{"id":1053250,"date":"2024-12-31T14:32:18","date_gmt":"2024-12-31T06:32:18","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1053250.html"},"modified":"2024-12-31T14:32:21","modified_gmt":"2024-12-31T06:32:21","slug":"python%e4%b8%ad%e7%9a%84plt%e5%a6%82%e4%bd%95%e7%94%bb%e5%87%ba%e8%b4%9f%e8%bd%b4","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1053250.html","title":{"rendered":"python\u4e2d\u7684plt\u5982\u4f55\u753b\u51fa\u8d1f\u8f74"},"content":{"rendered":"

\"python\u4e2d\u7684plt\u5982\u4f55\u753b\u51fa\u8d1f\u8f74\"<\/p>\n

\u5728Python\u4e2d\uff0c\u4f7f\u7528Matplotlib\u5e93\u53ef\u4ee5\u8f7b\u677e\u7ed8\u5236\u56fe\u5f62\uff0c\u5305\u62ec\u663e\u793a\u8d1f\u8f74\u3002\u8981\u5728Matplotlib\u4e2d\u7ed8\u5236\u8d1f\u8f74\u5e76\u4f7f\u5176\u53ef\u89c1\uff0c\u53ef\u4ee5\u4f7f\u7528plt.axhline<\/code>\u548cplt.axvline<\/code>\u51fd\u6570\u6765\u6dfb\u52a0\u6c34\u5e73\u548c\u5782\u76f4\u7ebf\uff0c\u6216\u4f7f\u7528plt.xlim<\/code>\u548cplt.ylim<\/code>\u51fd\u6570\u6765\u8bbe\u7f6e\u56fe\u5f62\u7684x\u8f74\u548cy\u8f74\u8303\u56f4\u3002<\/strong>\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5728Python\u7684Matplotlib\u4e2d\u7ed8\u5236\u8d1f\u8f74\uff0c\u5e76\u63d0\u4f9b\u4e00\u4e9b\u793a\u4f8b\u4ee3\u7801\u548c\u6280\u5de7\u3002<\/p>\n<\/p>\n

\u4e00\u3001Matplotlib\u7b80\u4ecb<\/h3>\n<\/p>\n

Matplotlib\u662fPython\u4e2d\u6700\u53d7\u6b22\u8fce\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\u4e4b\u4e00\u3002\u5b83\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u7ed8\u56fe\u51fd\u6570\uff0c\u5141\u8bb8\u7528\u6237\u521b\u5efa\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\u548c\u56fe\u5f62\u3002Matplotlib\u7684\u57fa\u7840\u662fpyplot<\/code>\u6a21\u5757\uff0c\u5b83\u63d0\u4f9b\u4e86\u7c7b\u4f3c\u4e8eMATLAB\u7684\u7ed8\u56fe\u63a5\u53e3\uff0c\u4f7f\u7ed8\u56fe\u53d8\u5f97\u975e\u5e38\u76f4\u89c2\u548c\u7b80\u5355\u3002<\/p>\n<\/p>\n

\u4e8c\u3001\u7ed8\u5236\u8d1f\u8f74\u7684\u57fa\u672c\u65b9\u6cd5<\/h3>\n<\/p>\n

\u5728\u7ed8\u5236\u56fe\u5f62\u65f6\uff0c\u9ed8\u8ba4\u60c5\u51b5\u4e0bMatplotlib\u4f1a\u81ea\u52a8\u786e\u5b9a\u8f74\u7684\u8303\u56f4\u3002\u5982\u679c\u6570\u636e\u5305\u542b\u8d1f\u503c\uff0cMatplotlib\u4f1a\u81ea\u52a8\u7ed8\u5236\u8d1f\u8f74\u3002\u7136\u800c\uff0c\u6709\u65f6\u4e3a\u4e86\u66f4\u6e05\u6670\u5730\u8868\u793a\u6570\u636e\u6216\u589e\u5f3a\u56fe\u5f62\u7684\u53ef\u8bfb\u6027\uff0c\u6211\u4eec\u9700\u8981\u624b\u52a8\u8bbe\u7f6e\u8f74\u7684\u8303\u56f4\u6216\u6dfb\u52a0\u660e\u786e\u7684\u8f74\u7ebf\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5b9e\u73b0\u8fd9\u4e9b\u64cd\u4f5c\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

