![\"\u5982\u4f55\u7528python\u7ed8\u5236\"](\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25085816\/8d29ad48-278b-40ff-8b7b-c8c024f3b361.webp\")
<\/p>\n<\/p>\n
\u5f00\u5934\u6bb5\u843d\uff1a \u4e00\u3001MATPLOTLIB\uff1a\u57fa\u7840\u7ed8\u56fe\u5de5\u5177<\/p>\n<\/p>\n Matplotlib\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u652f\u6301\u591a\u79cd\u56fe\u5f62\u7c7b\u578b\u3002\u901a\u8fc7\u5b83\uff0c\u53ef\u4ee5\u521b\u5efa\u9759\u6001\u3001\u52a8\u6001\u548c\u4ea4\u4e92\u5f0f\u7684\u56fe\u8868\u3002<\/p>\n<\/p>\n Matplotlib\u7684\u57fa\u672c\u7ed8\u56fe\u529f\u80fd\u53ef\u4ee5\u901a\u8fc7\u5176pyplot\u6a21\u5757\u5b9e\u73b0\u3002pyplot\u6a21\u5757\u63d0\u4f9b\u4e86\u7c7b\u4f3c\u4e8eMATLAB\u7684\u7ed8\u56fe\u63a5\u53e3\uff0c\u4f7f\u5f97\u7528\u6237\u53ef\u4ee5\u65b9\u4fbf\u5730\u521b\u5efa\u56fe\u5f62\u3002<\/p>\n<\/p>\n x = [1, 2, 3, 4]<\/p>\n y = [10, 20, 25, 30]<\/p>\n plt.plot(x, y)<\/p>\n plt.title('Basic Line Plot')<\/p>\n plt.xlabel('x-axis')<\/p>\n plt.ylabel('y-axis')<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u4e0a\u9762\u7684\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u901a\u8fc7Matplotlib\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u7ebf\u56fe\u3002\u53ef\u4ee5\u901a\u8fc7 Matplotlib\u5141\u8bb8\u7528\u6237\u901a\u8fc7\u5404\u79cd\u65b9\u6cd5\u81ea\u5b9a\u4e49\u56fe\u5f62\u7684\u5916\u89c2\u3002\u8fd9\u5305\u62ec\u989c\u8272\u3001\u7ebf\u578b\u3001\u6807\u8bb0\u7b49\u3002<\/p>\n<\/p>\n plt.title('Customized Line Plot')<\/p>\n plt.xlabel('x-axis')<\/p>\n plt.ylabel('y-axis')<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u901a\u8fc7\u5728 \u4e8c\u3001SEABORN\uff1a\u9ad8\u7ea7\u7edf\u8ba1\u56fe\u5f62<\/p>\n<\/p>\n Seaborn\u662f\u4e00\u4e2a\u57fa\u4e8eMatplotlib\u7684\u9ad8\u7ea7\u56fe\u5f62\u5e93\uff0c\u4e13\u6ce8\u4e8e\u7edf\u8ba1\u56fe\u5f62\u7684\u521b\u5efa\u3002\u5b83\u63d0\u4f9b\u4e86\u66f4\u7b80\u6d01\u7684\u63a5\u53e3\u548c\u66f4\u7f8e\u89c2\u7684\u9ed8\u8ba4\u6837\u5f0f\u3002<\/p>\n<\/p>\n Seaborn\u7684\u5f3a\u5927\u4e4b\u5904\u5728\u4e8e\u5176\u6570\u636e\u53ef\u89c6\u5316\u529f\u80fd\u3002\u5b83\u80fd\u591f\u76f4\u63a5\u5904\u7406Pandas DataFrame\uff0c\u7b80\u5316\u4e86\u6570\u636e\u5904\u7406\u7684\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n import pandas as pd<\/p>\n data = pd.DataFrame({<\/p>\n 'x': [1, 2, 3, 4],<\/p>\n 'y': [10, 20, 25, 30]<\/p>\n })<\/p>\n sns.scatterplot(data=data, x='x', y='y')<\/p>\n plt.title('Scatter Plot using Seaborn')<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0cSeaborn\u901a\u8fc7 Seaborn\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e9b\u9ad8\u7ea7\u7edf\u8ba1\u56fe\u5f62\uff0c\u4f8b\u5982\u7bb1\u7ebf\u56fe\u3001\u5206\u5e03\u56fe\u7b49\uff0c\u8fd9\u4e9b\u56fe\u5f62\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u66f4\u597d\u5730\u7406\u89e3\u6570\u636e\u3002<\/p>\n<\/p>\n sns.boxplot(data=data, x='x', y='y')<\/p>\n plt.title('Box Plot using