{"id":1160999,"date":"2025-01-13T19:11:35","date_gmt":"2025-01-13T11:11:35","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1160999.html"},"modified":"2025-01-13T19:11:38","modified_gmt":"2025-01-13T11:11:38","slug":"python%e7%94%bb%e5%9b%be%e5%a6%82%e4%bd%95%e8%be%93%e5%85%a5%e5%a4%9a%e4%b8%aa%e5%8f%82%e6%95%b0","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1160999.html","title":{"rendered":"python\u753b\u56fe\u5982\u4f55\u8f93\u5165\u591a\u4e2a\u53c2\u6570"},"content":{"rendered":"

\"python\u753b\u56fe\u5982\u4f55\u8f93\u5165\u591a\u4e2a\u53c2\u6570\"<\/p>\n

\u5728Python\u4e2d\u8fdb\u884c\u7ed8\u56fe\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u8f93\u5165\u591a\u4e2a\u53c2\u6570\uff0c\u5982\u4f7f\u7528Matplotlib\u5e93\u7684plot\u51fd\u6570\u3001\u4f7f\u7528\u51fd\u6570\u53c2\u6570\u4f20\u9012\u7b49\u3002\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u7075\u6d3b\u5730\u5b9a\u5236\u56fe\u5f62\u7684\u5916\u89c2\u548c\u6570\u636e\u5c55\u793a\u3002<\/strong> \u5176\u4e2d\uff0cMatplotlib\u5e93\u662fPython\u4e2d\u6700\u5e7f\u6cdb\u4f7f\u7528\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u5b83\u5177\u6709\u5f3a\u5927\u7684\u529f\u80fd\u548c\u7075\u6d3b\u6027\uff0c\u53ef\u4ee5\u5728\u56fe\u5f62\u4e2d\u6dfb\u52a0\u591a\u79cd\u7c7b\u578b\u7684\u53c2\u6570\uff0c\u5982\u989c\u8272\u3001\u7ebf\u578b\u3001\u6807\u8bb0\u7b49\u3002\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u53c2\u6570\u6765\u521b\u5efa\u4e30\u5bcc\u7684\u56fe\u5f62\u3002<\/p>\n<\/p>\n

\u4e00\u3001Matplotlib\u5e93\u7b80\u4ecb<\/h3>\n<\/p>\n

Matplotlib\u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efa\u9759\u6001\u3001\u52a8\u753b\u548c\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u7684\u7efc\u5408\u5e93\u3002\u5b83\u4e3a\u7528\u6237\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u5f62\u7c7b\u578b\u548c\u9ad8\u5ea6\u81ea\u5b9a\u4e49\u7684\u9009\u9879\uff0c\u51e0\u4e4e\u53ef\u4ee5\u6ee1\u8db3\u6240\u6709\u7684\u7ed8\u56fe\u9700\u6c42\u3002<\/p>\n<\/p>\n

1. \u5b89\u88c5\u548c\u5bfc\u5165<\/h4>\n<\/p>\n

\u8981\u4f7f\u7528Matplotlib\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u8be5\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528pip\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install matplotlib<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165\u8be5\u5e93\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u57fa\u672c\u7ed8\u56fe\u51fd\u6570<\/h4>\n<\/p>\n
Matplotlib\u7684\u6838\u5fc3\u7ed8\u56fe\u51fd\u6570\u662fplot<\/code>\u51fd\u6570\uff0c\u5b83\u53ef\u4ee5\u7ed8\u5236\u6298\u7ebf\u56fe\u3002\u6700\u57fa\u672c\u7684\u4f7f\u7528\u65b9\u5f0f\u662f\u4f20\u5165x\u548cy\u5750\u6807\uff1a<\/p>\n<\/p>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
