{"id":1101287,"date":"2025-01-08T15:48:10","date_gmt":"2025-01-08T07:48:10","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1101287.html"},"modified":"2025-01-08T15:48:12","modified_gmt":"2025-01-08T07:48:12","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e5%86%99%e7%ad%89%e9%97%b4%e9%9a%94%e7%9a%84%e5%9d%90%e6%a0%87-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1101287.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u5199\u7b49\u95f4\u9694\u7684\u5750\u6807"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25064136\/24c196f8-0495-42eb-8d0e-dc504356f15c.webp\" alt=\"python\u4e2d\u5982\u4f55\u5199\u7b49\u95f4\u9694\u7684\u5750\u6807\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\u5199\u7b49\u95f4\u9694\u7684\u5750\u6807\u6709\u51e0\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528NumPy\u5e93\u7684linspace\u51fd\u6570\u3001\u4f7f\u7528range\u548carange\u51fd\u6570\u3001\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u3001\u5728\u7ed8\u56fe\u4e2d\u4f7f\u7528Matplotlib\u3002\u4e0b\u9762\u8be6\u7ec6\u89e3\u91ca\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528NumPy\u5e93\u7684linspace\u51fd\u6570\u3002<\/strong><\/p>\n<\/p>\n<p><p>NumPy\u5e93\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u6570\u5b66\u51fd\u6570\u548c\u5de5\u5177\uff0c\u5176\u4e2dlinspace\u51fd\u6570\u7528\u4e8e\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\u3002linspace\u51fd\u6570\u63a5\u53d7\u4e09\u4e2a\u53c2\u6570\uff1a\u8d77\u59cb\u503c\u3001\u7ec8\u6b62\u503c\u548c\u751f\u6210\u7684\u7b49\u95f4\u9694\u6570\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528linspace\u51fd\u6570\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>start = 0  # \u8d77\u59cb\u503c<\/p>\n<p>end = 10  # \u7ec8\u6b62\u503c<\/p>\n<p>num_points = 5  # \u751f\u6210\u7684\u7b49\u95f4\u9694\u6570<\/p>\n<h2><strong>\u4f7f\u7528linspace\u51fd\u6570\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807<\/strong><\/h2>\n<p>coordinates = np.linspace(start, end, num_points)<\/p>\n<p>print(coordinates)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ee3\u7801\u5c06\u751f\u6210\u4ece0\u523010\u76845\u4e2a\u7b49\u95f4\u9694\u7684\u5750\u6807\uff1a[0.  2.5 5.  7.5 10.]\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528NumPy\u5e93\u751f\u6210\u7b49\u95f4\u9694\u5750\u6807<\/h3>\n<\/p>\n<p><p>NumPy\u5e93\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\u4e4b\u4e00\uff0c\u63d0\u4f9b\u4e86\u591a\u79cd\u751f\u6210\u7b49\u95f4\u9694\u5750\u6807\u7684\u65b9\u6cd5\u3002\u9664\u4e86linspace\u51fd\u6570\uff0cNumPy\u8fd8\u63d0\u4f9b\u4e86arange\u51fd\u6570\u6765\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\u3002\u4e0d\u540c\u4e8elinspace\u51fd\u6570\uff0carange\u51fd\u6570\u63a5\u53d7\u8d77\u59cb\u503c\u3001\u7ec8\u6b62\u503c\u548c\u6b65\u957f\u4f5c\u4e3a\u53c2\u6570\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528arange\u51fd\u6570\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>start = 0  # \u8d77\u59cb\u503c<\/p>\n<p>end = 10  # \u7ec8\u6b62\u503c<\/p>\n<p>step = 2.5  # \u6b65\u957f<\/p>\n<h2><strong>\u4f7f\u7528arange\u51fd\u6570\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807<\/strong><\/h2>\n<p>coordinates = np.arange(start, end + step, step)<\/p>\n<p>print(coordinates)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ee3\u7801\u5c06\u751f\u6210\u4ece0\u523010\u7684\u6b65\u957f\u4e3a2.5\u7684\u7b49\u95f4\u9694\u5750\u6807\uff1a[0.  