Seaborn')<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u7bb1\u7ebf\u56fe\u7528\u4e8e\u663e\u793a\u6570\u636e\u7684\u5206\u5e03\u60c5\u51b5\uff0c\u5305\u62ec\u4e2d\u4f4d\u6570\u3001\u56db\u5206\u4f4d\u6570\u548c\u5f02\u5e38\u503c\u7b49\u4fe1\u606f\u3002Seaborn\u901a\u8fc7\u7b80\u5355\u7684\u4ee3\u7801\u5b9e\u73b0\u4e86\u8fd9\u4e00\u529f\u80fd\u3002<\/p>\n<\/p>\n \u4e09\u3001PLOTLY\uff1a\u4ea4\u4e92\u5f0f\u56fe\u5f62<\/p>\n<\/p>\n Plotly\u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u5f62\u7684\u5e93\uff0c\u9002\u5408\u9700\u8981\u52a8\u6001\u5c55\u793a\u6570\u636e\u7684\u573a\u666f\u3002\u5b83\u652f\u6301Web\u5e94\u7528\u7684\u96c6\u6210\uff0c\u4f7f\u5f97\u56fe\u5f62\u53ef\u4ee5\u5728\u7f51\u9875\u4e2d\u8fdb\u884c\u4ea4\u4e92\u3002<\/p>\n<\/p>\n Plotly\u53ef\u4ee5\u901a\u8fc7\u5176plotly.express\u6a21\u5757\u5feb\u901f\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u5f62\u3002<\/p>\n<\/p>\n fig = px.line(x=x, y=y, title='Interactive Line Plot')<\/p>\n fig.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c Plotly\u5141\u8bb8\u7528\u6237\u901a\u8fc7\u6dfb\u52a0\u4ea4\u4e92\u7ec4\u4ef6\u6765\u589e\u5f3a\u56fe\u5f62\u7684\u529f\u80fd\uff0c\u8fd9\u5305\u62ec\u6ed1\u5757\u3001\u6309\u94ae\u7b49\u3002<\/p>\n<\/p>\n fig = px.scatter(x=x, y=y, title='Interactive Scatter Plot')<\/p>\n fig.update_traces(marker=dict(size=12, color='rgba(135, 206, 250, 0.5)', line=dict(width=2, color='DarkSlateGrey')))<\/p>\n fig.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u901a\u8fc7 \u56db\u3001\u7efc\u5408\u5e94\u7528\u5b9e\u4f8b<\/p>\n<\/p>\n \u7ed3\u5408\u4e0a\u8ff0\u5e93\u7684\u7279\u70b9\uff0c\u53ef\u4ee5\u5728\u4e00\u4e2a\u9879\u76ee\u4e2d\u7efc\u5408\u5e94\u7528\u8fd9\u4e9b\u5e93\uff0c\u4ee5\u5b9e\u73b0\u590d\u6742\u7684\u6570\u636e\u53ef\u89c6\u5316\u9700\u6c42\u3002<\/p>\n<\/p>\n \u5047\u8bbe\u6211\u4eec\u6b63\u5728\u8fdb\u884c\u4e00\u9879\u6570\u636e\u5206\u6790\u9879\u76ee\uff0c\u6d89\u53ca\u591a\u4e2a\u6570\u636e\u96c6\u7684\u53ef\u89c6\u5316\u3002\u6211\u4eec\u5e0c\u671b\u901a\u8fc7Matplotlib\u3001Seaborn\u548cPlotly\u6765\u5c55\u793a\u4e0d\u540c\u7684\u6570\u636e\u7279\u5f81\u3002<\/p>\n<\/p>\n \u9996\u5148\uff0c\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\u5e76\u51c6\u5907\u6570\u636e\u3002<\/p>\n<\/p>\n x = np.linspace(0, 10, 100)<\/p>\n y1 = np.sin(x)<\/p>\n y2 = np.cos(x)<\/p>\n data = pd.DataFrame({'x': x, 'sin(x)': y1, 'cos(x)': y2})<\/p>\n <\/code><\/pre>\n<\/p>\n \u4f7f\u7528Matplotlib\u7ed8\u5236\u57fa\u7840\u7ebf\u56fe\u548c\u6761\u5f62\u56fe\u3002<\/p>\n<\/p>\n plt.plot(data['x'], data['sin(x)'], label='sin(x)')<\/p>\n plt.plot(data['x'], data['cos(x)'], label='cos(x)')<\/p>\n plt.title('Sin and Cos Functions')<\/p>\n plt.xlabel('x')<\/p>\n plt.ylabel('Value')<\/p>\n plt.legend()<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u4f7f\u7528Seaborn\u7ed8\u5236\u7bb1\u7ebf\u56fe\u548c\u5206\u5e03\u56fe\uff0c\u4ee5\u5206\u6790\u6570\u636e\u7684\u5206\u5e03\u7279\u5f81\u3002<\/p>\n<\/p>\n sns.histplot(data=data, x='sin(x)', color='blue', kde=True, label='sin(x)')<\/p>\n sns.histplot(data=data, x='cos(x)', color='red', kde=True, label='cos(x)')<\/p>\n plt.title('Distribution of Sin and Cos Functions')<\/p>\n plt.legend()<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u6700\u540e\uff0c\u4f7f\u7528Plotly\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u5f62\uff0c\u4ee5\u4fbf\u7528\u6237\u53ef\u4ee5\u52a8\u6001\u63a2\u7d22\u6570\u636e\u3002<\/p>\n<\/p>\n fig = px.line(data, x='x', y=['sin(x)', 'cos(x)'], title='Interactive Sin and Cos Functions')<\/p>\n fig.