{"id":1074052,"date":"2025-01-08T11:31:10","date_gmt":"2025-01-08T03:31:10","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1074052.html"},"modified":"2025-01-08T11:31:12","modified_gmt":"2025-01-08T03:31:12","slug":"python%e4%b8%ad%e6%9f%b1%e7%8a%b6%e5%9b%be%e5%a6%82%e4%bd%95%e6%a0%87%e4%b8%8a%e6%95%b0%e5%80%bc-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1074052.html","title":{"rendered":"python\u4e2d\u67f1\u72b6\u56fe\u5982\u4f55\u6807\u4e0a\u6570\u503c"},"content":{"rendered":"

\"python\u4e2d\u67f1\u72b6\u56fe\u5982\u4f55\u6807\u4e0a\u6570\u503c\"<\/p>\n

\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u7ed8\u5236\u67f1\u72b6\u56fe\u5e76\u5728\u67f1\u72b6\u56fe\u4e0a\u6807\u6ce8\u6570\u503c\u3002<\/strong>\u4f60\u53ef\u4ee5\u901a\u8fc7\u8c03\u7528plt.bar()<\/code>\u51fd\u6570\u7ed8\u5236\u67f1\u72b6\u56fe\uff0c\u5e76\u4f7f\u7528plt.text()<\/code>\u51fd\u6570\u5728\u6bcf\u4e2a\u67f1\u5b50\u4e0a\u6dfb\u52a0\u6570\u503c\u6807\u6ce8\u3002\u4e0b\u9762\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5b9e\u73b0\u8fd9\u4e00\u70b9\uff0c\u5e76\u63d0\u4f9b\u4e00\u4e2a\u5b8c\u6574\u7684\u793a\u4f8b\u4ee3\u7801\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b89\u88c5\u548c\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/h3>\n<\/p>\n

\u5728\u7ed8\u5236\u67f1\u72b6\u56fe\u4e4b\u524d\uff0c\u4f60\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86Matplotlib\u5e93\u3002\u5982\u679c\u4f60\u8fd8\u6ca1\u6709\u5b89\u88c5\u5b83\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install matplotlib<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u5728\u4f60\u7684Python\u811a\u672c\u6216Jupyter Notebook\u4e2d\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u7ed8\u5236\u67f1\u72b6\u56fe<\/h3>\n<\/p>\n
\u9996\u5148\uff0c\u4f60\u9700\u8981\u51c6\u5907\u6570\u636e\u5e76\u7ed8\u5236\u67f1\u72b6\u56fe\u3002\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b\u6570\u636e\uff1a<\/p>\n<\/p>\n
categories = ['A', 'B', 'C', 'D', 'E']<\/p>\n
values = [23, 45, 56, 78, 89]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f60\u53ef\u4ee5\u4f7f\u7528plt.bar()<\/code>\u51fd\u6570\u6765\u7ed8\u5236\u67f1\u72b6\u56fe\uff1a<\/p>\n<\/p>\n
plt.figure(figsize=(10, 6))<\/p>\n
bars = plt.bar(categories, values, color='skyblue')<\/p>\n
plt.xlabel('Categories')<\/p>\n
plt.ylabel('Values')<\/p>\n
plt.title('Bar Chart with Value Labels')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u5728\u67f1\u72b6\u56fe\u4e0a\u6807\u6ce8\u6570\u503c<\/h3>\n<\/p>\n
\u4e3a\u4e86\u5728\u67f1\u72b6\u56fe\u4e0a\u6807\u6ce8\u6570\u503c\uff0c\u53ef\u4ee5\u4f7f\u7528plt.text()<\/code>\u51fd\u6570\u3002\u5728\u6bcf\u4e2a\u67f1\u5b50\u4e0a\u65b9\u6dfb\u52a0\u6570\u503c\u6807\u6ce8\u3002\u6211\u4eec\u53ef\u4ee5\u904d\u5386bars<\/code>\u5bf9\u8c61\uff0c\u5e76\u4f7f\u7528bar.get_height()<\/code>\u83b7\u53d6\u6bcf\u4e2a\u67f1\u5b50\u7684\u9ad8\u5ea6\uff0c\u7136\u540e\u5728\u9002\u5f53\u7684\u4f4d\u7f6e\u6dfb\u52a0\u6570\u503c\u6807\u6ce8\u3002<\/p>\n<\/p>\n
for bar in bars:<\/p>\n
    height = bar.get_height()<\/p>\n
    plt.text(bar.get_x() + bar.get_width() \/ 2.0, height, f'{height}', ha='center', va='bottom')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b8c\u6574\u7684\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u6570\u636e\u51c6\u5907<\/strong><\/h2>\n
categories = ['A', 'B', 'C', 'D', 'E']<\/p>\n
values = [23, 45, 56, 78, 89]<\/p>\n
\u7ed8\u5236\u67f1\u72b6\u56fe<\/strong><\/h2>\n
