{"id":1067916,"date":"2024-12-31T16:38:41","date_gmt":"2024-12-31T08:38:41","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1067916.html"},"modified":"2024-12-31T16:38:43","modified_gmt":"2024-12-31T08:38:43","slug":"python%e7%bb%98%e5%9b%be%e5%a6%82%e4%bd%95%e8%ae%a9%e7%ba%b5%e5%9d%90%e6%a0%87%e6%98%be%e7%a4%ba%e5%ad%97%e7%ac%a6","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1067916.html","title":{"rendered":"python\u7ed8\u56fe\u5982\u4f55\u8ba9\u7eb5\u5750\u6807\u663e\u793a\u5b57\u7b26"},"content":{"rendered":"

\"python\u7ed8\u56fe\u5982\u4f55\u8ba9\u7eb5\u5750\u6807\u663e\u793a\u5b57\u7b26\"<\/p>\n

\u5728Python\u4e2d\u7ed8\u5236\u56fe\u8868\u65f6\uff0c\u5982\u679c\u5e0c\u671b\u7eb5\u5750\u6807\u663e\u793a\u5b57\u7b26\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u3002\u901a\u8fc7\u8bbe\u7f6e\u7eb5\u5750\u6807\u6807\u7b7e\u4e3a\u5b57\u7b26\u4e32<\/strong>\u3001\u5229\u7528\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e<\/strong>\u3001\u4f7f\u7528ax.set_yticklabels\u65b9\u6cd5<\/strong>\u7b49\uff0c\u53ef\u4ee5\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u5c55\u5f00\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u5177\u4f53\u6765\u8bf4\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u7eb5\u5750\u6807\u7684\u523b\u5ea6\u6807\u7b7e\u4e3a\u5b57\u7b26\u4e32\u6765\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807<\/strong>\u3002\u4e0b\u9762\u662f\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n

import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [1, 2, 3, 4, 5]<\/p>\n
\u521b\u5efa\u56fe\u8868<\/strong><\/h2>\n
fig, ax = plt.subplots()<\/p>\n
ax.plot(x, y)<\/p>\n
\u8bbe\u7f6e\u7eb5\u5750\u6807\u523b\u5ea6<\/strong><\/h2>\n
ax.set_yticks([1, 2, 3, 4, 5])<\/p>\n
\u8bbe\u7f6e\u7eb5\u5750\u6807\u6807\u7b7e\u4e3a\u5b57\u7b26<\/strong><\/h2>\n
ax.set_yticklabels(['A', 'B', 'C', 'D', 'E'])<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4ee5\u4e0a\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5728\u7ed8\u56fe\u4e2d\u5c06\u7eb5\u5750\u6807\u7684\u6570\u503c\u66ff\u6362\u4e3a\u5b57\u7b26\u6807\u7b7e\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u6df1\u5165\u63a2\u8ba8\u5982\u4f55\u81ea\u5b9a\u4e49\u7eb5\u5750\u6807\u6807\u7b7e\uff0c\u5e76\u4ecb\u7ecd\u66f4\u591a\u76f8\u5173\u7684\u6280\u5de7\u548c\u7ec6\u8282\u3002<\/p>\n<\/p>\n
\u4e00\u3001MATPLOTLIB\u7b80\u4ecb<\/h3>\n<\/p>\n
Matplotlib\u662f\u4e00\u4e2a\u5e7f\u6cdb\u4f7f\u7528\u7684Python 2D\u7ed8\u56fe\u5e93\uff0c\u5b83\u80fd\u751f\u6210\u5404\u79cd\u5f62\u5f0f\u7684\u56fe\u8868\uff0c\u5982\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u997c\u56fe\u7b49\u3002Matplotlib\u63d0\u4f9b\u4e86\u4e00\u4e2a\u975e\u5e38\u7075\u6d3b\u7684API\uff0c\u53ef\u4ee5\u8ba9\u7528\u6237\u81ea\u7531\u5730\u5b9a\u5236\u56fe\u8868\u7684\u5916\u89c2\u3002<\/p>\n<\/p>\n
1. \u5b89\u88c5Matplotlib<\/h4>\n<\/p>\n