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u6211\u4eec\u80fd\u591f\u5229\u7528Matplotlib\u3001Seaborn\u548cPlotly\u7684\u4f18\u52bf\uff0c\u521b\u5efa\u51fa\u4e30\u5bcc\u3001\u8be6\u5b9e\u4e14\u5177\u6709\u9ad8\u5ea6\u4ea4\u4e92\u6027\u7684\u56fe\u5f62\uff0c\u4ee5\u6ee1\u8db3\u4e0d\u540c\u7684\u53ef\u89c6\u5316\u9700\u6c42\u3002<\/p>\n<\/p>\n \u5982\u4f55\u5f00\u59cb\u5b66\u4e60\u7528Python\u7ed8\u5236\u56fe\u5f62\uff1f<\/strong> Python\u7ed8\u56fe\u4e2d\u5e38\u7528\u7684\u5e93\u6709\u54ea\u4e9b\uff1f<\/strong> \u7528Python\u7ed8\u5236\u56fe\u5f62\u65f6\uff0c\u5982\u4f55\u5904\u7406\u6570\u636e\uff1f<\/strong>
\u7528Python\u7ed8\u5236\u56fe\u5f62\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u5e93\u5b9e\u73b0\uff0c\u5176\u4e2dMatplotlib\u3001Seaborn\u548cPlotly\u662f\u6700\u5e38\u7528\u7684\u5e93<\/strong>\u3002Matplotlib\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u529f\u80fd\u548c\u7075\u6d3b\u6027\uff0c\u9002\u5408\u9700\u8981\u7cbe\u7ec6\u63a7\u5236\u56fe\u5f62\u7ec6\u8282\u7684\u7528\u6237\uff1bSeaborn\u57fa\u4e8eMatplotlib\uff0c\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u7684\u63a5\u53e3\uff0c\u9002\u5408\u5feb\u901f\u521b\u5efa\u7f8e\u89c2\u7684\u7edf\u8ba1\u56fe\u5f62\uff1bPlotly\u5219\u4ee5\u4ea4\u4e92\u6027\u8457\u79f0\uff0c\u9002\u5408\u9700\u8981\u52a8\u6001\u5c55\u793a\u6570\u636e\u7684\u573a\u666f\u3002\u4f7f\u7528Matplotlib\u53ef\u4ee5\u4ece\u57fa\u672c\u7684\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u5f00\u59cb\uff0c\u901a\u8fc7\u8bbe\u7f6e\u56fe\u5f62\u5c5e\u6027\u548c\u6837\u5f0f\u63d0\u5347\u56fe\u5f62\u8d28\u91cf\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u5e93\u7ed8\u5236\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u5f62\uff0c\u4ee5\u53ca\u6bcf\u79cd\u5e93\u7684\u4f7f\u7528\u573a\u666f\u548c\u4f18\u52bf\u3002<\/p>\n<\/p>\n\n
import matplotlib.pyplot as plt<\/p>\n\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u7ebf\u56fe<\/strong><\/h2>\n
plot()<\/code>\u51fd\u6570\u7ed8\u5236\u7ebf\u56fe\uff0c\u5e76\u901a\u8fc7title()<\/code>\u3001xlabel()<\/code>\u548cylabel()<\/code>\u51fd\u6570\u6dfb\u52a0\u6807\u9898\u548c\u5750\u6807\u8f74\u6807\u7b7e\u3002<\/p>\n<\/p>\n\n
plt.plot(x, y, color='green', linestyle='--', marker='o')<\/p>\nplot()<\/code>\u51fd\u6570\u4e2d\u6dfb\u52a0\u53c2\u6570\uff0c\u53ef\u4ee5\u6539\u53d8\u7ebf\u6761\u7684\u989c\u8272\u3001\u6837\u5f0f\u548c\u6807\u8bb0\u3002\u8fd9\u6837\u53ef\u4ee5\u4f7f\u56fe\u5f62\u66f4\u52a0\u7f8e\u89c2\u548c\u6613\u4e8e\u7406\u89e3\u3002<\/p>\n<\/p>\n\n
import seaborn as sns<\/p>\n\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
\u521b\u5efa\u4e00\u4e2a\u6563\u70b9\u56fe<\/strong><\/h2>\n
