{"id":1099023,"date":"2025-01-08T15:26:30","date_gmt":"2025-01-08T07:26:30","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1099023.html"},"modified":"2025-01-08T15:26:32","modified_gmt":"2025-01-08T07:26:32","slug":"python%e7%94%bb%e7%9a%84%e5%9b%be%e5%a6%82%e4%bd%95%e5%af%bc%e5%87%ba%e6%9d%a5-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1099023.html","title":{"rendered":"python\u753b\u7684\u56fe\u5982\u4f55\u5bfc\u51fa\u6765"},"content":{"rendered":"

\"python\u753b\u7684\u56fe\u5982\u4f55\u5bfc\u51fa\u6765\"<\/p>\n

\u4f7f\u7528Python\u7ed8\u56fe\u5e76\u5bfc\u51fa\u56fe\u50cf\u7684\u4e3b\u8981\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528Matplotlib\u3001\u4fdd\u5b58\u4e3a\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u50cf\u6587\u4ef6\u3001\u8bbe\u7f6e\u56fe\u50cf\u5206\u8fa8\u7387\u3001\u4fdd\u5b58\u4e3a\u77e2\u91cf\u56fe\u3001\u4fdd\u5b58\u4e3a\u4ea4\u4e92\u5f0f\u56fe\u50cf\u3002<\/strong> \u5176\u4e2d\uff0cMatplotlib\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\uff0c\u80fd\u591f\u521b\u5efa\u9ad8\u8d28\u91cf\u7684\u56fe\u50cf\u5e76\u5bfc\u51fa\u4e3a\u591a\u79cd\u683c\u5f0f\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528Matplotlib\u7ed8\u56fe\u5e76\u4fdd\u5b58\u56fe\u50cf<\/p>\n<\/p>\n

Matplotlib\u662fPython\u4e2d\u6700\u53d7\u6b22\u8fce\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u529f\u80fd\u6765\u521b\u5efa\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\u3002\u4e0b\u9762\u662f\u4f7f\u7528Matplotlib\u7ed8\u56fe\u5e76\u4fdd\u5b58\u56fe\u50cf\u7684\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n

\u5b89\u88c5Matplotlib<\/h3>\n<\/p>\n

\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86Matplotlib\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\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
\u5bfc\u5165\u5e93\u5e76\u521b\u5efa\u56fe\u8868<\/h3>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5bfc\u5165Matplotlib\u5e93\u5e76\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u56fe\u8868\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
x = np.linspace(0, 10, 100)<\/p>\n
y = np.sin(x)<\/p>\n
\u521b\u5efa\u56fe\u8868<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
plt.title('Sine Wave')<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4fdd\u5b58\u56fe\u50cf<\/h3>\n<\/p>\n
\u4f7f\u7528savefig<\/code>\u51fd\u6570\u53ef\u4ee5\u5c06\u56fe\u50cf\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\u3002\u4f60\u53ef\u4ee5\u6307\u5b9a\u6587\u4ef6\u540d\u548c\u683c\u5f0f\uff0c\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
plt.savefig('sine_wave.png')  # \u4fdd\u5b58\u4e3aPNG\u683c\u5f0f<\/p>\n
plt.savefig('sine_wave.jpg')  # \u4fdd\u5b58\u4e3aJPG\u683c\u5f0f<\/p>\n
plt.savefig('sine_wave.pdf')  # \u4fdd\u5b58\u4e3aPDF\u683c\u5f0f<\/p>\n
plt.savefig('sine_wave.svg')  # \u4fdd\u5b58\u4e3aSVG\u683c\u5f0f<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f60\u8fd8\u53ef\u4ee5\u901a\u8fc7\u53c2\u6570\u8bbe\u7f6e\u56fe\u50cf\u7684\u5206\u8fa8\u7387\u548c\u80cc\u666f\u989c\u8272\uff1a<\/p>\n<\/p>\n