plt.plot(x, y)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u8f93\u5165\u591a\u4e2a\u53c2\u6570\u7ed8\u56fe<\/h3>\n<\/p>\n
\u5728Matplotlib\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u8f93\u5165\u591a\u4e2a\u53c2\u6570\u6765\u5b9a\u5236\u56fe\u5f62\u3002\u8fd9\u4e9b\u53c2\u6570\u53ef\u4ee5\u63a7\u5236\u56fe\u5f62\u7684\u989c\u8272\u3001\u7ebf\u578b\u3001\u6807\u8bb0\u3001\u6807\u7b7e\u7b49\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u53c2\u6570\u7684\u4f7f\u7528\u3002<\/p>\n<\/p>\n
1. \u989c\u8272\u53c2\u6570<\/h4>\n<\/p>\n
\u989c\u8272\u53c2\u6570\u53ef\u4ee5\u7528\u6765\u8bbe\u7f6e\u7ebf\u6761\u7684\u989c\u8272\u3002\u5728plot<\/code>\u51fd\u6570\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528color<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u989c\u8272\u3002\u989c\u8272\u53ef\u4ee5\u4f7f\u7528\u989c\u8272\u540d\u79f0\u3001\u7f29\u5199\u6216\u5341\u516d\u8fdb\u5236\u989c\u8272\u4ee3\u7801\u8868\u793a\u3002<\/p>\n<\/p>\n
plt.plot(x, y, color='red')  # \u4f7f\u7528\u989c\u8272\u540d\u79f0<\/p>\n
plt.plot(x, y, color='r')    # \u4f7f\u7528\u989c\u8272\u7f29\u5199<\/p>\n
plt.plot(x, y, color='#FF0000')  # \u4f7f\u7528\u5341\u516d\u8fdb\u5236\u989c\u8272\u4ee3\u7801<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u7ebf\u578b\u53c2\u6570<\/h4>\n<\/p>\n
\u7ebf\u578b\u53c2\u6570\u53ef\u4ee5\u7528\u6765\u8bbe\u7f6e\u7ebf\u6761\u7684\u6837\u5f0f\u3002\u5728plot<\/code>\u51fd\u6570\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528linestyle<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u7ebf\u578b\u3002\u5e38\u7528\u7684\u7ebf\u578b\u6709\u5b9e\u7ebf\u3001\u865a\u7ebf\u3001\u70b9\u7ebf\u7b49\u3002<\/p>\n<\/p>\n
plt.plot(x, y, linestyle='-')  # \u5b9e\u7ebf<\/p>\n
plt.plot(x, y, linestyle='--')  # \u865a\u7ebf<\/p>\n
plt.plot(x, y, linestyle=':')  # \u70b9\u7ebf<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u6807\u8bb0\u53c2\u6570<\/h4>\n<\/p>\n
\u6807\u8bb0\u53c2\u6570\u53ef\u4ee5\u7528\u6765\u8bbe\u7f6e\u6570\u636e\u70b9\u7684\u6807\u8bb0\u6837\u5f0f\u3002\u5728plot<\/code>\u51fd\u6570\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528marker<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u6807\u8bb0\u3002\u5e38\u7528\u7684\u6807\u8bb0\u6709\u5706\u70b9\u3001\u65b9\u5757\u3001\u4e09\u89d2\u5f62\u7b49\u3002<\/p>\n<\/p>\n
plt.plot(x, y, marker='o')  # \u5706\u70b9<\/p>\n
plt.plot(x, y, marker='s')  # \u65b9\u5757<\/p>\n
plt.plot(x, y, marker='^')  # \u4e09\u89d2\u5f62<\/p>\n
<\/code><\/pre>\n<\/p>\n
4. \u7efc\u5408\u4f7f\u7528\u591a\u4e2a\u53c2\u6570<\/h4>\n<\/p>\n
