n
  8. \u4e09\u89d2\u51fd\u6570<\/span><\/li>\n
  9. \u7edf\u8ba1<\/span><\/li>\n
  10. \u91cd\u5851<\/span><\/li>\n<\/ol>\n<\/div>\n<\/div>\n<\/section>\n
    <\/div>\n
    \n
    \n
    \n

    \u5b89\u88c5\u548c\u73af\u5883\u8bbe\u7f6e<\/span><\/h1>\n

    \u6211\u4eec\u53ef\u4ee5\u7b80\u5355\u5730\u4f7f\u7528Pip\u5b89\u88c5NumPy\u3002\u53ea\u9700\u6253\u5f00\u60a8\u7684CMD\u6216\u7ec8\u7aef\u5e76\u8f93\u5165<\/span><\/p>\n

    \u70b9\u5b89\u88c5numpy<\/span><\/span><\/pre>\n
    \u73b0\u5728\u6d4b\u8bd5\u5b89\u88c5\u662f\u5426\u6210\u529f\uff0c\u53ea\u9700\u952e\u5165<\/span>python<\/code>\uff0c\u7136\u540e<\/span>import numpy<\/code>\u4e00\u5207\u6b63\u5e38\uff0c\u5c31\u4e0d\u4f1a\u770b\u5230\u4efb\u4f55\u9519\u8bef\u3002<\/span><\/p>\n
    \u5728\u6b64\u535a\u5ba2\u4e2d\uff0c\u6211\u4eec\u7684\u4e3b\u8981\u91cd\u70b9\u662f\u4e3a\u6211\u4eec\u521b\u5efa\u4e00\u672c\u624b\u518c\u3002\u6211\u4eec\u5c06\u4f7f\u7528google colab\uff0c\u4ee5\u4fbf\u5373\u4f7f\u901a\u8fc7\u79fb\u52a8\u8bbe\u5907\u4e5f\u53ef\u4ee5\u8f7b\u677e\u8bbf\u95ee\u6211\u4eec\u7684\u624b\u518c\u3002\u53ea\u9700\u8bbf\u95ee<\/span>Google Colabotary<\/span><\/a>\u5e76\u4e3a\u60a8\u521b\u5efa\u4e00\u4e2a\u5e10\u6237\u5373\u53ef\u3002\u7136\u540e\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u7b14\u8bb0\u672c\uff0c\u5e76\u5c06\u5176\u547d\u540d\u4e3aNumpy Handbook\u6216\u60a8\u559c\u6b22\u7684\u5176\u4ed6\u540d\u79f0\u3002\u73b0\u5728\u60a8\u5df2\u7ecf\u5b8c\u6210\u6240\u6709\u8bbe\u7f6e\uff0c\u5173\u6ce8\u535a\u5ba2\uff0c\u5e76\u5f00\u59cb\u7f16\u5199\u4ee3\u7801\u3002<\/span><\/p>\n
    \u6211\u4eec\u9996\u5148\u5bfc\u5165Numpy<\/span><\/p>\n
    \u5c06numpy\u5bfc\u5165\u4e3anp<\/span><\/span><\/pre>\n<\/div>\n<\/div>\n<\/section>\n
    <\/div>\n
    \n
    \n
    \n
    \u521b\u5efa\u6570\u7ec4<\/span><\/h1>\n
    \u4f7f\u7528Numpy\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u7ef4\u548c\u591a\u7ef4\u6570\u7ec4\u3002<\/span><\/p>\n
    -\uff1a\u4e00\u7ef4\u6570\u7ec4\uff1a-<\/span><\/strong><\/p>\n
    arr = np.array\uff08[1,2,3,4,5]\uff09<\/span>\r\n######## OUTPUT ########## <\/span>\r\narray \uff08[1,2,3,4,5 ]\uff09<\/span><\/span><\/pre>\n
    -\uff1a\u591a\u7ef4\u6570\u7ec4\uff1a-<\/span><\/strong><\/p>\n