1\u3001\u4f7f\u7528plt.axhline<\/code>\u548cplt.axvline<\/code>\u6dfb\u52a0\u8f74\u7ebf<\/h4>\n<\/p>\n

plt.axhline<\/code>\u7528\u4e8e\u5728\u56fe\u5f62\u4e2d\u6dfb\u52a0\u6c34\u5e73\u7ebf\uff0cplt.axvline<\/code>\u7528\u4e8e\u6dfb\u52a0\u5782\u76f4\u7ebf\u3002\u53ef\u4ee5\u4f7f\u7528\u8fd9\u4e9b\u51fd\u6570\u5728\u56fe\u5f62\u4e2d\u6dfb\u52a0\u660e\u786e\u7684x\u8f74\u548cy\u8f74\u3002<\/p>\n<\/p>\n

import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [-10, -5, 0, 5, 10]<\/p>\n
y = [-100, -50, 0, 50, 100]<\/p>\n
plt.plot(x, y, marker='o')<\/p>\n
\u6dfb\u52a0\u6c34\u5e73\u548c\u5782\u76f4\u7ebf<\/strong><\/h2>\n
plt.axhline(0, color='black', linewidth=0.5)<\/p>\n
plt.axvline(0, color='black', linewidth=0.5)<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
plt.title('Plot with Negative Axes')<\/p>\n
plt.grid(True)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528plt.xlim<\/code>\u548cplt.ylim<\/code>\u8bbe\u7f6e\u8f74\u7684\u8303\u56f4<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528plt.xlim<\/code>\u548cplt.ylim<\/code>\u51fd\u6570\u624b\u52a8\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u8303\u56f4\uff0c\u4ee5\u786e\u4fdd\u5305\u542b\u8d1f\u503c\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [-10, -5, 0, 5, 10]<\/p>\n
y = [-100, -50, 0, 50, 100]<\/p>\n
plt.plot(x, y, marker='o')<\/p>\n
\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u8303\u56f4<\/strong><\/h2>\n
plt.xlim(-15, 15)<\/p>\n
plt.ylim(-150, 150)<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
plt.title('Plot with Negative Axes')<\/p>\n
plt.grid(True)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u7ed8\u5236\u8d1f\u8f74\u7684\u9ad8\u7ea7\u6280\u5de7<\/h3>\n<\/p>\n
\u9664\u4e86\u57fa\u672c\u7684\u65b9\u6cd5\u4e4b\u5916\uff0c\u8fd8\u6709\u4e00\u4e9b\u9ad8\u7ea7\u6280\u5de7\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u63a7\u5236\u56fe\u5f62\u7684\u663e\u793a\u548c\u7f8e\u89c2\u6027\u3002<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528plt.gca<\/code>\u83b7\u53d6\u5f53\u524d\u8f74\u5bf9\u8c61\u5e76\u8bbe\u7f6e\u5c5e\u6027<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528plt.gca<\/code>\u51fd\u6570\u83b7\u53d6\u5f53\u524d\u7684\u8f74\u5bf9\u8c61\uff0c\u5e76\u4f7f\u7528\u8be5\u5bf9\u8c61\u7684\u65b9\u6cd5\u548c\u5c5e\u6027\u8fdb\u884c\u66f4\u8be6\u7ec6\u7684\u63a7\u5236\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u8bbe\u7f6e\u7f51\u683c\u6837\u5f0f\u3001\u8f74\u6807\u7b7e\u7684\u4f4d\u7f6e\u7b49\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [-10, -5, 0, 5, 10]<\/p>\n
y = [-100, -50, 0, 50, 100]<\/p>\n
plt.plot(x, y, marker='o')<\/p>\n
\u83b7\u53d6\u5f53\u524d\u8f74\u5bf9\u8c61<\/strong><\/h2>\n
ax = plt.gca()<\/p>\n
\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u8303\u56f4<\/strong><\/h2>\n
ax.set_xlim(-15, 15)<\/p>\n
ax.set_ylim(-150, 150)<\/p>\n
\u6dfb\u52a0\u6c34\u5e73\u548c\u5782\u76f4\u7ebf<\/strong><\/h2>\n
ax.axhline(0, color='black', linewidth=0.5)<\/p>\n
ax.axvline(0, color='black', linewidth=0.5)<\/p>\n
\u8bbe\u7f6e\u7f51\u683c\u6837\u5f0f<\/strong><\/h2>\n