\u53ef\u4ee5\u5c06\u989c\u8272\u3001\u7ebf\u578b\u548c\u6807\u8bb0\u53c2\u6570\u7efc\u5408\u4f7f\u7528\uff0c\u521b\u5efa\u66f4\u52a0\u4e30\u5bcc\u7684\u56fe\u5f62\uff1a<\/p>\n<\/p>\n
plt.plot(x, y, color='blue', linestyle='--', marker='o')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u51fd\u6570\u53c2\u6570\u4f20\u9012<\/h3>\n<\/p>\n
\u9664\u4e86\u5728plot<\/code>\u51fd\u6570\u4e2d\u76f4\u63a5\u4f20\u9012\u53c2\u6570\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528\u51fd\u6570\u53c2\u6570\u4f20\u9012\u7684\u65b9\u5f0f\u6765\u5b9a\u5236\u56fe\u5f62\u3002\u53ef\u4ee5\u901a\u8fc7\u5b9a\u4e49\u51fd\u6570\u7684\u5f62\u5f0f\uff0c\u5c06\u53c2\u6570\u4f20\u9012\u7ed9\u7ed8\u56fe\u51fd\u6570\u3002<\/p>\n<\/p>\n
1. \u5b9a\u4e49\u7ed8\u56fe\u51fd\u6570<\/h4>\n<\/p>\n
\u53ef\u4ee5\u5b9a\u4e49\u4e00\u4e2a\u7ed8\u56fe\u51fd\u6570\uff0c\u5c06\u7ed8\u56fe\u53c2\u6570\u4f5c\u4e3a\u51fd\u6570\u53c2\u6570\u4f20\u9012\uff1a<\/p>\n<\/p>\n
def plot_graph(x, y, color='blue', linestyle='-', marker='o'):<\/p>\n
    plt.plot(x, y, color=color, linestyle=linestyle, marker=marker)<\/p>\n
    plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u8c03\u7528\u7ed8\u56fe\u51fd\u6570<\/h4>\n<\/p>\n
\u5728\u8c03\u7528\u7ed8\u56fe\u51fd\u6570\u65f6\uff0c\u53ef\u4ee5\u4f20\u5165\u4e0d\u540c\u7684\u53c2\u6570\u6765\u5b9a\u5236\u56fe\u5f62\uff1a<\/p>\n<\/p>\n
plot_graph(x, y, color='red', linestyle='--', marker='^')<\/p>\n
plot_graph(x, y, color='green', linestyle=':', marker='s')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u5b50\u56fe\u548c\u591a\u56fe\u7ed8\u5236<\/h3>\n<\/p>\n
Matplotlib\u8fd8\u63d0\u4f9b\u4e86\u7ed8\u5236\u5b50\u56fe\u548c\u591a\u56fe\u7684\u529f\u80fd\uff0c\u53ef\u4ee5\u5728\u4e00\u4e2a\u753b\u5e03\u4e0a\u7ed8\u5236\u591a\u4e2a\u56fe\u5f62\u3002<\/p>\n<\/p>\n
1. \u4f7f\u7528subplot\u51fd\u6570<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528subplot<\/code>\u51fd\u6570\u6765\u521b\u5efa\u5b50\u56fe\u3002\u5728subplot<\/code>\u51fd\u6570\u4e2d\uff0c\u53ef\u4ee5\u6307\u5b9a\u5b50\u56fe\u7684\u884c\u6570\u3001\u5217\u6570\u548c\u5f53\u524d\u5b50\u56fe\u7684\u7d22\u5f15\u3002<\/p>\n<\/p>\n
plt.subplot(2, 1, 1)  # \u521b\u5efa2\u884c1\u5217\u7684\u5b50\u56fe\uff0c\u5f53\u524d\u7ed8\u5236\u7b2c1\u4e2a\u5b50\u56fe<\/p>\n
plt.plot(x, y, color='red')<\/p>\n
plt.subplot(2, 1, 2)  # \u5f53\u524d\u7ed8\u5236\u7b2c2\u4e2a\u5b50\u56fe<\/p>\n
plt.plot(x, y, color='blue')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u4f7f\u7528figure\u548cadd_subplot\u51fd\u6570<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528figure<\/code>\u548cadd_subplot<\/code>\u51fd\u6570\u6765\u521b\u5efa\u5b50\u56fe\u3002\u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u66f4\u52a0\u7075\u6d3b\u5730\u7ba1\u7406\u591a\u4e2a\u5b50\u56fe\u3002<\/p>\n<\/p>\n