    ### 2d<\/span>\r\n<\/strong>\u6570\u7ec4= np.array\uff08[[1,2,3,4,5]\uff0c<\/span>\r\n [6,7,8,9,10]]\uff09<\/span>\r\n### 3d<\/span>\r\n<\/strong> lst1 = [1,2,3,4 \uff0c5] <\/span>\r\nlst2 = [6,7,8,9,10] <\/span>\r\nlst3 = [11,12,13,14,15] <\/span>\r\narray = np.array\uff08[[lst1]\uff0c[lst2]\uff0c[lst3]]\uff09<\/span><\/span>4d\uff0c5d\uff0c---\u521b\u5efa\u6570\u7ec4\uff0c\u6211\u4eec\u53ea\u9700\u8981\u4ee5\u5217\u8868\u7684\u5f62\u5f0f\u6dfb\u52a0\u8fd9\u4e9b\u591a\u7ef4\u3002<\/span><\/strong><\/span><\/pre>\n<\/div>\n<\/div>\n<\/section>\n
    <\/div>\n
    \n
    \n
    \n
    \u57fa\u672c\u529f\u80fd<\/span><\/h1>\n
    Numpy\u4e2d\u6709\u8bb8\u591a\u57fa\u672c\u529f\u80fd\uff0c\u4f46\u662f\u5728\u672c\u535a\u5ba2\u4e2d\uff0c\u6211\u4eec\u5c06\u91cd\u70b9\u4ecb\u7ecd\u7528\u4e8e\u8bc6\u522b\u6570\u7ec4\u7684\u6700\u5177\u4f53\u529f\u80fd\u3002<\/span><\/p>\n
      \n
    1. ndim<\/span>
      \n<\/strong>\u8fd4\u56de\u6570\u7ec4\u7ef4\u6570<\/span><\/li>\n
    2. shape<\/span>
      \n<\/strong>\u8fd4\u56de\u6570\u7ec4\u7684\u5f53\u524d\u5f62\u72b6\u3002<\/span><\/li>\n
    3. dtype<\/span>
      \n\u8fd4\u56de\u6570\u7ec4\u7684\u7c7b\u578b<\/span><\/li>\n
    4. itemssize<\/span>
      \n\u8fd4\u56de\u6570\u7ec4\u7684\u5927\u5c0f<\/span><\/li>\n
    5. nbytes<\/span>
      \n\u8fd4\u56de\u5b58\u50a8\u5728\u5185\u5b58\u4e2d\u7684\u603b\u5927\u5c0f<\/span><\/li>\n
    6. arange<\/span>
      \n\u8fd4\u56de\u4e00\u4e2a\u5177\u6709\u5747\u5300\u7a7a\u683c\u6570\u5b57<\/span>
      \nnp.arange\uff0820\uff09\u7684\u6570\u7ec4\uff1a-\u8fd4\u56de\u4e00\u4e2a\u5177\u67090\u523019\u4e2a\u6570\u5b57\u7684\u6570\u7ec4\u3002<\/span><\/li>\n
    7. argmax<\/span>
      \n\u8fd4\u56de\u6570\u7ec4\u7684\u6700\u5927\u503c<\/span><\/li>\n<\/ol>\n
      \u6570\u7ec4= np.array\uff08[[1,2,3,4,5]\uff0c[6,7,8,9,10]\uff0c[11,12,13,14,15]]\uff09<\/span><\/span>array.ndim<\/span>\r\n<\/strong> > 3 <\/span>\r\narray.shape<\/span>\r\n<\/strong> >\uff083\uff0c1\uff0c5<\/strong>\uff09<\/span>\r\narray.dtype<\/span>\r\n<\/strong> > dtype<\/strong>\uff08'int64'\uff09<\/span>\r\narray.itemsize<\/span>\r\n<\/strong> > 8 <\/span>\r\narray.size<\/span>\r\n<\/strong> > 15 <\/span>\r\nnp.arange\uff088\uff09<\/span>\r\n<\/strong> > array\uff08[0\uff0c1\uff0c<\/span>\r\n2\u30013\u30014\u30015\u30016\u30017<\/span>\r\n<\/strong> ]\uff09np.argmax\uff08array\uff09<\/strong> > 14<\/span><\/span><\/pre>\n<\/div>\n<\/div>\n<\/section>\n
      <\/div>\n
      \n
      \n
      \n
      \u6570\u636e\u7c7b\u578b\u548c\u8f6c\u6362<\/span><\/h1>\n
