{"id":1178206,"date":"2025-01-15T18:07:54","date_gmt":"2025-01-15T10:07:54","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1178206.html"},"modified":"2025-01-15T18:07:57","modified_gmt":"2025-01-15T10:07:57","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e5%81%9a%e7%ae%80%e5%8d%95%e5%9b%be%e5%bd%a2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1178206.html","title":{"rendered":"\u5982\u4f55\u7528python\u505a\u7b80\u5355\u56fe\u5f62"},"content":{"rendered":"

\"\u5982\u4f55\u7528python\u505a\u7b80\u5355\u56fe\u5f62\"<\/p>\n

\u8981\u7528Python\u505a\u7b80\u5355\u56fe\u5f62\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u56fe\u5f62\u5e93\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u662fmatplotlib<\/code>\u3001seaborn<\/code>\u548cplotly<\/code>\u3002\u901a\u8fc7\u4f7f\u7528matplotlib\u5e93\u3001\u638c\u63e1\u57fa\u672c\u7684\u7ed8\u56fe\u51fd\u6570\u3001\u7406\u89e3\u56fe\u5f62\u7684\u81ea\u5b9a\u4e49\u9009\u9879<\/strong>\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u521b\u5efa\u5404\u79cd\u7b80\u5355\u56fe\u5f62\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u4f7f\u7528matplotlib\u5e93\u8be6\u7ec6\u63cf\u8ff0\uff1a<\/p>\n<\/p>\n

\u4e00\u3001\u5b89\u88c5matplotlib\u5e93<\/h3>\n<\/p>\n

\u9996\u5148\uff0c\u4f60\u9700\u8981\u5b89\u88c5matplotlib<\/code>\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
\u4e8c\u3001\u521b\u5efa\u57fa\u672c\u7684\u56fe\u5f62<\/h3>\n<\/p>\n
1\u3001\u7ed8\u5236\u6298\u7ebf\u56fe<\/h4>\n<\/p>\n
\u6298\u7ebf\u56fe\u662f\u6700\u7b80\u5355\u548c\u6700\u5e38\u7528\u7684\u56fe\u5f62\u4e4b\u4e00\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u57fa\u672c\u7684\u6298\u7ebf\u56fe\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
\u521b\u5efa\u6298\u7ebf\u56fe<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('\u6298\u7ebf\u56fe\u793a\u4f8b')<\/p>\n
plt.xlabel('X\u8f74')<\/p>\n
plt.ylabel('Y\u8f74')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u7ed8\u5236\u6563\u70b9\u56fe<\/h4>\n<\/p>\n
\u6563\u70b9\u56fe\u7528\u4e8e\u663e\u793a\u4e24\u4e2a\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u57fa\u672c\u7684\u6563\u70b9\u56fe\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
\u521b\u5efa\u6563\u70b9\u56fe<\/strong><\/h2>\n
plt.scatter(x, y)<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('\u6563\u70b9\u56fe\u793a\u4f8b')<\/p>\n
plt.xlabel('X\u8f74')<\/p>\n
plt.ylabel('Y\u8f74')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u56fe\u5f62\u81ea\u5b9a\u4e49\u9009\u9879<\/h3>\n<\/p>\n
matplotlib\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u81ea\u5b9a\u4e49\u9009\u9879\uff0c\u53ef\u4ee5\u8ba9\u4f60\u7cbe\u7ec6\u63a7\u5236\u56fe\u5f62\u7684\u5916\u89c2\u3002<\/p>\n<\/p>\n
1\u3001\u6dfb\u52a0\u7f51\u683c\u7ebf<\/h4>\n<\/p>\n
\u7f51\u683c\u7ebf\u53ef\u4ee5\u5e2e\u52a9\u66f4\u5bb9\u6613\u5730\u8bfb\u53d6\u56fe\u5f62\u6570\u636e\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
\u521b\u5efa\u6298\u7ebf\u56fe<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('\u6298\u7ebf\u56fe\u793a\u4f8b')<\/p>\n
plt.xlabel('X\u8f74')<\/p>\n
plt.ylabel('Y\u8f74')<\/p>\n
\u6dfb\u52a0\u7f51\u683c\u7ebf<\/strong><\/h2>\n
plt.grid(True)<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bbe\u7f6e\u7ebf\u6761\u6837\u5f0f\u548c\u989c\u8272<\/h4>\n<\/p>\n