plt.savefig('sine_wave.png', dpi=300, bbox_inches='tight', transparent=True)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4ee5\u4e0a\u4ee3\u7801\u4e2d\uff0cdpi<\/code>\u53c2\u6570\u8bbe\u7f6e\u56fe\u50cf\u7684\u5206\u8fa8\u7387\uff0cbbox_inches<\/code>\u53c2\u6570\u786e\u4fdd\u56fe\u50cf\u5185\u5bb9\u4e0d\u4f1a\u88ab\u88c1\u526a\uff0ctransparent<\/code>\u53c2\u6570\u8bbe\u7f6e\u80cc\u666f\u989c\u8272\u4e3a\u900f\u660e\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4fdd\u5b58\u4e3a\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u50cf\u6587\u4ef6<\/p>\n<\/p>\n
Matplotlib\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\uff0c\u4f8b\u5982PNG\u3001JPG\u3001PDF\u3001SVG\u7b49\u3002\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u50cf\u6709\u4e0d\u540c\u7684\u5e94\u7528\u573a\u666f\uff1a<\/p>\n<\/p>\n
PNG\u683c\u5f0f<\/h3>\n<\/p>\n
PNG\uff08Portable Network Graphics\uff09\u662f\u4e00\u79cd\u65e0\u635f\u538b\u7f29\u7684\u56fe\u50cf\u683c\u5f0f\uff0c\u9002\u7528\u4e8e\u9700\u8981\u9ad8\u8d28\u91cf\u56fe\u50cf\u7684\u573a\u666f\u3002\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u4fdd\u5b58\u4e3aPNG\u683c\u5f0f\uff1a<\/p>\n<\/p>\n
plt.savefig('sine_wave.png')<\/p>\n
<\/code><\/pre>\n<\/p>\n
JPG\u683c\u5f0f<\/h3>\n<\/p>\n
JPG\uff08Joint Photographic Experts Group\uff09\u662f\u4e00\u79cd\u6709\u635f\u538b\u7f29\u7684\u56fe\u50cf\u683c\u5f0f\uff0c\u9002\u7528\u4e8e\u9700\u8981\u8f83\u5c0f\u6587\u4ef6\u5927\u5c0f\u7684\u573a\u666f\u3002\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u4fdd\u5b58\u4e3aJPG\u683c\u5f0f\uff1a<\/p>\n<\/p>\n
plt.savefig('sine_wave.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
PDF\u683c\u5f0f<\/h3>\n<\/p>\n
PDF\uff08Portable Document Format\uff09\u662f\u4e00\u79cd\u9002\u5408\u6253\u5370\u548c\u53d1\u5e03\u7684\u6587\u6863\u683c\u5f0f\uff0c\u80fd\u591f\u4fdd\u7559\u77e2\u91cf\u56fe\u50cf\u7684\u9ad8\u8d28\u91cf\u3002\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u4fdd\u5b58\u4e3aPDF\u683c\u5f0f\uff1a<\/p>\n<\/p>\n
plt.savefig('sine_wave.pdf')<\/p>\n
<\/code><\/pre>\n<\/p>\n
SVG\u683c\u5f0f<\/h3>\n<\/p>\n
SVG\uff08Scalable Vector Graphics\uff09\u662f\u4e00\u79cd\u57fa\u4e8eXML\u7684\u77e2\u91cf\u56fe\u50cf\u683c\u5f0f\uff0c\u9002\u7528\u4e8e\u9700\u8981\u53ef\u7f29\u653e\u56fe\u50cf\u7684\u573a\u666f\u3002\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u4fdd\u5b58\u4e3aSVG\u683c\u5f0f\uff1a<\/p>\n<\/p>\n
plt.savefig('sine_wave.svg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u8bbe\u7f6e\u56fe\u50cf\u5206\u8fa8\u7387<\/p>\n<\/p>\n
\u5728\u4fdd\u5b58\u56fe\u50cf\u65f6\uff0c\u8bbe\u7f6e\u5408\u9002\u7684\u5206\u8fa8\u7387\u53ef\u4ee5\u786e\u4fdd\u56fe\u50cf\u7684\u6e05\u6670\u5ea6\u3002\u4f7f\u7528dpi<\/code>\u53c2\u6570\u53ef\u4ee5\u8bbe\u7f6e\u56fe\u50cf\u7684\u5206\u8fa8\u7387\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
