{"id":1052294,"date":"2024-12-31T14:23:46","date_gmt":"2024-12-31T06:23:46","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1052294.html"},"modified":"2024-12-31T14:23:50","modified_gmt":"2024-12-31T06:23:50","slug":"python%e5%a6%82%e4%bd%95%e7%94%9f%e6%88%90%e6%a8%aa%e7%9a%84%e6%9f%b1%e7%8a%b6%e5%9b%be","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1052294.html","title":{"rendered":"python\u5982\u4f55\u751f\u6210\u6a2a\u7684\u67f1\u72b6\u56fe"},"content":{"rendered":"

\"python\u5982\u4f55\u751f\u6210\u6a2a\u7684\u67f1\u72b6\u56fe\"<\/p>\n

Python \u751f\u6210\u6a2a\u5411\u67f1\u72b6\u56fe\u7684\u65b9\u6cd5<\/strong>\u5305\u62ec\uff1a\u4f7f\u7528Matplotlib\u3001Seaborn\u3001Plotly\u7b49\u5e93\u8fdb\u884c\u7ed8\u56fe\u3002Matplotlib \u662f\u6700\u5e38\u7528\u7684\u5e93<\/strong>\uff0c\u56e0\u4e3a\u5b83\u529f\u80fd\u5f3a\u5927\u4e14\u6613\u4e8e\u4f7f\u7528\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u8bb2\u89e3\u5982\u4f55\u4f7f\u7528 Matplotlib \u751f\u6210\u6a2a\u5411\u67f1\u72b6\u56fe\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528 Matplotlib \u751f\u6210\u6a2a\u5411\u67f1\u72b6\u56fe<\/p>\n<\/p>\n

Matplotlib \u662f Python \u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u7528\u4e8e\u521b\u5efa\u5404\u79cd\u56fe\u8868\u3002\u751f\u6210\u6a2a\u5411\u67f1\u72b6\u56fe\u7684\u4e3b\u8981\u51fd\u6570\u662f barh()<\/code>\u3002\u4e0b\u9762\u662f\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n

1. \u5b89\u88c5 Matplotlib<\/h3>\n<\/p>\n

\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5 Matplotlib\u3002\u5982\u679c\u672a\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528 pip \u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install matplotlib<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u5bfc\u5165 Matplotlib<\/h3>\n<\/p>\n
\u5728 Python \u811a\u672c\u6216 Jupyter Notebook \u4e2d\u5bfc\u5165 Matplotlib \u5e93\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u51c6\u5907\u6570\u636e<\/h3>\n<\/p>\n
\u51c6\u5907\u597d\u8981\u7ed8\u5236\u7684\u6570\u636e\u3002\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u7ec4\u6570\u636e\u8868\u793a\u4e0d\u540c\u7c7b\u522b\u7684\u503c\uff1a<\/p>\n<\/p>\n
categories = ['A', 'B', 'C', 'D', 'E']<\/p>\n
values = [3, 7, 2, 5, 6]<\/p>\n
<\/code><\/pre>\n<\/p>\n
4. \u7ed8\u5236\u6a2a\u5411\u67f1\u72b6\u56fe<\/h3>\n<\/p>\n
\u4f7f\u7528 barh()<\/code> \u51fd\u6570\u7ed8\u5236\u6a2a\u5411\u67f1\u72b6\u56fe\u3002<\/p>\n<\/p>\n
plt.barh(categories, values)<\/p>\n
plt.xlabel('Values')<\/p>\n
plt.ylabel('Categories')<\/p>\n
plt.title('Horizontal Bar Chart Example')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0cbarh()<\/code> \u51fd\u6570\u751f\u6210\u4e00\u4e2a\u6a2a\u5411\u67f1\u72b6\u56fe\uff0cxlabel()<\/code> \u548c ylabel()<\/code> \u7528\u4e8e\u8bbe\u7f6e\u8f74\u6807\u7b7e\uff0ctitle()<\/code> \u7528\u4e8e\u8bbe\u7f6e\u56fe\u8868\u6807\u9898\uff0cshow()<\/code> \u7528\u4e8e\u663e\u793a\u56fe\u8868\u3002<\/p>\n<\/p>\n