\u4f60\u53ef\u4ee5\u901a\u8fc7linestyle<\/code>\u548ccolor<\/code>\u53c2\u6570\u6765\u66f4\u6539\u7ebf\u6761\u7684\u6837\u5f0f\u548c\u989c\u8272\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
\u521b\u5efa\u6298\u7ebf\u56fe<\/strong><\/h2>\n
plt.plot(x, y, linestyle='--', color='g')<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('\u81ea\u5b9a\u4e49\u6298\u7ebf\u56fe\u793a\u4f8b')<\/p>\n
plt.xlabel('X\u8f74')<\/p>\n
plt.ylabel('Y\u8f74')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u4f7f\u7528\u5b50\u56fe<\/h3>\n<\/p>\n
matplotlib\u5141\u8bb8\u4f60\u5728\u4e00\u4e2a\u7a97\u53e3\u4e2d\u7ed8\u5236\u591a\u4e2a\u5b50\u56fe\uff0c\u8fd9\u5bf9\u4e8e\u6bd4\u8f83\u4e0d\u540c\u7684\u6570\u636e\u96c6\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y1 = [2, 3, 5, 7, 11]<\/p>\n
y2 = [1, 4, 6, 8, 10]<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u5305\u542b2\u4e2a\u5b50\u56fe\u7684\u56fe\u5f62\u7a97\u53e3<\/strong><\/h2>\n
fig, (ax1, ax2) = plt.subplots(2, 1)<\/p>\n
\u7ed8\u5236\u7b2c\u4e00\u4e2a\u5b50\u56fe<\/strong><\/h2>\n
ax1.plot(x, y1)<\/p>\n
ax1.set_title('\u5b50\u56fe1')<\/p>\n
ax1.set_xlabel('X\u8f74')<\/p>\n
ax1.set_ylabel('Y1\u8f74')<\/p>\n
\u7ed8\u5236\u7b2c\u4e8c\u4e2a\u5b50\u56fe<\/strong><\/h2>\n
ax2.plot(x, y2)<\/p>\n
ax2.set_title('\u5b50\u56fe2')<\/p>\n
ax2.set_xlabel('X\u8f74')<\/p>\n
ax2.set_ylabel('Y2\u8f74')<\/p>\n
\u8c03\u6574\u5e03\u5c40<\/strong><\/h2>\n
plt.tight_layout()<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u4fdd\u5b58\u56fe\u5f62<\/h3>\n<\/p>\n
\u4f60\u53ef\u4ee5\u4f7f\u7528savefig<\/code>\u51fd\u6570\u5c06\u56fe\u5f62\u4fdd\u5b58\u4e3a\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
\u521b\u5efa\u6298\u7ebf\u56fe<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('\u6298\u7ebf\u56fe\u793a\u4f8b')<\/p>\n
plt.xlabel('X\u8f74')<\/p>\n
plt.ylabel('Y\u8f74')<\/p>\n
\u4fdd\u5b58\u56fe\u5f62<\/strong><\/h2>\n
plt.savefig('line_plot.png')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u7ed8\u5236\u5176\u4ed6\u7c7b\u578b\u7684\u56fe\u5f62<\/h3>\n<\/p>\n
\u9664\u4e86\u6298\u7ebf\u56fe\u548c\u6563\u70b9\u56fe\uff0cmatplotlib\u8fd8\u652f\u6301\u5176\u4ed6\u7c7b\u578b\u7684\u56fe\u5f62\uff0c\u5982\u67f1\u72b6\u56fe\u3001\u997c\u56fe\u3001\u76f4\u65b9\u56fe\u7b49\u3002<\/p>\n<\/p>\n
1\u3001\u7ed8\u5236\u67f1\u72b6\u56fe<\/h4>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
labels = ['A', 'B', 'C', 'D']<\/p>\n
values = [10, 20, 15, 25]<\/p>\n
\u521b\u5efa\u67f1\u72b6\u56fe<\/strong><\/h2>\n
plt.bar(labels, values)<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('\u67f1\u72b6\u56fe\u793a\u4f8b')<\/p>\n
plt.xlabel('\u7c7b\u522b')<\/p>\n
plt.ylabel('\u503c')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u7ed8\u5236\u997c\u56fe<\/h4>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
labels = ['A', 'B', 'C', 'D']<\/p>\n
sizes = [10, 20, 15, 25]<\/p>\n
\u521b\u5efa\u997c\u56fe<\/strong><\/h2>\n
plt.pie(sizes, labels=labels, autopct='%1.1f%%')<\/p>\n
\u6dfb\u52a0\u6807\u9898<\/strong><\/h2>\n
plt.title('\u997c\u56fe\u793a\u4f8b')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u7ed8\u5236\u76f4\u65b9\u56fe<\/h4>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
data = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5]<\/p>\n
\u521b\u5efa\u76f4\u65b9\u56fe<\/strong><\/h2>\n
plt.hist(data, bins=5, edgecolor='black')<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('\u76f4\u65b9\u56fe\u793a\u4f8b')<\/p>\n