\u5728\u5f00\u59cb\u4f7f\u7528Matplotlib\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u8be5\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install matplotlib<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u7ed8\u5236\u7b80\u5355\u56fe\u8868\u5e76\u8bbe\u7f6e\u7eb5\u5750\u6807\u6807\u7b7e<\/h3>\n<\/p>\n
\u7ed8\u5236\u56fe\u8868\u5e76\u8bbe\u7f6e\u7eb5\u5750\u6807\u6807\u7b7e\u662fMatplotlib\u7684\u57fa\u672c\u529f\u80fd\u4e4b\u4e00\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u8be6\u7ec6\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
1. \u521b\u5efa\u57fa\u672c\u56fe\u8868<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u57fa\u672c\u6570\u636e\u7684\u7b80\u5355\u6298\u7ebf\u56fe\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [1, 2, 3, 4, 5]<\/p>\n
\u521b\u5efa\u56fe\u8868<\/strong><\/h2>\n
fig, ax = plt.subplots()<\/p>\n
ax.plot(x, y)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u8bbe\u7f6e\u7eb5\u5750\u6807\u6807\u7b7e<\/h4>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u8bbe\u7f6e\u7eb5\u5750\u6807\u7684\u523b\u5ea6\u6807\u7b7e\u4e3a\u5b57\u7b26\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [1, 2, 3, 4, 5]<\/p>\n
\u521b\u5efa\u56fe\u8868<\/strong><\/h2>\n
fig, ax = plt.subplots()<\/p>\n
ax.plot(x, y)<\/p>\n
\u8bbe\u7f6e\u7eb5\u5750\u6807\u523b\u5ea6<\/strong><\/h2>\n
ax.set_yticks([1, 2, 3, 4, 5])<\/p>\n
\u8bbe\u7f6e\u7eb5\u5750\u6807\u6807\u7b7e\u4e3a\u5b57\u7b26<\/strong><\/h2>\n
ax.set_yticklabels(['A', 'B', 'C', 'D', 'E'])<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u4ee3\u7801\uff0c\u6211\u4eec\u6210\u529f\u5730\u5c06\u7eb5\u5750\u6807\u523b\u5ea6\u6807\u7b7e\u4ece\u6570\u5b57\u66ff\u6362\u4e3a\u5b57\u7b26\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u7eb5\u5750\u6807\u6807\u7b7e\u81ea\u5b9a\u4e49<\/h3>\n<\/p>\n
\u4e3a\u4e86\u4f7f\u56fe\u8868\u66f4\u52a0\u4e2a\u6027\u5316\u548c\u7b26\u5408\u5b9e\u9645\u9700\u8981\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u81ea\u5b9a\u4e49\u7eb5\u5750\u6807\u6807\u7b7e\u3002<\/p>\n<\/p>\n
1. \u4f7f\u7528\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e<\/h4>\n<\/p>\n
\u53ef\u4ee5\u6839\u636e\u5b9e\u9645\u9700\u6c42\u8bbe\u7f6e\u66f4\u52a0\u590d\u6742\u7684\u7eb5\u5750\u6807\u6807\u7b7e\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u957f\u5b57\u7b26\u4e32\u6216\u7b26\u53f7\u4f5c\u4e3a\u6807\u7b7e\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [1, 2, 3, 4, 5]<\/p>\n
\u521b\u5efa\u56fe\u8868<\/strong><\/h2>\n
fig, ax = plt.subplots()<\/p>\n
ax.plot(x, y)<\/p>\n
\u8bbe\u7f6e\u7eb5\u5750\u6807\u523b\u5ea6<\/strong><\/h2>\n
ax.set_yticks([1, 2, 3, 4, 5])<\/p>\n
\u8bbe\u7f6e\u7eb5\u5750\u6807\u6807\u7b7e\u4e3a\u81ea\u5b9a\u4e49\u5b57\u7b26<\/strong><\/h2>\n
ax.set_yticklabels(['One', 'Two', 'Three', 'Four', 'Five'])<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u52a8\u6001\u751f\u6210\u6807\u7b7e<\/h4>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u80fd\u9700\u8981\u6839\u636e\u52a8\u6001\u6570\u636e\u751f\u6210\u7eb5\u5750\u6807\u6807\u7b7e\u3002\u4f8b\u5982\uff0c\u6839\u636e\u6570\u636e\u7684\u503c\u751f\u6210\u6807\u7b7e\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [1, 2, 3, 4, 5]<\/p>\n