      NumPy\u6bd4python\u652f\u6301\u66f4\u5e7f\u6cdb\u7684\u6570\u5b57\u7c7b\u578b\u3002\u6709\u8da3\u7684\u4e8b\u5b9e\u662f\uff0c\u5c31\u50cfpython\u4e2d\u7684\u7c7b\u578b\u8f6c\u6362\u4e00\u6837\uff0c\u6211\u4eec\u4e5f\u53ef\u4ee5\u5728NumPy\u4e2d\u5c06\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u4e3a\u53e6\u4e00\u79cd\u3002\u4e0b\u9762\u662fNumPy\u4e2d\u91cd\u8981\u6570\u636e\u7c7b\u578b\u7684\u5217\u8868\u3002<\/span><\/p>\n
      bool_\uff1a<\/span><\/strong>\u8fd4\u56deTrue\u548cFalse <\/span>\r\nint_\uff1a<\/span><\/strong>\u9ed8\u8ba4\u6574\u6570\u7c7b\u578b\uff08int32\u6216int 64\uff09<\/span>\r\nintc\uff1a<\/span><\/strong>\u4e0eint\u76f8\u540cC int\uff08int32\u6216int 64\uff09<\/span>\r\nintp\uff1a<\/span><\/strong>\u7528\u4e8e\u7d22\u5f15\u7684\u6574\u6570<\/span>\r\nint8\uff1a<\/span><\/strong>\u5b57\u8282\uff08-128\u81f3127\uff09<\/span>\r\nint16\uff1a<\/span><\/strong>\u5b57\u8282\uff08- 32768\u81f332767\uff09<\/span>\r\nint32\uff1a<\/span><\/strong>\u5b57\u8282\uff08-2147483648\u81f32147483647\uff09<\/span>\r\nint64\uff1a<\/span><\/strong>\u5b57\u8282\uff08-9223372036854775808\u81f39223372036854775807\uff09<\/span>\r\nuint8\uff1a<\/span><\/strong>\u5b57\u8282\uff080\u81f3255\uff09<\/span>\r\nuint16\uff1a<\/span><\/strong>\u5b57\u8282\uff080\u81f365535\uff09<\/span>\r\nuint32\uff1a<\/span><\/strong>\u5b57\u8282\uff080\u81f34294967295\uff09<\/span>\r\nuint64\uff1a<\/span><\/strong>\u5b57\u8282\uff08 0\u81f318446744073709551615\uff09<\/span>\r\nfloat_\uff1a<\/span><\/strong> float <\/span>\r\nfloat16\uff1a<\/span><\/strong>\u4e00\u534a<\/span> \u7cbe\u5ea6\u6d6e\u70b9\u6570\uff1a5\u4f4d\u81f310\u5c3e\u6570<\/span>\r\nfloat32\uff1a<\/span><\/strong>\u5355\u7cbe\u5ea6\u6d6e\u70b9\u6570\uff1a8\u4f4d\u81f323\u5c3e\u6570<\/span>\r\nfloat64\uff1a<\/span><\/strong>\u53cc<\/span> \u7cbe\u5ea6\u6d6e\u70b9\u6570\uff1a11\u4f4d\u81f353\u5c3e\u6570<\/span>\r\ncomplex_\uff1a<\/span><\/strong>\u590d\u6570128 <\/span>\r\ncomplex64\uff1a<\/span><\/strong>\u590d\u6570\uff0c\u7531\u4e24\u4e2a32\u4f4d\u6d6e\u70b9\u8868\u793a<\/span>\r\ncomplex128\uff1a<\/span><\/strong>\u590d\u6570\u7531\u4e24\u4e2a64\u4f4d\u6d6e\u70b9\u6570\u8868\u793a<\/span><\/span><\/pre>\n
      \u8981\u5c06\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u4e3a\u53e6\u4e00\u79cd\uff0c\u6211\u4eec<\/span>astype<\/code>\u5728numpy\u4e2d\u63d0\u4f9b\u4e86\u4e00\u4e2a\u51fd\u6570\u3002\u5728\u51fd\u6570\u4e2d\u4f5c\u4e3a\u53c2\u6570\uff0c\u6211\u4eec\u9700\u8981\u4f20\u9012\u6570\u636e\u7c7b\u578b\u3002<\/span><\/p>\n