ax.grid(True, linestyle='--', linewidth=0.5)<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
plt.title('Plot with Negative Axes')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528plt.subplots<\/code>\u521b\u5efa\u5b50\u56fe<\/h4>\n<\/p>\n
\u5728\u521b\u5efa\u590d\u6742\u56fe\u5f62\u65f6\uff0c\u53ef\u80fd\u9700\u8981\u5728\u540c\u4e00\u56fe\u5f62\u4e2d\u5305\u542b\u591a\u4e2a\u5b50\u56fe\u3002\u53ef\u4ee5\u4f7f\u7528plt.subplots<\/code>\u51fd\u6570\u521b\u5efa\u591a\u4e2a\u5b50\u56fe\uff0c\u5e76\u5206\u522b\u8bbe\u7f6e\u6bcf\u4e2a\u5b50\u56fe\u7684\u5c5e\u6027\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [-10, -5, 0, 5, 10]<\/p>\n
y1 = [-100, -50, 0, 50, 100]<\/p>\n
y2 = [100, 50, 0, -50, -100]<\/p>\n
fig, axs = plt.subplots(2, 1, figsize=(8, 10))<\/p>\n
\u7ed8\u5236\u7b2c\u4e00\u4e2a\u5b50\u56fe<\/strong><\/h2>\n
axs[0].plot(x, y1, marker='o')<\/p>\n
axs[0].axhline(0, color='black', linewidth=0.5)<\/p>\n
axs[0].axvline(0, color='black', linewidth=0.5)<\/p>\n
axs[0].set_xlim(-15, 15)<\/p>\n
axs[0].set_ylim(-150, 150)<\/p>\n
axs[0].grid(True)<\/p>\n
axs[0].set_title('Subplot 1')<\/p>\n
\u7ed8\u5236\u7b2c\u4e8c\u4e2a\u5b50\u56fe<\/strong><\/h2>\n
axs[1].plot(x, y2, marker='o')<\/p>\n
axs[1].axhline(0, color='black', linewidth=0.5)<\/p>\n
axs[1].axvline(0, color='black', linewidth=0.5)<\/p>\n
axs[1].set_xlim(-15, 15)<\/p>\n
axs[1].set_ylim(-150, 150)<\/p>\n
axs[1].grid(True)<\/p>\n
axs[1].set_title('Subplot 2')<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
fig.suptitle('Multiple Subplots with Negative Axes')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u793a\u4f8b<\/h3>\n<\/p>\n
\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u4ee5\u4e0b\u662f\u51e0\u4e2a\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u793a\u4f8b\uff0c\u5c55\u793a\u5982\u4f55\u4f7f\u7528Matplotlib\u7ed8\u5236\u5305\u542b\u8d1f\u8f74\u7684\u56fe\u5f62\u3002<\/p>\n<\/p>\n
1\u3001\u7ed8\u5236\u5e26\u6709\u8d1f\u503c\u7684\u65f6\u95f4\u5e8f\u5217\u6570\u636e<\/h4>\n<\/p>\n
\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u7ec4\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u5176\u4e2d\u5305\u542b\u8d1f\u503c\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7ed8\u5236\u8fd9\u4e9b\u6570\u636e\uff0c\u5e76\u786e\u4fdd\u8d1f\u8f74\u6e05\u6670\u53ef\u89c1\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efa\u793a\u4f8b\u65f6\u95f4\u5e8f\u5217\u6570\u636e<\/strong><\/h2>\n
dates = pd.date_range('20230101', periods=10)<\/p>\n
values = [-10, -5, 0, 5, -3, -8, 7, -2, 5, 10]<\/p>\n
plt.plot(dates, values, marker='o')<\/p>\n
\u6dfb\u52a0\u6c34\u5e73\u7ebf<\/strong><\/h2>\n
plt.axhline(0, color='black', linewidth=0.5)<\/p>\n
plt.xlabel('Date')<\/p>\n
plt.ylabel('Value')<\/p>\n
plt.title('Time Series with Negative Values')<\/p>\n
plt.grid(True)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u7ed8\u5236\u5e26\u6709\u8d1f\u503c\u7684\u6563\u70b9\u56fe<\/h4>\n<\/p>\n