5. \u81ea\u5b9a\u4e49\u56fe\u8868<\/h3>\n<\/p>\n
\u4f60\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u81ea\u5b9a\u4e49\u56fe\u8868\uff0c\u4f8b\u5982\u66f4\u6539\u989c\u8272\u3001\u6dfb\u52a0\u7f51\u683c\u7ebf\u3001\u663e\u793a\u6570\u503c\u6807\u7b7e\u7b49\u3002<\/p>\n<\/p>\n
\u66f4\u6539\u989c\u8272<\/h4>\n<\/p>\n
\u901a\u8fc7 color<\/code> \u53c2\u6570\u66f4\u6539\u67f1\u5b50\u7684\u989c\u8272\u3002<\/p>\n<\/p>\n
plt.barh(categories, values, color='skyblue')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6dfb\u52a0\u7f51\u683c\u7ebf<\/h4>\n<\/p>\n
\u4f7f\u7528 grid()<\/code> \u51fd\u6570\u6dfb\u52a0\u7f51\u683c\u7ebf\u3002<\/p>\n<\/p>\n
plt.barh(categories, values, color='skyblue')<\/p>\n
plt.grid(True)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u663e\u793a\u6570\u503c\u6807\u7b7e<\/h4>\n<\/p>\n
\u663e\u793a\u6bcf\u4e2a\u67f1\u5b50\u65c1\u8fb9\u7684\u6570\u503c\u6807\u7b7e\u3002<\/p>\n<\/p>\n
plt.barh(categories, values, color='skyblue')<\/p>\n
for index, value in enumerate(values):<\/p>\n
    plt.text(value, index, str(value))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528 Seaborn \u751f\u6210\u6a2a\u5411\u67f1\u72b6\u56fe<\/p>\n<\/p>\n
Seaborn \u662f\u57fa\u4e8e Matplotlib \u4e4b\u4e0a\u7684\u9ad8\u7ea7\u7ed8\u56fe\u5e93\uff0c\u63d0\u4f9b\u4e86\u66f4\u7f8e\u89c2\u548c\u7b80\u6d01\u7684\u7ed8\u56fe API\u3002<\/p>\n<\/p>\n
1. \u5b89\u88c5 Seaborn<\/h3>\n<\/p>\n
\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5 Seaborn\u3002\u5982\u679c\u672a\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528 pip \u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install seaborn<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u5bfc\u5165 Seaborn<\/h3>\n<\/p>\n
\u5728 Python \u811a\u672c\u6216 Jupyter Notebook \u4e2d\u5bfc\u5165 Seaborn \u5e93\u3002<\/p>\n<\/p>\n
import seaborn as sns<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u51c6\u5907\u6570\u636e<\/h3>\n<\/p>\n
\u4f7f\u7528\u4e0e Matplotlib \u76f8\u540c\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
categories = ['A', 'B', 'C', 'D', 'E']<\/p>\n
values = [3, 7, 2, 5, 6]<\/p>\n
<\/code><\/pre>\n<\/p>\n
4. \u7ed8\u5236\u6a2a\u5411\u67f1\u72b6\u56fe<\/h3>\n<\/p>\n
\u4f7f\u7528 barplot()<\/code> \u51fd\u6570\uff0c\u5e76\u5c06 orient<\/code> \u53c2\u6570\u8bbe\u7f6e\u4e3a 'h'<\/code>\u3002<\/p>\n<\/p>\n
sns.barplot(x=values, y=categories, orient='h')<\/p>\n
plt.xlabel('Values')<\/p>\n
plt.ylabel('Categories')<\/p>\n
plt.title('Horizontal Bar Chart Example using Seaborn')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
5. \u81ea\u5b9a\u4e49\u56fe\u8868<\/h3>\n<\/p>\n
\u4f60\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u81ea\u5b9a\u4e49 Seaborn \u56fe\u8868\uff0c\u4f8b\u5982\u66f4\u6539\u914d\u8272\u65b9\u6848\u3001\u6dfb\u52a0\u7f51\u683c\u7ebf\u7b49\u3002<\/p>\n<\/p>\n