plt.figure(figsize=(10, 6))<\/p>\n
bars = plt.bar(categories, values, color='skyblue')<\/p>\n
plt.xlabel('Categories')<\/p>\n
plt.ylabel('Values')<\/p>\n
plt.title('Bar Chart with Value Labels')<\/p>\n
\u5728\u67f1\u72b6\u56fe\u4e0a\u6807\u6ce8\u6570\u503c<\/strong><\/h2>\n
for bar in bars:<\/p>\n
    height = bar.get_height()<\/p>\n
    plt.text(bar.get_x() + bar.get_width() \/ 2.0, height, f'{height}', ha='center', va='bottom')<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u8c03\u6574\u6807\u6ce8\u6837\u5f0f<\/h3>\n<\/p>\n
\u6709\u65f6\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u8c03\u6574\u6807\u6ce8\u7684\u6837\u5f0f\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u4e0e\u56fe\u8868\u5339\u914d\u3002\u4f8b\u5982\uff0c\u4f60\u53ef\u4ee5\u66f4\u6539\u5b57\u4f53\u5927\u5c0f\u3001\u989c\u8272\u3001\u65cb\u8f6c\u89d2\u5ea6\u7b49\u3002\u53ef\u4ee5\u5728plt.text()<\/code>\u51fd\u6570\u4e2d\u6dfb\u52a0\u5176\u4ed6\u53c2\u6570\uff1a<\/p>\n<\/p>\n
for bar in bars:<\/p>\n
    height = bar.get_height()<\/p>\n
    plt.text(bar.get_x() + bar.get_width() \/ 2.0, height, f'{height}', ha='center', va='bottom', fontsize=12, color='black', fontweight='bold')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u5904\u7406\u8d1f\u503c\u548c\u96f6\u503c<\/h3>\n<\/p>\n
\u5728\u5904\u7406\u8d1f\u503c\u548c\u96f6\u503c\u65f6\uff0c\u6dfb\u52a0\u6807\u6ce8\u7684\u4f4d\u7f6e\u53ef\u80fd\u9700\u8981\u8c03\u6574\u3002\u4f8b\u5982\uff0c\u5bf9\u4e8e\u8d1f\u503c\uff0c\u53ef\u4ee5\u5c06\u6807\u6ce8\u653e\u5728\u67f1\u5b50\u7684\u4e0b\u65b9\uff1a<\/p>\n<\/p>\n
for bar in bars:<\/p>\n
    height = bar.get_height()<\/p>\n
    if height < 0:<\/p>\n
        plt.text(bar.get_x() + bar.get_width() \/ 2.0, height, f'{height}', ha='center', va='top', fontsize=12, color='red', fontweight='bold')<\/p>\n
    else:<\/p>\n
        plt.text(bar.get_x() + bar.get_width() \/ 2.0, height, f'{height}', ha='center', va='bottom', fontsize=12, color='black', fontweight='bold')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u81ea\u5b9a\u4e49\u67f1\u72b6\u56fe\u7684\u6837\u5f0f<\/h3>\n<\/p>\n
\u4f60\u8fd8\u53ef\u4ee5\u8fdb\u4e00\u6b65\u81ea\u5b9a\u4e49\u67f1\u72b6\u56fe\u7684\u6837\u5f0f\uff0c\u4f7f\u5176\u66f4\u52a0\u7f8e\u89c2\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u66f4\u6539\u67f1\u5b50\u7684\u989c\u8272\u3001\u6dfb\u52a0\u7f51\u683c\u7ebf\u3001\u8c03\u6574\u56fe\u8868\u7684\u8fb9\u8ddd\u7b49\uff1a<\/p>\n<\/p>\n
plt.figure(figsize=(12, 8))<\/p>\n
bars = plt.bar(categories, values, color=['#FF6347', '#4682B4', '#FFD700', '#ADFF2F', '#FF69B4'])<\/p>\n
plt.xlabel('Categories', fontsize=14)<\/p>\n
plt.ylabel('Values', fontsize=14)<\/p>\n
plt.title('Customized Bar Chart with Value Labels', fontsize=16)<\/p>\n
plt.grid(True, linestyle='--', alpha=0.6)<\/p>\n
for bar in bars:<\/p>\n
    height = bar.get_height()<\/p>\n
    plt.text(bar.get_x() + bar.get_width() \/ 2.0, height, f'{height}', ha='center', va='bottom', fontsize=12, color='black', fontweight='bold')<\/p>\n
plt.tight_layout()<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u6b65\u9aa4\u548c\u793a\u4f8b\u4ee3\u7801\uff0c\u4f60\u5e94\u8be5\u80fd\u591f\u5728Python\u4e2d\u4f7f\u7528Matplotlib\u5e93\u7ed8\u5236\u67f1\u72b6\u56fe\u5e76\u5728\u67f1\u72b6\u56fe\u4e0a\u6807\u6ce8\u6570\u503c\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\uff0c\u4f60\u53ef\u4ee5\u8fdb\u4e00\u6b65\u8c03\u6574\u548c\u81ea\u5b9a\u4e49\u56fe\u8868\u7684\u6837\u5f0f\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528Matplotlib\u4e3a\u67f1\u72b6\u56fe\u6dfb\u52a0\u6570\u503c\u6807\u7b7e\uff1f<\/strong>