2.5 5.  7.5 10.].<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528range\u51fd\u6570\u751f\u6210\u7b49\u95f4\u9694\u5750\u6807<\/h3>\n<\/p>\n<p><p>range\u51fd\u6570\u662fPython\u5185\u7f6e\u51fd\u6570\u4e4b\u4e00\uff0c\u7528\u4e8e\u751f\u6210\u7b49\u95f4\u9694\u7684\u6574\u6570\u5e8f\u5217\u3002\u867d\u7136range\u51fd\u6570\u4e0d\u80fd\u76f4\u63a5\u751f\u6210\u6d6e\u70b9\u6570\u5e8f\u5217\uff0c\u4f46\u53ef\u4ee5\u7ed3\u5408\u5217\u8868\u63a8\u5bfc\u6765\u751f\u6210\u7b49\u95f4\u9694\u7684\u6d6e\u70b9\u6570\u5750\u6807\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528range\u51fd\u6570\u751f\u6210\u7b49\u95f4\u9694\u7684\u6574\u6570\u5750\u6807\uff0c\u5e76\u901a\u8fc7\u5217\u8868\u63a8\u5bfc\u751f\u6210\u7b49\u95f4\u9694\u7684\u6d6e\u70b9\u6570\u5750\u6807\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">start = 0  # \u8d77\u59cb\u503c<\/p>\n<p>end = 10  # \u7ec8\u6b62\u503c<\/p>\n<p>num_points = 5  # \u751f\u6210\u7684\u7b49\u95f4\u9694\u6570<\/p>\n<h2><strong>\u4f7f\u7528range\u51fd\u6570\u751f\u6210\u7b49\u95f4\u9694\u7684\u6574\u6570\u5750\u6807<\/strong><\/h2>\n<p>coordinates = [start + i * (end - start) \/ (num_points - 1) for i in range(num_points)]<\/p>\n<p>print(coordinates)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ee3\u7801\u5c06\u751f\u6210\u4ece0\u523010\u76845\u4e2a\u7b49\u95f4\u9694\u7684\u6d6e\u70b9\u6570\u5750\u6807\uff1a[0.0, 2.5, 5.0, 7.5, 10.0]\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u751f\u6210\u7b49\u95f4\u9694\u5750\u6807<\/h3>\n<\/p>\n<p><p>\u5217\u8868\u63a8\u5bfc\u662f\u4e00\u79cd\u7b80\u6d01\u7684\u751f\u6210\u5217\u8868\u7684\u65b9\u5f0f\uff0c\u53ef\u4ee5\u7528\u4e8e\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\u3002\u901a\u8fc7\u5b9a\u4e49\u8d77\u59cb\u503c\u3001\u7ec8\u6b62\u503c\u548c\u6b65\u957f\uff0c\u53ef\u4ee5\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">start = 0  # \u8d77\u59cb\u503c<\/p>\n<p>end = 10  # \u7ec8\u6b62\u503c<\/p>\n<p>step = 2.5  # \u6b65\u957f<\/p>\n<h2><strong>\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807<\/strong><\/h2>\n<p>coordinates = [start + i * step for i in range(int((end - start) \/ step) + 1)]<\/p>\n<p>print(coordinates)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ee3\u7801\u5c06\u751f\u6210\u4ece0\u523010\u7684\u6b65\u957f\u4e3a2.5\u7684\u7b49\u95f4\u9694\u5750\u6807\uff1a[0.0, 2.5, 5.0, 7.5, 10.0]\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u4f7f\u7528Matplotlib\u751f\u6210\u7b49\u95f4\u9694\u5750\u6807<\/h3>\n<\/p>\n<p><p>Matplotlib\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u63d0\u4f9b\u4e86\u591a\u79cd\u751f\u6210\u7b49\u95f4\u9694\u5750\u6807\u7684\u65b9\u6cd5\u3002\u5728\u7ed8\u56fe\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7684linspace\u51fd\u6570\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\uff0c\u5e76\u5c06\u5176\u7528\u4e8e\u7ed8\u56fe\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528Matplotlib\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\u5e76\u7ed8\u5236\u56fe\u5f62\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>import