fig = plt.figure()<\/p>\n
ax1 = fig.add_subplot(2, 1, 1)  # \u521b\u5efa2\u884c1\u5217\u7684\u5b50\u56fe\uff0c\u5f53\u524d\u7ed8\u5236\u7b2c1\u4e2a\u5b50\u56fe<\/p>\n
ax1.plot(x, y, color='red')<\/p>\n
ax2 = fig.add_subplot(2, 1, 2)  # \u5f53\u524d\u7ed8\u5236\u7b2c2\u4e2a\u5b50\u56fe<\/p>\n
ax2.plot(x, y, color='blue')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u9ad8\u7ea7\u7ed8\u56fe\u529f\u80fd<\/h3>\n<\/p>\n
Matplotlib\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u7ea7\u7ed8\u56fe\u529f\u80fd\uff0c\u53ef\u4ee5\u521b\u5efa\u66f4\u52a0\u590d\u6742\u548c\u7cbe\u7f8e\u7684\u56fe\u5f62\u3002<\/p>\n<\/p>\n
1. \u8bbe\u7f6e\u56fe\u5f62\u6807\u9898\u548c\u6807\u7b7e<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528title<\/code>\u3001xlabel<\/code>\u548cylabel<\/code>\u51fd\u6570\u6765\u8bbe\u7f6e\u56fe\u5f62\u7684\u6807\u9898\u548c\u5750\u6807\u8f74\u6807\u7b7e\uff1a<\/p>\n<\/p>\n
plt.plot(x, y)<\/p>\n
plt.title('Prime Numbers')<\/p>\n
plt.xlabel('Index')<\/p>\n
plt.ylabel('Value')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u4f7f\u7528\u7f51\u683c\u548c\u56fe\u4f8b<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528grid<\/code>\u51fd\u6570\u6765\u6dfb\u52a0\u7f51\u683c\u7ebf\uff0c\u4f7f\u7528legend<\/code>\u51fd\u6570\u6765\u6dfb\u52a0\u56fe\u4f8b\uff1a<\/p>\n<\/p>\n
plt.plot(x, y, label='Prime Numbers')<\/p>\n
plt.grid(True)<\/p>\n
plt.legend()<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u4fdd\u5b58\u56fe\u5f62<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528savefig<\/code>\u51fd\u6570\u5c06\u56fe\u5f62\u4fdd\u5b58\u4e3a\u56fe\u7247\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
plt.plot(x, y)<\/p>\n
plt.savefig('plot.png')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u5176\u4ed6\u7ed8\u56fe\u5e93<\/h3>\n<\/p>\n
\u9664\u4e86Matplotlib\uff0cPython\u4e2d\u8fd8\u6709\u5176\u4ed6\u4e00\u4e9b\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\uff0c\u5982Seaborn\u3001Plotly\u548cBokeh\u3002\u8fd9\u4e9b\u5e93\u5728\u67d0\u4e9b\u65b9\u9762\u5177\u6709\u72ec\u7279\u7684\u4f18\u52bf\uff0c\u53ef\u4ee5\u6839\u636e\u5b9e\u9645\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\u3002<\/p>\n<\/p>\n
1. Seaborn<\/h4>\n<\/p>\n
Seaborn\u662f\u57fa\u4e8eMatplotlib\u7684\u9ad8\u7ea7\u7ed8\u56fe\u5e93\uff0c\u63d0\u4f9b\u4e86\u66f4\u52a0\u7f8e\u89c2\u548c\u7b80\u6d01\u7684\u7ed8\u56fe\u63a5\u53e3\uff0c\u9002\u5408\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u548c\u7edf\u8ba1\u56fe\u8868\u7ed8\u5236\u3002<\/p>\n<\/p>\n
import seaborn as sns<\/p>\n
sns.lineplot(x=[1, 2, 3, 4, 5], y=[2, 3, 5, 7, 11])<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. Plotly<\/h4>\n<\/p>\n