      array = np.array\uff08[1,2,3,4,5]\uff09<\/span>\r\narray.dtype <\/span>\r\n> dtype \uff08'int64'\uff09<\/span><\/span>\u6570\u7ec4=\u6570\u7ec4\u3002<\/span>astype\uff08'float32'\uff09<\/span><\/strong>\r\n array.dtype <\/span>\r\n> dtype \uff08'float32'\uff09<\/span><\/span><\/pre>\n<\/div>\n<\/div>\n<\/section>\n
      <\/div>\n
      \n
      \n
      \n
      \u521d\u59cb\u5316\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u7ec4<\/span><\/h1>\n
      \u6211\u4eec\u53ef\u4ee5\u4f7f\u7528python\u521d\u59cb\u5316\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u7ec4\uff0c\u4f8b\u5982\u6570\u7ec4\u6216\u96f6\u548c\u4e00\u6216\u968f\u673a\u6570\u6216\u7a7a\u3002<\/span><\/p>\n
      \u25b6\u96f6\u6570\u7ec4<\/span>\r\n<\/strong>np.zeros\uff08\uff082,3\uff09\uff09<\/span>\r\n><\/span><\/strong>\u6570\u7ec4\uff08[[0.\uff0c0.\uff0c0.]\uff0c <\/span>\r\n [0.\uff0c0.\uff0c0.]]\uff09<\/span><\/span>\u25b6\u4e2a1\u7684\u6570\u7ec4<\/span>\r\n<\/strong>np.ones\uff08\uff082,2,2\uff09\uff09<\/span>\r\n><\/span><\/strong> array\uff08[[[ <\/span>\r\n [1\u3002\uff0c1.]\uff0c[1.\uff0c1.]]\uff0c <\/span>\r\n [[1.\uff0c1.]\uff0c <\/span>\r\n [1\u3002 \uff0c1.]]]\uff09<\/span><\/span>\u25b6\u968f\u673a\u6570\u6570\u7ec4<\/span>\r\n<\/strong>np.full\uff08\uff082,2\uff09\uff0c5\uff09<\/span>\r\n><\/span><\/strong> array\uff08[[5\uff0c5]\uff0c<\/span>\r\n [5\uff0c5]]\uff09<\/span><\/span>\u25b6\u9884\u5b9a\u4e49\u6570\u7ec4\u5f62\u72b6\u7684\u6570\u7ec4<\/span>\r\n<\/strong>arr = np.zeros\uff08\uff083,3\uff09\uff09<\/span>\r\nnp.full_like\uff08arr\uff0c4\uff09<\/span>\r\n><\/span><\/strong> array\uff08[[ <\/span>\r\n [4\u3002\uff0c4.\uff0c4 .]\uff0c[4.\uff0c4.\uff0c4 \u3002]\uff0c<\/span>\r\n [4.\uff0c4.\uff0c4\u3002]]\uff09<\/span><\/span>arr = np.zeros\uff08\uff083,3\uff09\uff09<\/span>\r\nnp.ones_like\uff08arr\uff09<\/span>\r\n><\/span><\/strong> array\uff08[[1\u3002\uff0c1.\uff0c1.]\uff0c<\/span>\r\n [1.\uff0c1.\uff0c1.]\uff0c<\/span>\r\n [1.\uff0c1\u3002 \uff0c1.]]