plt.xlabel('\u503c')<\/p>\n
plt.ylabel('\u9891\u7387')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u4f7f\u7528seaborn\u5e93<\/h3>\n<\/p>\n
\u9664\u4e86matplotlib\uff0c\u4f60\u8fd8\u53ef\u4ee5\u4f7f\u7528seaborn\u5e93\u6765\u521b\u5efa\u66f4\u52a0\u7f8e\u89c2\u7684\u56fe\u5f62\u3002Seaborn\u662f\u57fa\u4e8ematplotlib\u6784\u5efa\u7684\u9ad8\u7ea7\u63a5\u53e3\uff0c\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u7684\u56fe\u5f62\u9009\u9879\u548c\u9ed8\u8ba4\u6837\u5f0f\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5seaborn\u5e93<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u4f60\u9700\u8981\u5b89\u88c5seaborn\u5e93\uff1a<\/p>\n<\/p>\n
pip install seaborn<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u7ed8\u5236\u6298\u7ebf\u56fe<\/h4>\n<\/p>\n
import seaborn as sns<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
\u521b\u5efa\u6298\u7ebf\u56fe<\/strong><\/h2>\n
sns.lineplot(x=x, y=y)<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('Seaborn\u6298\u7ebf\u56fe\u793a\u4f8b')<\/p>\n
plt.xlabel('X\u8f74')<\/p>\n
plt.ylabel('Y\u8f74')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u7ed8\u5236\u6563\u70b9\u56fe<\/h4>\n<\/p>\n
import seaborn as sns<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
\u521b\u5efa\u6563\u70b9\u56fe<\/strong><\/h2>\n
sns.scatterplot(x=x, y=y)<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('Seaborn\u6563\u70b9\u56fe\u793a\u4f8b')<\/p>\n
plt.xlabel('X\u8f74')<\/p>\n
plt.ylabel('Y\u8f74')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516b\u3001\u4f7f\u7528plotly\u5e93<\/h3>\n<\/p>\n
plotly\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u7ed8\u56fe\u5e93\uff0c\u652f\u6301\u4ea4\u4e92\u5f0f\u56fe\u5f62\u3002\u5b83\u975e\u5e38\u9002\u5408\u521b\u5efa\u9700\u8981\u7528\u6237\u4ea4\u4e92\u7684\u56fe\u5f62\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5plotly\u5e93<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u4f60\u9700\u8981\u5b89\u88c5plotly\u5e93\uff1a<\/p>\n<\/p>\n
pip install plotly<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u7ed8\u5236\u6298\u7ebf\u56fe<\/h4>\n<\/p>\n
import plotly.graph_objects as go<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
\u521b\u5efa\u6298\u7ebf\u56fe<\/strong><\/h2>\n
fig = go.Figure(data=go.Scatter(x=x, y=y, mode='lines'))<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
fig.update_layout(title='Plotly\u6298\u7ebf\u56fe\u793a\u4f8b', xaxis_title='X\u8f74', yaxis_title='Y\u8f74')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
fig.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u7ed8\u5236\u6563\u70b9\u56fe<\/h4>\n<\/p>\n
import plotly.graph_objects as go<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
\u521b\u5efa\u6563\u70b9\u56fe<\/strong><\/h2>\n
fig = go.Figure(data=go.Scatter(x=x, y=y, mode='markers'))<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
fig.update_layout(title='Plotly\u6563\u70b9\u56fe\u793a\u4f8b', xaxis_title='X\u8f74', yaxis_title='Y\u8f74')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
fig.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e5d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
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Python\u4e2d\u6709\u54ea\u4e9b\u5e93\u53ef\u4ee5\u7528\u4e8e\u7ed8\u5236\u56fe\u5f62\uff1f<\/strong>
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