\u5728\u4f7f\u7528Matplotlib\u7ed8\u5236\u67f1\u72b6\u56fe\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7text()<\/code>\u51fd\u6570\u5728\u6bcf\u4e2a\u67f1\u5b50\u4e0a\u65b9\u6dfb\u52a0\u6570\u503c\u6807\u7b7e\u3002\u9996\u5148\uff0c\u7ed8\u5236\u67f1\u72b6\u56fe\u540e\uff0c\u904d\u5386\u6bcf\u4e2a\u67f1\u5b50\u7684\u9ad8\u5ea6\uff0c\u4f7f\u7528text()<\/code>\u51fd\u6570\u6307\u5b9a\u4f4d\u7f6e\u548c\u663e\u793a\u5185\u5bb9\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u5b9e\u73b0\uff1a<\/p>\n
import matplotlib.pyplot as plt\n\ndata = [3, 7, 5, 10]\nplt.bar(range(len(data)), data)\n\nfor i, v in enumerate(data):\n    plt.text(i, v + 0.2, str(v), ha='center')\n\nplt.show()\n<\/code><\/pre>\n
\u8fd9\u6837\uff0c\u6bcf\u4e2a\u67f1\u5b50\u4e0a\u65b9\u90fd\u4f1a\u663e\u793a\u5bf9\u5e94\u7684\u6570\u503c\u3002<\/p>\n
\u5728\u4f7f\u7528Seaborn\u7ed8\u5236\u7684\u67f1\u72b6\u56fe\u4e2d\u5982\u4f55\u6dfb\u52a0\u6570\u503c\u6807\u7b7e\uff1f<\/strong>
Seaborn\u662f\u6784\u5efa\u5728Matplotlib\u4e4b\u4e0a\u7684\u4e00\u4e2a\u53ef\u89c6\u5316\u5e93\uff0c\u60a8\u53ef\u4ee5\u540c\u6837\u4f7f\u7528text()<\/code>\u51fd\u6570\u6765\u6dfb\u52a0\u6807\u7b7e\u3002\u5728\u7ed8\u5236\u5b8cSeaborn\u7684\u67f1\u72b6\u56fe\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u7c7b\u4f3c\u7684\u65b9\u5f0f\u904d\u5386\u6570\u636e\u5e76\u6dfb\u52a0\u6570\u503c\u3002\u4f8b\u5982\uff1a<\/p>\n
import seaborn as sns\nimport matplotlib.pyplot as plt\n\ndata = [3, 7, 5, 10]\nsns.barplot(x=list(range(len(data))), y=data)\n\nfor i, v in enumerate(data):\n    plt.text(i, v + 0.2, str(v), ha='center')\n\nplt.show()\n<\/code><\/pre>\n
\u8fd9\u5c06\u4e3a\u6bcf\u4e2a\u67f1\u5b50\u6dfb\u52a0\u76f8\u5e94\u7684\u6570\u503c\u6807\u7b7e\u3002<\/p>\n
\u5982\u4f55\u81ea\u5b9a\u4e49\u67f1\u72b6\u56fe\u4e2d\u6570\u503c\u6807\u7b7e\u7684\u6837\u5f0f\uff1f<\/strong>
\u81ea\u5b9a\u4e49\u6570\u503c\u6807\u7b7e\u7684\u6837\u5f0f\u53ef\u4ee5\u901a\u8fc7text()<\/code>\u51fd\u6570\u7684\u53c2\u6570\u6765\u5b9e\u73b0\u3002\u60a8\u53ef\u4ee5\u8c03\u6574\u5b57\u4f53\u5927\u5c0f\u3001\u989c\u8272\u548c\u5bf9\u9f50\u65b9\u5f0f\u7b49\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n
for i, v in enumerate(data):\n    plt.text(i, v + 0.2, str(v), ha='center', fontsize=12, color='blue', fontweight='bold')\n<\/code><\/pre>\n
\u901a\u8fc7\u8fd9\u4e9b\u53c2\u6570\uff0c\u60a8\u53ef\u4ee5\u8ba9\u6570\u503c\u6807\u7b7e\u66f4\u5177\u5438\u5f15\u529b\u548c\u53ef\u8bfb\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u7ed8\u5236\u67f1\u72b6\u56fe\u5e76\u5728\u67f1\u72b6\u56fe\u4e0a\u6807\u6ce8\u6570\u503c\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u8c03\u7528plt.bar […]","protected":false},"author":3,"featured_media":1074060,"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\/1074052"}],"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=1074052"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1074052\/revisions"}],"predecessor-version":[{"id":1074062,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1074052\/revisions\/1074062"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1074060"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1074052"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1074052"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1074052"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}