Plotly\u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u5f62\u7684\u5e93\uff0c\u652f\u6301\u591a\u79cd\u56fe\u8868\u7c7b\u578b\u548c\u9ad8\u5ea6\u81ea\u5b9a\u4e49\u7684\u9009\u9879\uff0c\u9002\u5408\u7528\u4e8e\u521b\u5efa\u4ea4\u4e92\u5f0f\u6570\u636e\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n
import plotly.express as px<\/p>\n
fig = px.line(x=[1, 2, 3, 4, 5], y=[2, 3, 5, 7, 11])<\/p>\n
fig.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. Bokeh<\/h4>\n<\/p>\n
Bokeh\u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efa\u4ea4\u4e92\u5f0f\u548cWeb\u53ef\u89c6\u5316\u7684\u5e93\uff0c\u652f\u6301\u4e30\u5bcc\u7684\u56fe\u8868\u7c7b\u578b\u548c\u9ad8\u5ea6\u81ea\u5b9a\u4e49\u7684\u9009\u9879\uff0c\u9002\u5408\u7528\u4e8e\u521b\u5efa\u4ea4\u4e92\u5f0f\u6570\u636e\u53ef\u89c6\u5316\u548cWeb\u5e94\u7528\u3002<\/p>\n<\/p>\n
from bokeh.plotting import figure, show<\/p>\n
p = figure()<\/p>\n
p.line(x=[1, 2, 3, 4, 5], y=[2, 3, 5, 7, 11])<\/p>\n
show(p)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u5728Python\u4e2d\u8fdb\u884c\u7ed8\u56fe\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u8f93\u5165\u591a\u4e2a\u53c2\u6570\uff0c\u5982\u4f7f\u7528Matplotlib\u5e93\u7684plot<\/code>\u51fd\u6570\u3001\u4f7f\u7528\u51fd\u6570\u53c2\u6570\u4f20\u9012\u7b49\u3002\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u7075\u6d3b\u5730\u5b9a\u5236\u56fe\u5f62\u7684\u5916\u89c2\u548c\u6570\u636e\u5c55\u793a\u3002Matplotlib\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u7ed8\u56fe\u529f\u80fd\uff0c\u652f\u6301\u591a\u79cd\u56fe\u5f62\u7c7b\u578b\u548c\u9ad8\u5ea6\u81ea\u5b9a\u4e49\u7684\u9009\u9879\uff0c\u53ef\u4ee5\u6ee1\u8db3\u5404\u79cd\u7ed8\u56fe\u9700\u6c42\u3002\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u6839\u636e\u5b9e\u9645\u9700\u6c42\u9009\u62e9\u5176\u4ed6\u7ed8\u56fe\u5e93\uff0c\u5982Seaborn\u3001Plotly\u548cBokeh\u3002\u8fd9\u4e9b\u5e93\u5404\u5177\u7279\u8272\uff0c\u53ef\u4ee5\u4e3a\u6570\u636e\u53ef\u89c6\u5316\u63d0\u4f9b\u66f4\u591a\u9009\u62e9\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528\u591a\u4e2a\u53c2\u6570\u7ed8\u5236\u56fe\u5f62\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u4f7f\u7528Matplotlib\u5e93\u53ef\u4ee5\u8f7b\u677e\u7ed8\u5236\u5404\u79cd\u56fe\u5f62\u3002\u8981\u4f20\u9012\u591a\u4e2a\u53c2\u6570\uff0c\u53ef\u4ee5\u4f7f\u7528plt.plot()<\/code>\u51fd\u6570\u3002\u4f8b\u5982\uff0c\u4f60\u53ef\u4ee5\u4f20\u5165X\u8f74\u548cY\u8f74\u7684\u6570\u636e\uff0c\u4ee5\u53ca\u7ebf\u6761\u7684\u989c\u8272\u3001\u6837\u5f0f\u548c\u6807\u7b7e\u7b49\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n
import matplotlib.pyplot as plt\n\nx = [1, 2, 3, 4]\ny = [10, 15, 13, 17]\nplt.plot(x, y, color='blue', linestyle='--', label='Sample Line')\nplt.legend()\nplt.show()\n<\/code><\/pre>\n