\u66f4\u6539\u914d\u8272\u65b9\u6848<\/h4>\n<\/p>\n
\u901a\u8fc7 palette<\/code> \u53c2\u6570\u66f4\u6539\u914d\u8272\u65b9\u6848\u3002<\/p>\n<\/p>\n
sns.barplot(x=values, y=categories, orient='h', palette='viridis')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6dfb\u52a0\u7f51\u683c\u7ebf<\/h4>\n<\/p>\n
\u4f7f\u7528 grid()<\/code> \u51fd\u6570\u6dfb\u52a0\u7f51\u683c\u7ebf\u3002<\/p>\n<\/p>\n
sns.barplot(x=values, y=categories, orient='h', palette='viridis')<\/p>\n
plt.grid(True)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528 Plotly \u751f\u6210\u6a2a\u5411\u67f1\u72b6\u56fe<\/p>\n<\/p>\n
Plotly \u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u8868\u7684\u5e93\uff0c\u9002\u7528\u4e8e Web \u5e94\u7528\u7a0b\u5e8f\u3002<\/p>\n<\/p>\n
1. \u5b89\u88c5 Plotly<\/h3>\n<\/p>\n
\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5 Plotly\u3002\u5982\u679c\u672a\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528 pip \u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install plotly<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u5bfc\u5165 Plotly<\/h3>\n<\/p>\n
\u5728 Python \u811a\u672c\u6216 Jupyter Notebook \u4e2d\u5bfc\u5165 Plotly \u5e93\u3002<\/p>\n<\/p>\n
import plotly.graph_objects as go<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u51c6\u5907\u6570\u636e<\/h3>\n<\/p>\n
\u4f7f\u7528\u4e0e Matplotlib \u76f8\u540c\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
categories = ['A', 'B', 'C', 'D', 'E']<\/p>\n
values = [3, 7, 2, 5, 6]<\/p>\n
<\/code><\/pre>\n<\/p>\n
4. \u7ed8\u5236\u6a2a\u5411\u67f1\u72b6\u56fe<\/h3>\n<\/p>\n
\u4f7f\u7528 Bar<\/code> \u51fd\u6570\u521b\u5efa\u4e00\u4e2a\u6a2a\u5411\u67f1\u72b6\u56fe\u3002<\/p>\n<\/p>\n
fig = go.Figure(go.Bar(<\/p>\n
    x=values,<\/p>\n
    y=categories,<\/p>\n
    orientation='h'<\/p>\n
))<\/p>\n
fig.update_layout(<\/p>\n
    title='Horizontal Bar Chart Example using Plotly',<\/p>\n
    xaxis_title='Values',<\/p>\n
    yaxis_title='Categories'<\/p>\n
)<\/p>\n
fig.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
5. \u81ea\u5b9a\u4e49\u56fe\u8868<\/h3>\n<\/p>\n
\u4f60\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u81ea\u5b9a\u4e49 Plotly \u56fe\u8868\uff0c\u4f8b\u5982\u66f4\u6539\u989c\u8272\u3001\u6dfb\u52a0\u7f51\u683c\u7ebf\u3001\u663e\u793a\u6570\u503c\u6807\u7b7e\u7b49\u3002<\/p>\n<\/p>\n
\u66f4\u6539\u989c\u8272<\/h4>\n<\/p>\n
\u901a\u8fc7 marker<\/code> \u53c2\u6570\u66f4\u6539\u67f1\u5b50\u7684\u989c\u8272\u3002<\/p>\n<\/p>\n
fig = go.Figure(go.Bar(<\/p>\n
    x=values,<\/p>\n
    y=categories,<\/p>\n
    orientation='h',<\/p>\n
    marker=dict(color='skyblue')<\/p>\n
))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6dfb\u52a0\u7f51\u683c\u7ebf<\/h4>\n<\/p>\n
\u4f7f\u7528 update_xaxes<\/code> \u548c update_yaxes<\/code> \u51fd\u6570\u6dfb\u52a0\u7f51\u683c\u7ebf\u3002<\/p>\n<\/p>\n
fig = go.Figure(go.Bar(<\/p>\n
    x=values,<\/p>\n
    y=categories,<\/p>\n