\u521b\u5efa\u56fe\u8868<\/strong><\/h2>\n
fig, ax = plt.subplots()<\/p>\n
ax.plot(x, y)<\/p>\n
\u8bbe\u7f6e\u7eb5\u5750\u6807\u523b\u5ea6<\/strong><\/h2>\n
ax.set_yticks([1, 2, 3, 4, 5])<\/p>\n
\u52a8\u6001\u751f\u6210\u7eb5\u5750\u6807\u6807\u7b7e<\/strong><\/h2>\n
labels = ['Label {}'.format(i) for i in y]<\/p>\n
ax.set_yticklabels(labels)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u8fdb\u4e00\u6b65\u4f18\u5316\u56fe\u8868\u663e\u793a<\/h3>\n<\/p>\n
\u9664\u4e86\u8bbe\u7f6e\u7eb5\u5750\u6807\u6807\u7b7e\uff0c\u8fd8\u53ef\u4ee5\u5bf9\u56fe\u8868\u8fdb\u884c\u5176\u4ed6\u65b9\u9762\u7684\u4f18\u5316\uff0c\u4f7f\u5176\u66f4\u52a0\u7f8e\u89c2\u548c\u5b9e\u7528\u3002<\/p>\n<\/p>\n
1. \u8bbe\u7f6e\u5b57\u4f53\u548c\u989c\u8272<\/h4>\n<\/p>\n
\u53ef\u4ee5\u901a\u8fc7\u53c2\u6570\u8bbe\u7f6e\u6807\u7b7e\u7684\u5b57\u4f53\u548c\u989c\u8272\uff0c\u4f7f\u5176\u66f4\u7b26\u5408\u4e2a\u4eba\u6216\u54c1\u724c\u7684\u98ce\u683c\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [1, 2, 3, 4, 5]<\/p>\n
\u521b\u5efa\u56fe\u8868<\/strong><\/h2>\n
fig, ax = plt.subplots()<\/p>\n
ax.plot(x, y)<\/p>\n
\u8bbe\u7f6e\u7eb5\u5750\u6807\u523b\u5ea6<\/strong><\/h2>\n
ax.set_yticks([1, 2, 3, 4, 5])<\/p>\n
\u8bbe\u7f6e\u7eb5\u5750\u6807\u6807\u7b7e\u4e3a\u81ea\u5b9a\u4e49\u5b57\u7b26<\/strong><\/h2>\n
ax.set_yticklabels(['A', 'B', 'C', 'D', 'E'], fontsize=12, color='red')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u8c03\u6574\u6807\u7b7e\u89d2\u5ea6<\/h4>\n<\/p>\n
\u5728\u4e00\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u80fd\u9700\u8981\u8c03\u6574\u6807\u7b7e\u7684\u89d2\u5ea6\uff0c\u4ee5\u907f\u514d\u6807\u7b7e\u4e4b\u95f4\u7684\u91cd\u53e0\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [1, 2, 3, 4, 5]<\/p>\n
\u521b\u5efa\u56fe\u8868<\/strong><\/h2>\n
fig, ax = plt.subplots()<\/p>\n
ax.plot(x, y)<\/p>\n
\u8bbe\u7f6e\u7eb5\u5750\u6807\u523b\u5ea6<\/strong><\/h2>\n
ax.set_yticks([1, 2, 3, 4, 5])<\/p>\n
\u8bbe\u7f6e\u7eb5\u5750\u6807\u6807\u7b7e\u4e3a\u81ea\u5b9a\u4e49\u5b57\u7b26<\/strong><\/h2>\n
ax.set_yticklabels(['A', 'B', 'C', 'D', 'E'], rotation=45)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u8fd9\u4e9b\u8bbe\u7f6e\uff0c\u53ef\u4ee5\u4f7f\u56fe\u8868\u66f4\u52a0\u7f8e\u89c2\u548c\u6613\u8bfb\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u5b9e\u6218\u6848\u4f8b<\/h3>\n<\/p>\n
\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\u5e94\u7528\u8fd9\u4e9b\u6280\u5de7\uff0c\u4e0b\u9762\u5c06\u901a\u8fc7\u4e00\u4e2a\u5177\u4f53\u7684\u6848\u4f8b\u6765\u5c55\u793a\u5982\u4f55\u8bbe\u7f6e\u7eb5\u5750\u6807\u6807\u7b7e\u4e3a\u5b57\u7b26\u3002<\/p>\n<\/p>\n
1. \u6848\u4f8b\u80cc\u666f<\/h4>\n<\/p>\n
\u5047\u8bbe\u6211\u4eec\u9700\u8981\u7ed8\u5236\u4e00\u4e2a\u5b66\u751f\u6210\u7ee9\u7684\u6298\u7ebf\u56fe\uff0c\u5176\u4e2d\u7eb5\u5750\u6807\u8868\u793a\u6210\u7ee9\u7b49\u7ea7\uff08A\u3001B\u3001C\u3001D\u3001E\uff09\u3002<\/p>\n<\/p>\n