\u5728\u7ed8\u56fe\u65f6\u5982\u4f55\u5904\u7406\u591a\u4e2a\u6570\u636e\u96c6\uff1f<\/strong>
\u7ed8\u5236\u591a\u4e2a\u6570\u636e\u96c6\u65f6\uff0c\u53ef\u4ee5\u591a\u6b21\u8c03\u7528plt.plot()<\/code>\u51fd\u6570\uff0c\u4e3a\u6bcf\u4e2a\u6570\u636e\u96c6\u4f20\u9012\u4e0d\u540c\u7684X\u548cY\u503c\u3002\u786e\u4fdd\u5728\u7ed8\u56fe\u65f6\u8bbe\u7f6e\u4e0d\u540c\u7684\u6807\u7b7e\u548c\u989c\u8272\uff0c\u4ee5\u4fbf\u533a\u5206\u3002\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n
x1 = [1, 2, 3, 4]\ny1 = [10, 15, 13, 17]\nx2 = [1, 2, 3, 4]\ny2 = [12, 18, 15, 20]\n\nplt.plot(x1, y1, color='red', label='Data Set 1')\nplt.plot(x2, y2, color='blue', label='Data Set 2')\nplt.legend()\nplt.show()\n<\/code><\/pre>\n
\u5982\u4f55\u81ea\u5b9a\u4e49\u56fe\u5f62\u7684\u6837\u5f0f\u548c\u53c2\u6570\uff1f<\/strong>
\u81ea\u5b9a\u4e49\u56fe\u5f62\u7684\u6837\u5f0f\u53ef\u4ee5\u901a\u8fc7\u5728plt.plot()<\/code>\u4e2d\u8bbe\u7f6e\u53c2\u6570\u6765\u5b9e\u73b0\u3002\u53ef\u4ee5\u8c03\u6574\u7ebf\u6761\u5bbd\u5ea6\u3001\u900f\u660e\u5ea6\u3001\u6807\u8bb0\u6837\u5f0f\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u81ea\u5b9a\u4e49\u53c2\u6570\uff1a  <\/p>\n
    \n
  • linewidth<\/code>\uff1a\u8bbe\u7f6e\u7ebf\u6761\u5bbd\u5ea6  <\/li>\n
  • alpha<\/code>\uff1a\u8bbe\u7f6e\u900f\u660e\u5ea6  <\/li>\n
  • marker<\/code>\uff1a\u8bbe\u7f6e\u6570\u636e\u70b9\u7684\u6807\u8bb0\u6837\u5f0f
    \u793a\u4f8b\u4ee3\u7801\uff1a<\/li>\n<\/ul>\n
    plt.plot(x, y, linewidth=2, alpha=0.7, marker='o')\nplt.show()\n<\/code><\/pre>\n
    \u901a\u8fc7\u8fd9\u4e9b\u53c2\u6570\uff0c\u60a8\u53ef\u4ee5\u521b\u5efa\u51fa\u7b26\u5408\u9700\u6c42\u7684\u4e2a\u6027\u5316\u56fe\u5f62\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u8fdb\u884c\u7ed8\u56fe\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u8f93\u5165\u591a\u4e2a\u53c2\u6570\uff0c\u5982\u4f7f\u7528Matplotlib\u5e93\u7684plot\u51fd\u6570\u3001\u4f7f\u7528\u51fd\u6570 […]","protected":false},"author":3,"featured_media":1161008,"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\/1160999"}],"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=1160999"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1160999\/revisions"}],"predecessor-version":[{"id":1161012,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1160999\/revisions\/1161012"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1161008"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1160999"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1160999"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1160999"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}