scatterplot()<\/code>\u51fd\u6570\u521b\u5efa\u4e86\u4e00\u4e2a\u6563\u70b9\u56fe\u3002\u76f8\u6bd4Matplotlib\uff0cSeaborn\u7684\u4ee3\u7801\u66f4\u52a0\u7b80\u6d01\uff0c\u5e76\u4e14\u9ed8\u8ba4\u6837\u5f0f\u66f4\u52a0\u7f8e\u89c2\u3002<\/p>\n<\/p>\n\n
# \u521b\u5efa\u4e00\u4e2a\u7bb1\u7ebf\u56fe<\/p>\n\n
import plotly.express as px<\/p>\n\u521b\u5efa\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u7ebf\u56fe<\/strong><\/h2>\n
px.line()<\/code>\u51fd\u6570\u521b\u5efa\u4e86\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u7ebf\u56fe\u3002\u7528\u6237\u53ef\u4ee5\u5728\u56fe\u5f62\u4e2d\u653e\u5927\u3001\u7f29\u5c0f\u548c\u60ac\u505c\u67e5\u770b\u6570\u636e\u70b9\u7684\u8be6\u7ec6\u4fe1\u606f\u3002<\/p>\n<\/p>\n\n
# \u521b\u5efa\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u6563\u70b9\u56fe<\/p>\nupdate_traces()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u81ea\u5b9a\u4e49\u56fe\u5f62\u7684\u5916\u89c2\u548c\u4ea4\u4e92\u884c\u4e3a\u3002\u8fd9\u79cd\u7075\u6d3b\u6027\u4f7f\u5f97Plotly\u5728\u9700\u8981\u590d\u6742\u4ea4\u4e92\u7684\u573a\u666f\u4e2d\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n\n
\n
import numpy as np<\/p>\n\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
\n
plt.figure(figsize=(10, 5))<\/p>\n\u7ed8\u5236sin(x)\u548ccos(x)\u7684\u7ebf\u56fe<\/strong><\/h2>\n
\n
# \u7ed8\u5236sin(x)\u548ccos(x)\u7684\u5206\u5e03\u56fe<\/p>\n\n
# \u521b\u5efa\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u7ebf\u56fe<\/p>\n\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
\u8981\u5f00\u59cb\u4f7f\u7528Python\u8fdb\u884c\u7ed8\u56fe\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u9002\u5408\u7ed8\u56fe\u7684\u5e93\uff0c\u4f8b\u5982Matplotlib\u548cSeaborn\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u7ed8\u56fe\u529f\u80fd\uff0c\u80fd\u591f\u5e2e\u52a9\u4f60\u521b\u5efa\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u5f62\uff0c\u5982\u7ebf\u56fe\u3001\u6563\u70b9\u56fe\u548c\u67f1\u72b6\u56fe\u3002\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684pip install matplotlib seaborn<\/code>\u547d\u4ee4\u6765\u5b89\u88c5\u8fd9\u4e9b\u5e93\u3002\u5b66\u4e60\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u5e93\u7684\u6700\u4f73\u65b9\u5f0f\u662f\u67e5\u9605\u5b98\u65b9\u6587\u6863\u6216\u5728\u7ebf\u6559\u7a0b\uff0c\u4e86\u89e3\u57fa\u672c\u7684\u7ed8\u56fe\u547d\u4ee4\u548c\u53c2\u6570\u8bbe\u7f6e\u3002<\/p>\n
\u5728Python\u4e2d\uff0c\u6709\u591a\u4e2a\u5e93\u53ef\u4ee5\u7528\u6765\u7ed8\u5236\u56fe\u5f62\u3002\u6700\u5e38\u7528\u7684\u5305\u62ecMatplotlib\u3001Seaborn\u3001Plotly\u548cBokeh\u3002Matplotlib\u662f\u6700\u57fa\u7840\u7684\u7ed8\u56fe\u5e93\uff0c\u9002\u7528\u4e8e\u7b80\u5355\u7684\u4e8c\u7ef4\u56fe\u5f62\u3002Seaborn\u5efa\u7acb\u5728Matplotlib\u4e4b\u4e0a\uff0c\u63d0\u4f9b\u66f4\u7f8e\u89c2\u7684\u9ed8\u8ba4\u6837\u5f0f\u548c\u66f4\u590d\u6742\u7684\u7edf\u8ba1\u56fe\u5f62\u3002Plotly\u548cBokeh\u5219\u66f4\u9002\u5408\u4e8e\u4ea4\u4e92\u5f0f\u56fe\u5f62\u7684\u7ed8\u5236\uff0c\u7279\u522b\u662f\u5728Web\u5e94\u7528\u4e2d\u5e7f\u6cdb\u4f7f\u7528\u3002<\/p>\n
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