\u5728\u7ed8\u5236\u6563\u70b9\u56fe\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c55\u793a\u5305\u542b\u8d1f\u503c\u7684\u6570\u636e\u70b9\u3002\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7ed8\u5236\u6563\u70b9\u56fe\uff0c\u5e76\u786e\u4fdd\u8d1f\u8f74\u6e05\u6670\u53ef\u89c1\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6563\u70b9\u56fe\u6570\u636e<\/strong><\/h2>\n
x = np.random.randn(100)<\/p>\n
y = np.random.randn(100)<\/p>\n
plt.scatter(x, y)<\/p>\n
\u6dfb\u52a0\u6c34\u5e73\u548c\u5782\u76f4\u7ebf<\/strong><\/h2>\n
plt.axhline(0, color='black', linewidth=0.5)<\/p>\n
plt.axvline(0, color='black', linewidth=0.5)<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
plt.title('Scatter Plot with Negative Values')<\/p>\n
plt.grid(True)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u5728Python\u4e2d\u4f7f\u7528Matplotlib\u7ed8\u5236\u56fe\u5f62\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5728\u56fe\u5f62\u4e2d\u663e\u793a\u8d1f\u8f74\uff0c\u5305\u62ec\u4f7f\u7528plt.axhline<\/code>\u548cplt.axvline<\/code>\u6dfb\u52a0\u8f74\u7ebf\uff0c\u4f7f\u7528plt.xlim<\/code>\u548cplt.ylim<\/code>\u8bbe\u7f6e\u8f74\u7684\u8303\u56f4<\/strong>\uff0c\u4ee5\u53ca\u4f7f\u7528plt.gca<\/code>\u83b7\u53d6\u5f53\u524d\u8f74\u5bf9\u8c61\u5e76\u8bbe\u7f6e\u5c5e\u6027\u7b49\u3002\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u786e\u4fdd\u56fe\u5f62\u4e2d\u7684\u8d1f\u503c\u6e05\u6670\u53ef\u89c1\uff0c\u5e76\u589e\u5f3a\u56fe\u5f62\u7684\u53ef\u8bfb\u6027\u548c\u7f8e\u89c2\u6027\u3002\u5e0c\u671b\u672c\u6587\u6240\u63d0\u4f9b\u7684\u793a\u4f8b\u4ee3\u7801\u548c\u6280\u5de7\u80fd\u591f\u5e2e\u52a9\u60a8\u66f4\u597d\u5730\u4f7f\u7528Matplotlib\u7ed8\u5236\u5305\u542b\u8d1f\u8f74\u7684\u56fe\u5f62\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5728\u4f7f\u7528plt\u7ed8\u5236\u56fe\u5f62\u65f6\uff0c\u5982\u4f55\u663e\u793a\u8d1f\u8f74\u7684\u523b\u5ea6\uff1f<\/strong>
\u5728\u4f7f\u7528Matplotlib\u5e93\u7684plt\u6a21\u5757\u8fdb\u884c\u7ed8\u56fe\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u5750\u6807\u8f74\u7684\u8303\u56f4\u6765\u663e\u793a\u8d1f\u8f74\u523b\u5ea6\u3002\u4f7f\u7528plt.xlim()<\/code>\u548cplt.ylim()<\/code>\u51fd\u6570\u53ef\u4ee5\u5b9a\u4e49x\u8f74\u548cy\u8f74\u7684\u663e\u793a\u8303\u56f4\u3002\u4f8b\u5982\uff0c\u4f7f\u7528plt.xlim(-10, 10)<\/code>\u548cplt.ylim(-5, 5)<\/code>\u5c06x\u8f74\u548cy\u8f74\u7684\u8303\u56f4\u8bbe\u7f6e\u4e3a\u5305\u542b\u8d1f\u503c\u7684\u533a\u95f4\u3002<\/p>\n
\u5982\u4f55\u5728Matplotlib\u4e2d\u8c03\u6574\u8d1f\u8f74\u7684\u6807\u7b7e\u683c\u5f0f\uff1f<\/strong>
\u5728Matplotlib\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7plt.gca().tick_params()<\/code>\u65b9\u6cd5\u6765\u8c03\u6574\u5750\u6807\u8f74\u7684\u6807\u7b7e\u683c\u5f0f\u3002\u53ef\u4ee5\u4f7f\u7528labelsize<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u6807\u7b7e\u7684\u5927\u5c0f\uff0clabelcolor<\/code>\u53c2\u6570\u6765\u6539\u53d8\u6807\u7b7e\u7684\u989c\u8272\uff0c\u786e\u4fdd\u8d1f\u8f74\u6807\u7b7e\u4e0e\u6b63\u8f74\u6807\u7b7e\u5728\u89c6\u89c9\u4e0a\u6709\u826f\u597d\u7684\u533a\u5206\u3002<\/p>\n
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