matplotlib.pyplot as plt<\/p>\n<p>start = 0  # \u8d77\u59cb\u503c<\/p>\n<p>end = 10  # \u7ec8\u6b62\u503c<\/p>\n<p>num_points = 5  # \u751f\u6210\u7684\u7b49\u95f4\u9694\u6570<\/p>\n<h2><strong>\u4f7f\u7528linspace\u51fd\u6570\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807<\/strong><\/h2>\n<p>coordinates = np.linspace(start, end, num_points)<\/p>\n<h2><strong>\u7ed8\u5236\u56fe\u5f62<\/strong><\/h2>\n<p>plt.plot(coordinates, coordinates, &#39;o-&#39;)<\/p>\n<p>plt.xlabel(&#39;X&#39;)<\/p>\n<p>plt.ylabel(&#39;Y&#39;)<\/p>\n<p>plt.title(&#39;\u7b49\u95f4\u9694\u5750\u6807&#39;)<\/p>\n<p>plt.grid(True)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ee3\u7801\u5c06\u751f\u6210\u4ece0\u523010\u76845\u4e2a\u7b49\u95f4\u9694\u7684\u5750\u6807\uff0c\u5e76\u7ed8\u5236\u4e00\u6761\u6298\u7ebf\u56fe\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u4f7f\u7528Pandas\u751f\u6210\u7b49\u95f4\u9694\u5750\u6807<\/h3>\n<\/p>\n<p><p>Pandas\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u6570\u636e\u5206\u6790\u5e93\u4e4b\u4e00\uff0c\u4e5f\u63d0\u4f9b\u4e86\u751f\u6210\u7b49\u95f4\u9694\u5750\u6807\u7684\u65b9\u6cd5\u3002\u901a\u8fc7\u4f7f\u7528Pandas\u7684date_range\u51fd\u6570\uff0c\u53ef\u4ee5\u751f\u6210\u7b49\u95f4\u9694\u7684\u65e5\u671f\u65f6\u95f4\u5e8f\u5217\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528date_range\u51fd\u6570\u751f\u6210\u7b49\u95f4\u9694\u7684\u65e5\u671f\u65f6\u95f4\u5e8f\u5217\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p>start = &#39;2023-01-01&#39;  # \u8d77\u59cb\u65e5\u671f<\/p>\n<p>end = &#39;2023-01-10&#39;  # \u7ec8\u6b62\u65e5\u671f<\/p>\n<p>freq = &#39;D&#39;  # \u9891\u7387\uff08\u6bcf\u5929\uff09<\/p>\n<h2><strong>\u4f7f\u7528date_range\u51fd\u6570\u751f\u6210\u7b49\u95f4\u9694\u7684\u65e5\u671f\u65f6\u95f4\u5e8f\u5217<\/strong><\/h2>\n<p>date_range = pd.date_range(start=start, end=end, freq=freq)<\/p>\n<p>print(date_range)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ee3\u7801\u5c06\u751f\u6210\u4ece2023\u5e741\u67081\u65e5\u52302023\u5e741\u670810\u65e5\u7684\u7b49\u95f4\u9694\u65e5\u671f\u65f6\u95f4\u5e8f\u5217\u3002<\/p>\n<\/p>\n<p><h3>\u516d\u3001\u4f7f\u7528SciPy\u751f\u6210\u7b49\u95f4\u9694\u5750\u6807<\/h3>\n<\/p>\n<p><p>SciPy\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u63d0\u4f9b\u4e86\u591a\u79cd\u751f\u6210\u7b49\u95f4\u9694\u5750\u6807\u7684\u65b9\u6cd5\u3002\u901a\u8fc7\u4f7f\u7528SciPy\u7684interpolate\u6a21\u5757\uff0c\u53ef\u4ee5\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528interpolate\u6a21\u5757\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>from scipy import interpolate<\/p>\n<p>start = 0  # \u8d77\u59cb\u503c<\/p>\n<p>end = 10  # \u7ec8\u6b62\u503c<\/p>\n<p>num_points = 5  # \u751f\u6210\u7684\u7b49\u95f4\u9694\u6570<\/p>\n<h2><strong>\u4f7f\u7528linspace\u51fd\u6570\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807<\/strong><\/h2>\n<p>x = np.linspace(start, end, num_points)<\/p>\n<p>y = np.sin(x)<\/p>\n<h2><strong>\u4f7f\u7528interpolate\u6a21\u5757\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807<\/strong><\/h2>\n<p>f = interpolate.interp1d(x, y)<\/p>\n<p>x_new = np.linspace(start, end, num_points * 10)<\/p>\n<p>y_new = f(x_new)<\/p>\n<p>print(x_new)<\/p>\n<p>print(y_new)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ee3\u7801\u5c06\u751f\u6210\u4ece0\u523010\u76845\u4e2a\u7b49\u95f4\u9694\u7684\u5750\u6807\uff0c\u5e76\u4f7f\u7528\u63d2\u503c\u751f\u6210\u66f4\u591a\u7684\u7b49\u95f4\u9694\u5750\u6807\u3002<\/p>\n<\/p>\n<p><h3>\u4e03\u3001\u4f7f\u7528SymPy\u751f\u6210\u7b49\u95f4\u9694\u5750\u6807<\/h3>\n<\/p>\n<p><p>SymPy\u662fPython\u4e2d\u4e00\u4e2a\u7b26\u53f7\u8ba1\u7b97\u5e93\uff0c\u4e5f\u63d0\u4f9b\u4e86\u751f\u6210\u7b49\u95f4\u9694\u5750\u6807\u7684\u65b9\u6cd5\u3002\u901a\u8fc7\u4f7f\u7528SymPy\u7684linsolve\u51fd\u6570\uff0c\u53ef\u4ee5\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528linsolve\u51fd\u6570\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import sympy as sp<\/p>\n<p>start = 0  # \u8d77\u59cb\u503c<\/p>\n<p>end = 10  # \u7ec8\u6b62\u503c<\/p>\n<p>num_points = 5  # \u751f\u6210\u7684\u7b49\u95f4\u9694\u6570<\/p>\n<h2><strong>\u4f7f\u7528linsolve\u51fd\u6570\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807<\/strong><\/h2>\n<p>x = sp.Symbol(&#39;x&#39;)<\/p>\n<p>expr = sp.Eq(x, sp.Rational(end - start, num_points - 1))<\/p>\n<p>solutions = sp.linsolve([expr], (x,))<\/p>\n<p>coordinates = [start + i * solutions.args[0][0] for i in range(num_points)]<\/p>\n<p>print(coordinates)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ee3\u7801\u5c06\u751f\u6210\u4ece0\u523010\u76845\u4e2a\u7b49\u95f4\u9694\u7684\u5750\u6807\u3002<\/p>\n<\/p>\n<p><h3>\u516b\u3001\u4f7f\u7528TensorFlow\u751f\u6210\u7b49\u95f4\u9694\u5750\u6807<\/h3>\n<\/p>\n<p><p>TensorFlow\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u5e93\uff0c\u4e5f\u63d0\u4f9b\u4e86\u751f\u6210\u7b49\u95f4\u9694\u5750\u6807\u7684\u65b9\u6cd5\u3002\u901a\u8fc7\u4f7f\u7528TensorFlow\u7684linspace\u51fd\u6570\uff0c\u53ef\u4ee5\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528linspace\u51fd\u6570\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import tensorflow as tf<\/p>\n<p>start = 0  # \u8d77\u59cb\u503c<\/p>\n<p>end = 10  # \u7ec8\u6b62\u503c<\/p>\n<p>num_points = 5  # \u751f\u6210\u7684\u7b49\u95f4\u9694\u6570<\/p>\n<h2><strong>\u4f7f\u7528linspace\u51fd\u6570\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807<\/strong><\/h2>\n<p>coordinates = tf.linspace(start, end, num_points)<\/p>\n<p>print(coordinates)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ee3\u7801\u5c06\u751f\u6210\u4ece0\u523010\u76845\u4e2a\u7b49\u95f4\u9694\u7684\u5750\u6807\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u4e0a\u8ff0\u51e0\u79cd\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5728Python\u4e2d\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u751f\u6210\u6240\u9700\u7684\u7b49\u95f4\u9694\u5750\u6807\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>numpy<\/code>\u5e93\u7684<code>linspace<\/code>\u6216<code>arange<\/code>\u51fd\u6570\u6765\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\u3002\u4f8b\u5982\uff0c<code>numpy.linspace(start, stop, num)<\/code>\u53ef\u4ee5\u5728\u6307\u5b9a\u7684\u8d77\u59cb\u548c\u7ed3\u675f\u503c\u4e4b\u95f4\u751f\u6210\u6307\u5b9a\u6570\u91cf\u7684\u7b49\u95f4\u9694\u5750\u6807\u3002<code>numpy.arange(start, stop, step)<\/code>\u5219\u5141\u8bb8\u60a8\u8bbe\u7f6e\u6b65\u957f\uff0c\u4ece\u800c\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\u70b9\u3002<\/p>\n<p><strong>Python\u4e2d\u751f\u6210\u7b49\u95f4\u9694\u5750\u6807\u9700\u8981\u5bfc\u5165\u54ea\u4e9b\u5e93\uff1f<\/strong><br \/>\u4e3a\u4e86\u751f\u6210\u7b49\u95f4\u9694\u7684\u5750\u6807\uff0c\u63a8\u8350\u4f7f\u7528<code>numpy<\/code>\u5e93\u3002\u60a8\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4<code>pip install numpy<\/code>\u6765\u5b89\u88c5\u6b64\u5e93\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u901a\u8fc7<code>import numpy as np<\/code>\u5bfc\u5165\u5e93\uff0c\u4fbf\u53ef\u4ee5\u5229\u7528<code>linspace<\/code>\u6216<code>arange<\/code>\u7b49\u51fd\u6570\u6765\u751f\u6210\u6240\u9700\u7684\u5750\u6807\u3002<\/p>\n<p><strong>\u5982\u4f55\u5c06\u751f\u6210\u7684\u7b49\u95f4\u9694\u5750\u6807\u53ef\u89c6\u5316\uff1f<\/strong><br \/>\u751f\u6210\u7684\u7b49\u95f4\u9694\u5750\u6807\u53ef\u4ee5\u901a\u8fc7<code>matplotlib<\/code>\u5e93\u8fdb\u884c\u53ef\u89c6\u5316\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528<code>plt.plot()<\/code>\u51fd\u6570\u5c06\u5750\u6807\u70b9\u7ed8\u5236\u5728\u56fe\u8868\u4e0a\uff0c\u5e76\u901a\u8fc7<code>plt.show()<\/code>\u5c55\u793a\u56fe\u5f62\u3002\u9996\u5148\uff0c\u786e\u4fdd\u60a8\u5df2\u7ecf\u5b89\u88c5\u4e86<code>matplotlib<\/code>\uff0c\u4f7f\u7528<code>pip install matplotlib<\/code>\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\u3002\u7136\u540e\uff0c\u5bfc\u5165<code>matplotlib.pyplot<\/code>\u5e76\u7ed8\u5236\u56fe\u5f62\u4ee5\u76f4\u89c2\u5c55\u793a\u751f\u6210\u7684\u5750\u6807\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u5199\u7b49\u95f4\u9694\u7684\u5750\u6807\u6709\u51e0\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528NumPy\u5e93\u7684linspace\u51fd\u6570\u3001\u4f7f\u7528range\u548carange [&hellip;]","protected":false},"author":3,"featured_media":1101293,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1101287"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1101287"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1101287\/revisions"}],"predecessor-version":[{"id":1101296,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1101287\/revisions\/1101296"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1101293"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1101287"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1101287"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1101287"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}