\uff09<\/span><\/span>\u25b6\u968f\u673a\u6570\u6570\u7ec4\uff08\u5341\u8fdb\u5236\uff09<\/span>\r\n<\/strong> np.random.rand\uff084,2\uff09<\/span>\r\n><\/span><\/strong>\u6570\u7ec4\uff08[[[2\uff0c3]\uff0c<\/span>\r\n [2\uff0c3]\uff0c<\/span>\r\n [2\uff0c3]\uff0c<\/span>\r\n [1\uff0c0]]\uff09<\/span><\/span>\u25b6\u968f\u673a\u6570\u6570\u7ec4\uff08\u6574\u6570\uff09<\/span>\r\n<\/strong> np.random.seed\uff0842\uff09<\/span>##\u6bcf\u6b21\u76f8\u540c\u7684\u7ed3\u679c<\/span><\/strong>\r\nnp.random.randint\uff085\uff0csize =\uff084,2\uff09\uff09<\/span>\r\n><\/span><\/strong> array\uff08[[ 3\uff0c0 ]\uff0c<\/span>\r\n [2 \uff0c1]\uff0c<\/span>\r\n [4\u30011]\uff0c<\/span>\r\n [2\u30010]]\uff09<\/span><\/span>\u25b6\u91cd\u590d\u6570\u7ec4<\/span>\r\n<\/strong>arr = np.array\uff08[[1,2 ,, [3,4]]\uff09<\/span>\r\nr1 = np.repeat\uff08arr\uff0c2\uff0caxis = 0\uff09 <\/span>##\uff08PREV_ARRAY\uff0cNUM_OF_REPEATION\uff0cAXIS\uff09<\/span><\/strong>\r\n><\/span><\/strong> array\uff08 [[1\u30012]\uff0c<\/span>\r\n [1\u30012]\uff0c<\/span>\r\n [3\u30014]\uff0c<\/span>\r\n [3\u30014]]\uff09<\/span><\/span>\u25b6\u590d\u5236\u6570\u7ec4<\/span>\r\n<\/strong>arr2 = arr1.copy\uff08\uff09<\/span><\/span>\u25b6linspace<\/span>\r\n<\/strong>\u6b64\u51fd\u6570\u7c7b\u4f3c\u4e8earange\uff08\uff09\u51fd\u6570\u3002\u5728\u6b64\u529f\u80fd\u4e2d\uff0c\u5c06\u6307\u5b9a\u95f4\u9694\u4e4b\u95f4\u5747\u5300\u95f4\u9694\u7684\u503c\u7684\u6570\u91cf\uff0c\u800c\u4e0d\u662f\u6b65\u957f\u3002<\/span>\r\nnumpy.linspace\uff08start\uff0cstop\uff0cnum\uff0cendpoint\uff0cretstep\uff0cdtype\uff09<\/span>\r\nnum\uff1a<\/span><\/em>\u8981\u751f\u6210\u7684\u5747\u5300\u95f4\u9694\u7684\u6837\u672c\u6570\u3002\u9ed8\u8ba4<\/em>\u503c-> 50<\/span><\/span>np.linspace\uff0810,20\uff0c5\uff0c\u7aef\u70b9= False\uff09<\/span>\r\n><\/span><\/strong>\u6570\u7ec4\uff08[10.\uff0c12.\uff0c14.\uff0c16.\uff0c18.]\uff09<\/span><\/span>\u25b6logspace<\/span>\r\n<\/strong>\u6b64\u51fd\u6570\u8fd4\u56de\u4e00\u4e2andarray\u5bf9\u8c61\uff0c\u8be5\u5bf9\u8c61\u5305\u542b\u5728\u5bf9\u6570\u523b\u5ea6\u4e0a\u5747\u5300\u95f4\u9694\u7684\u6570\u5b57\u3002\u6807\u5ea6\u7684\u8d77\u70b9\u548c\u7ec8\u70b9\u662f\u57fa\u51c6\u7684\u7d22\u5f15\uff0c\u901a\u5e38\u4e3a<\/span>\r\n10\u3002numpy.logspace\uff08start\uff0cstop\uff0cnum\uff0cendpoint\uff0cbase\uff0cdtype\uff09<\/span>\r\nbase<\/span><\/em>\uff1a\u65e5\u5fd7\u7a7a\u95f4\u7684\u57fa\u51c6\uff0c\u9ed8\u8ba4\u4e3a10<\/span><\/span>np.logspace\uff081,5\uff0cnum = 5\uff0cbase = 2\uff09<\/span>\r\n><\/span><\/strong> array\uff08[2.\uff0c4.\uff0c8.\uff0c16.\uff0c32.]\uff09<\/span><\/span><\/pre>\n
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