plt.savefig('sine_wave.png', dpi=300)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4ee5\u4e0a\u4ee3\u7801\u4e2d\uff0cdpi<\/code>\u53c2\u6570\u8bbe\u7f6e\u4e3a300\uff0c\u8fd9\u5c06\u751f\u6210\u9ad8\u5206\u8fa8\u7387\u7684\u56fe\u50cf\uff0c\u9002\u5408\u6253\u5370\u548c\u9ad8\u8d28\u91cf\u663e\u793a\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4fdd\u5b58\u4e3a\u77e2\u91cf\u56fe<\/p>\n<\/p>\n
\u77e2\u91cf\u56fe\u50cf\u683c\u5f0f\uff08\u5982SVG\u548cPDF\uff09\u80fd\u591f\u4fdd\u6301\u56fe\u50cf\u7684\u9ad8\u8d28\u91cf\uff0c\u65e0\u8bba\u653e\u5927\u591a\u5c11\u500d\u90fd\u4e0d\u4f1a\u5931\u771f\u3002\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u4fdd\u5b58\u4e3aSVG\u548cPDF\u683c\u5f0f\uff1a<\/p>\n<\/p>\n
plt.savefig('sine_wave.svg')  # \u4fdd\u5b58\u4e3aSVG\u683c\u5f0f<\/p>\n
plt.savefig('sine_wave.pdf')  # \u4fdd\u5b58\u4e3aPDF\u683c\u5f0f<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u77e2\u91cf\u56fe\u50cf\u9002\u7528\u4e8e\u9700\u8981\u9ad8\u8d28\u91cf\u6253\u5370\u548c\u53ef\u7f29\u653e\u56fe\u50cf\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u4fdd\u5b58\u4e3a\u4ea4\u4e92\u5f0f\u56fe\u50cf<\/p>\n<\/p>\n
\u9664\u4e86\u9759\u6001\u56fe\u50cf\uff0cMatplotlib\u8fd8\u652f\u6301\u4fdd\u5b58\u4e3a\u4ea4\u4e92\u5f0f\u56fe\u50cf\uff0c\u5141\u8bb8\u7528\u6237\u5728\u6d4f\u89c8\u5668\u4e2d\u67e5\u770b\u548c\u4ea4\u4e92\u3002\u4f8b\u5982\uff0c\u4f7f\u7528Plotly\u5e93\u53ef\u4ee5\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u8868\uff1a<\/p>\n<\/p>\n
\u5b89\u88c5Plotly<\/h3>\n<\/p>\n
\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86Plotly\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install plotly<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u8868<\/h3>\n<\/p>\n
\u4f7f\u7528Plotly\u5e93\u521b\u5efa\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u56fe\u8868\uff1a<\/p>\n<\/p>\n
import plotly.express as px<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
df = pd.DataFrame({<\/p>\n
    'x': np.linspace(0, 10, 100),<\/p>\n
    'y': np.sin(np.linspace(0, 10, 100))<\/p>\n
})<\/p>\n
\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u8868<\/strong><\/h2>\n
fig = px.line(df, x='x', y='y', title='Sine Wave')<\/p>\n
fig.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4fdd\u5b58\u4ea4\u4e92\u5f0f\u56fe\u8868<\/h3>\n<\/p>\n
\u4f7f\u7528write_html<\/code>\u51fd\u6570\u53ef\u4ee5\u5c06\u4ea4\u4e92\u5f0f\u56fe\u8868\u4fdd\u5b58\u4e3aHTML\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
fig.write_html('sine_wave.html')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4fdd\u5b58\u4e3aHTML\u6587\u4ef6\u540e\uff0c\u7528\u6237\u53ef\u4ee5\u5728\u6d4f\u89c8\u5668\u4e2d\u6253\u5f00\u5e76\u67e5\u770b\u4ea4\u4e92\u5f0f\u56fe\u8868\u3002<\/p>\n<\/p>\n
\u516d\u3001\u5176\u4ed6\u7ed8\u56fe\u5e93<\/p>\n<\/p>\n
\u9664\u4e86Matplotlib\uff0cPython\u4e2d\u8fd8\u6709\u5176\u4ed6\u7ed8\u56fe\u5e93\u53ef\u4ee5\u7528\u6765\u7ed8\u56fe\u5e76\u4fdd\u5b58\u56fe\u50cf\uff0c\u4f8b\u5982Seaborn\u3001Plotly\u3001Bokeh\u7b49\u3002<\/p>\n<\/p>\n
Seaborn<\/h3>\n<\/p>\n