    orientation='h',<\/p>\n
    marker=dict(color='skyblue')<\/p>\n
))<\/p>\n
fig.update_layout(<\/p>\n
    title='Horizontal Bar Chart Example using Plotly',<\/p>\n
    xaxis_title='Values',<\/p>\n
    yaxis_title='Categories'<\/p>\n
)<\/p>\n
fig.update_xaxes(showgrid=True)<\/p>\n
fig.update_yaxes(showgrid=True)<\/p>\n
fig.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u603b\u7ed3<\/p>\n<\/p>\n
\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528 Matplotlib\u3001Seaborn \u548c Plotly \u751f\u6210\u6a2a\u5411\u67f1\u72b6\u56fe\u3002Matplotlib \u662f\u6700\u5e38\u7528\u7684\u5e93<\/strong>\uff0c\u56e0\u4e3a\u5b83\u529f\u80fd\u5f3a\u5927\u4e14\u6613\u4e8e\u4f7f\u7528\uff1bSeaborn \u63d0\u4f9b\u4e86\u66f4\u7f8e\u89c2\u548c\u7b80\u6d01\u7684\u7ed8\u56fe API<\/strong>\uff1bPlotly \u9002\u7528\u4e8e\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u8868<\/strong>\u3002\u4f60\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\uff0c\u5e76\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u81ea\u5b9a\u4e49\u56fe\u8868\uff0c\u4f8b\u5982\u66f4\u6539\u989c\u8272\u3001\u6dfb\u52a0\u7f51\u683c\u7ebf\u3001\u663e\u793a\u6570\u503c\u6807\u7b7e\u7b49\u3002\u5e0c\u671b\u672c\u6587\u80fd\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u4f7f\u7528 Python \u751f\u6210\u6a2a\u5411\u67f1\u72b6\u56fe\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u9009\u62e9\u5408\u9002\u7684\u5e93\u6765\u751f\u6210\u6a2a\u5411\u67f1\u72b6\u56fe\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u5e38\u7528\u7684\u5e93\u6709Matplotlib\u3001Seaborn\u548cPandas\u7b49\u3002Matplotlib\u662f\u6700\u57fa\u7840\u7684\u5e93\uff0c\u9002\u5408\u521d\u5b66\u8005\u3002Seaborn\u5efa\u7acb\u5728Matplotlib\u4e4b\u4e0a\uff0c\u63d0\u4f9b\u66f4\u7f8e\u89c2\u7684\u9ed8\u8ba4\u6837\u5f0f\uff0c\u9002\u5408\u9700\u8981\u66f4\u590d\u6742\u53ef\u89c6\u5316\u7684\u7528\u6237\u3002Pandas\u5219\u9002\u5408\u6570\u636e\u5904\u7406\u548c\u7b80\u5355\u53ef\u89c6\u5316\u3002\u5982\u679c\u4f60\u5e0c\u671b\u5feb\u901f\u751f\u6210\u6a2a\u5411\u67f1\u72b6\u56fe\uff0c\u53ef\u4ee5\u9009\u62e9Matplotlib\u6216Seaborn\u3002<\/p>\n
\u751f\u6210\u6a2a\u5411\u67f1\u72b6\u56fe\u65f6\uff0c\u5982\u4f55\u8bbe\u7f6e\u8f74\u6807\u7b7e\u548c\u6807\u9898\uff1f<\/strong>
\u5728\u4f7f\u7528Matplotlib\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528plt.xlabel()<\/code>\u548cplt.ylabel()<\/code>\u6765\u8bbe\u7f6e\u6a2a\u7eb5\u8f74\u7684\u6807\u7b7e\uff0c\u800cplt.title()<\/code>\u7528\u4e8e\u6dfb\u52a0\u56fe\u8868\u6807\u9898\u3002\u786e\u4fdd\u6807\u7b7e\u548c\u6807\u9898\u7b80\u6d01\u660e\u4e86\uff0c\u4ee5\u4fbf\u89c2\u4f17\u5feb\u901f\u7406\u89e3\u56fe\u8868\u6240\u4f20\u8fbe\u7684\u4fe1\u606f\u3002<\/p>\n
\u5982\u4f55\u8c03\u6574\u6a2a\u5411\u67f1\u72b6\u56fe\u7684\u989c\u8272\u548c\u6837\u5f0f\u4ee5\u63d0\u5347\u53ef\u8bfb\u6027\uff1f<\/strong>
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