2. \u6570\u636e\u51c6\u5907<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u51c6\u5907\u597d\u5b66\u751f\u6210\u7ee9\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
# \u5b66\u751f\u6210\u7ee9\u6570\u636e<\/p>\n
students = ['Alice', 'Bob', 'Charlie', 'David', 'Eva']<\/p>\n
grades = [90, 75, 85, 60, 95]<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u7ed8\u5236\u56fe\u8868\u5e76\u8bbe\u7f6e\u7eb5\u5750\u6807\u6807\u7b7e<\/h4>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u7ed8\u5236\u56fe\u8868\u5e76\u8bbe\u7f6e\u7eb5\u5750\u6807\u6807\u7b7e\u4e3a\u6210\u7ee9\u7b49\u7ea7\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u5b66\u751f\u6210\u7ee9\u6570\u636e<\/strong><\/h2>\n
students = ['Alice', 'Bob', 'Charlie', 'David', 'Eva']<\/p>\n
grades = [90, 75, 85, 60, 95]<\/p>\n
\u521b\u5efa\u56fe\u8868<\/strong><\/h2>\n
fig, ax = plt.subplots()<\/p>\n
ax.plot(students, grades)<\/p>\n
\u8bbe\u7f6e\u7eb5\u5750\u6807\u523b\u5ea6<\/strong><\/h2>\n
ax.set_yticks([60, 70, 80, 90, 100])<\/p>\n
\u8bbe\u7f6e\u7eb5\u5750\u6807\u6807\u7b7e\u4e3a\u6210\u7ee9\u7b49\u7ea7<\/strong><\/h2>\n
ax.set_yticklabels(['D', 'C', 'B', 'A', 'A+'])<\/p>\n
plt.xlabel('Students')<\/p>\n
plt.ylabel('Grades')<\/p>\n
plt.title('Student Grades')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u4ee3\u7801\uff0c\u6211\u4eec\u6210\u529f\u5730\u5c06\u7eb5\u5750\u6807\u6807\u7b7e\u8bbe\u7f6e\u4e3a\u6210\u7ee9\u7b49\u7ea7\uff0c\u4f7f\u56fe\u8868\u66f4\u52a0\u76f4\u89c2\u548c\u6613\u4e8e\u7406\u89e3\u3002<\/p>\n<\/p>\n
\u516d\u3001\u603b\u7ed3\u4e0e\u62d3\u5c55<\/h3>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u5185\u5bb9\uff0c\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5982\u4f55\u5728Python\u7ed8\u56fe\u4e2d\u8ba9\u7eb5\u5750\u6807\u663e\u793a\u5b57\u7b26\u3002\u603b\u7684\u6765\u8bf4\uff0c\u901a\u8fc7\u8bbe\u7f6e\u7eb5\u5750\u6807\u6807\u7b7e\u4e3a\u5b57\u7b26\u4e32\u3001\u5229\u7528\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u3001\u4f7f\u7528ax.set_yticklabels\u65b9\u6cd5\u7b49<\/strong>\uff0c\u53ef\u4ee5\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\u3002\u540c\u65f6\uff0c\u6211\u4eec\u8fd8\u4ecb\u7ecd\u4e86\u5982\u4f55\u8fdb\u4e00\u6b65\u4f18\u5316\u56fe\u8868\u663e\u793a\uff0c\u4f7f\u5176\u66f4\u52a0\u7f8e\u89c2\u548c\u5b9e\u7528\u3002<\/p>\n<\/p>\n
1. \u62d3\u5c55\u5e94\u7528<\/h4>\n<\/p>\n
\u9664\u4e86\u4e0a\u8ff0\u65b9\u6cd5\uff0cMatplotlib\u8fd8\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u81ea\u5b9a\u4e49\u9009\u9879\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528FuncFormatter<\/code>\u6765\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u7684\u683c\u5f0f\uff0c\u6216\u8005\u7ed3\u5408\u5176\u4ed6\u53ef\u89c6\u5316\u5e93\uff08\u5982Seaborn\u3001Plotly\uff09\u5b9e\u73b0\u66f4\u9ad8\u7ea7\u7684\u56fe\u8868\u5b9a\u5236\u3002<\/p>\n<\/p>\n
2. \u5b66\u4e60\u8d44\u6e90<\/h4>\n<\/p>\n
\u5982\u679c\u5e0c\u671b\u8fdb\u4e00\u6b65\u5b66\u4e60Matplotlib\u548c\u6570\u636e\u53ef\u89c6\u5316\uff0c\u53ef\u4ee5\u53c2\u8003\u4ee5\u4e0b\u8d44\u6e90\uff1a<\/p>\n<\/p>\n