Seaborn\u662f\u57fa\u4e8eMatplotlib\u7684\u9ad8\u7ea7\u7ed8\u56fe\u5e93\uff0c\u63d0\u4f9b\u4e86\u66f4\u7b80\u6d01\u7684API\u548c\u66f4\u7f8e\u89c2\u7684\u9ed8\u8ba4\u6837\u5f0f\u3002\u4e0b\u9762\u662f\u4f7f\u7528Seaborn\u521b\u5efa\u56fe\u8868\u5e76\u4fdd\u5b58\u56fe\u50cf\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import seaborn as sns<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
x = np.linspace(0, 10, 100)<\/p>\n
y = np.sin(x)<\/p>\n
df = pd.DataFrame({'x': x, 'y': y})<\/p>\n
\u521b\u5efa\u56fe\u8868<\/strong><\/h2>\n
sns.lineplot(data=df, x='x', y='y')<\/p>\n
plt.title('Sine Wave')<\/p>\n
\u4fdd\u5b58\u56fe\u50cf<\/strong><\/h2>\n
plt.savefig('sine_wave_seaborn.png')<\/p>\n
<\/code><\/pre>\n<\/p>\n
Bokeh<\/h3>\n<\/p>\n
Bokeh\u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efa\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u7684\u5e93\uff0c\u9002\u5408\u5728Web\u5e94\u7528\u4e2d\u5c55\u793a\u56fe\u8868\u3002\u4e0b\u9762\u662f\u4f7f\u7528Bokeh\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u8868\u5e76\u4fdd\u5b58\u56fe\u50cf\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from bokeh.plotting import figure, output_file, save<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
x = np.linspace(0, 10, 100)<\/p>\n
y = np.sin(x)<\/p>\n
\u521b\u5efa\u56fe\u8868<\/strong><\/h2>\n
p = figure(title='Sine Wave', x_axis_label='X-axis', y_axis_label='Y-axis')<\/p>\n
p.line(x, y, legend_label='Sine', line_width=2)<\/p>\n
\u4fdd\u5b58\u56fe\u50cf<\/strong><\/h2>\n
output_file('sine_wave_bokeh.html')<\/p>\n
save(p)<\/p>\n
<\/code><\/pre>\n<\/p>\n
Plotly<\/h3>\n<\/p>\n
Plotly\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u7ed8\u56fe\u5e93\uff0c\u652f\u6301\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u8868\u548c3D\u56fe\u8868\u3002\u6211\u4eec\u5df2\u7ecf\u5728\u524d\u9762\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528Plotly\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u8868\u5e76\u4fdd\u5b58\u4e3aHTML\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u603b\u7ed3<\/p>\n<\/p>\n
\u4f7f\u7528Python\u7ed8\u56fe\u5e76\u4fdd\u5b58\u56fe\u50cf\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5176\u4e2dMatplotlib\u662f\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u521b\u5efa\u9ad8\u8d28\u91cf\u56fe\u8868\u5e76\u4fdd\u5b58\u4e3a\u591a\u79cd\u683c\u5f0f\u7684\u56fe\u50cf\u6587\u4ef6\u3002\u8bbe\u7f6e\u56fe\u50cf\u5206\u8fa8\u7387\u3001\u4fdd\u5b58\u4e3a\u77e2\u91cf\u56fe\u548c\u4ea4\u4e92\u5f0f\u56fe\u50cf\u4e5f\u662f\u5e38\u89c1\u7684\u9700\u6c42\u3002\u9664\u4e86Matplotlib\uff0cSeaborn\u3001Plotly\u548cBokeh\u7b49\u5e93\u4e5f\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u7ed8\u56fe\u529f\u80fd\uff0c\u9002\u7528\u4e8e\u4e0d\u540c\u7684\u5e94\u7528\u573a\u666f\u3002\u901a\u8fc7\u638c\u63e1\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u6839\u636e\u9700\u8981\u9009\u62e9\u5408\u9002\u7684\u5e93\u548c\u683c\u5f0f\uff0c\u5c06Python\u7ed8\u56fe\u5bfc\u51fa\u4e3a\u56fe\u50cf\u6587\u4ef6\u3002<\/p>\n<\/p>\n
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