{"id":1031800,"date":"2024-12-31T11:28:24","date_gmt":"2024-12-31T03:28:24","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1031800.html"},"modified":"2024-12-31T11:28:26","modified_gmt":"2024-12-31T03:28:26","slug":"python%e5%b0%8f%e6%8f%90%e7%90%b4%e5%9b%be%e5%a6%82%e4%bd%95%e8%ae%be%e7%bd%ae%e9%a2%9c%e8%89%b2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1031800.html","title":{"rendered":"python\u5c0f\u63d0\u7434\u56fe\u5982\u4f55\u8bbe\u7f6e\u989c\u8272"},"content":{"rendered":"

\"python\u5c0f\u63d0\u7434\u56fe\u5982\u4f55\u8bbe\u7f6e\u989c\u8272\"<\/p>\n

Python\u5c0f\u63d0\u7434\u56fe\u8bbe\u7f6e\u989c\u8272\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528seaborn\u5e93\u3001\u8bbe\u7f6e\u989c\u8272\u53c2\u6570\u3001\u4f7f\u7528\u8c03\u8272\u677f<\/strong><\/p>\n<\/p>\n

Python\u4e2d\u7684\u5c0f\u63d0\u7434\u56fe\u662f\u4e00\u79cd\u7ed3\u5408\u4e86\u7bb1\u7ebf\u56fe\u548c\u6838\u5bc6\u5ea6\u4f30\u8ba1\u56fe\u7684\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u5c55\u793a\u6570\u636e\u5206\u5e03\u7684\u5f62\u6001\u3002\u5728\u7ed8\u5236\u5c0f\u63d0\u7434\u56fe\u65f6\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u989c\u8272\u6765\u66f4\u597d\u5730\u533a\u5206\u4e0d\u540c\u7684\u7c7b\u522b\u6216\u53d8\u91cf\u3002\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528seaborn\u5e93\u7ed8\u5236\u5c0f\u63d0\u7434\u56fe\u5e76\u8bbe\u7f6e\u989c\u8272\uff0c\u5305\u62ec\u4f7f\u7528\u989c\u8272\u53c2\u6570\u548c\u8c03\u8272\u677f\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b89\u88c5\u548c\u5bfc\u5165\u5e93<\/h2>\n<\/p>\n

\u5728\u5f00\u59cb\u7ed8\u5236\u5c0f\u63d0\u7434\u56fe\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u786e\u4fdd\u5b89\u88c5\u5e76\u5bfc\u5165\u6240\u9700\u7684\u5e93\uff0c\u5305\u62ecseaborn\u548cmatplotlib\u3002\u4ee5\u4e0b\u662f\u5b89\u88c5\u548c\u5bfc\u5165\u8fd9\u4e9b\u5e93\u7684\u4ee3\u7801\uff1a<\/p>\n<\/p>\n

# \u5b89\u88c5seaborn\u548cmatplotlib<\/p>\n
!pip install seaborn matplotlib<\/p>\n
\u5bfc\u5165\u6240\u9700\u7684\u5e93<\/strong><\/h2>\n
import seaborn as sns<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u52a0\u8f7d\u793a\u4f8b\u6570\u636e<\/h2>\n<\/p>\n
\u4e3a\u4e86\u6f14\u793a\u5982\u4f55\u8bbe\u7f6e\u5c0f\u63d0\u7434\u56fe\u7684\u989c\u8272\uff0c\u6211\u4eec\u5c06\u4f7f\u7528seaborn\u81ea\u5e26\u7684\u793a\u4f8b\u6570\u636e\u96c6\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u201ctips\u201d\u6570\u636e\u96c6\uff0c\u5b83\u5305\u542b\u9910\u9986\u5c0f\u8d39\u7684\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u52a0\u8f7d\u6570\u636e\u96c6\u7684\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
# \u52a0\u8f7d\u793a\u4f8b\u6570\u636e\u96c6<\/p>\n
tips = sns.load_dataset("tips")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u7ed8\u5236\u57fa\u672c\u5c0f\u63d0\u7434\u56fe<\/h2>\n<\/p>\n
\u5728\u8bbe\u7f6e\u989c\u8272\u4e4b\u524d\uff0c\u6211\u4eec\u5148\u7ed8\u5236\u4e00\u4e2a\u57fa\u672c\u7684\u5c0f\u63d0\u7434\u56fe\u3002\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528seaborn\u5e93\u7ed8\u5236\u5c0f\u63d0\u7434\u56fe\uff1a<\/p>\n<\/p>\n
# \u7ed8\u5236\u57fa\u672c\u5c0f\u63d0\u7434\u56fe<\/p>\n
sns.violinplot(x="day", y="total_bill", data=tips)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u8bbe\u7f6e\u5c0f\u63d0\u7434\u56fe\u7684\u989c\u8272<\/h2>\n<\/p>\n
1\u3001\u4f7f\u7528\u989c\u8272\u53c2\u6570\u8bbe\u7f6e\u989c\u8272<\/h3>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528violinplot<\/code>\u51fd\u6570\u4e2d\u7684palette<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u5c0f\u63d0\u7434\u56fe\u7684\u989c\u8272\u3002palette<\/code>\u53c2\u6570\u63a5\u53d7\u591a\u79cd\u7c7b\u578b\u7684\u8f93\u5165\uff0c\u5305\u62ec\u5355\u4e00\u989c\u8272\u3001\u989c\u8272\u5217\u8868\u548c\u8c03\u8272\u677f\u540d\u79f0\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
\u793a\u4f8b1\uff1a\u4f7f\u7528\u5355\u4e00\u989c\u8272<\/h4>\n<\/p>\n
# \u4f7f\u7528\u5355\u4e00\u989c\u8272\u8bbe\u7f6e\u5c0f\u63d0\u7434\u56fe<\/p>\n
sns.violinplot(x="day", y="total_bill", data=tips, color="skyblue")<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u793a\u4f8b2\uff1a\u4f7f\u7528\u989c\u8272\u5217\u8868<\/h4>\n<\/p>\n
# \u4f7f\u7528\u989c\u8272\u5217\u8868\u8bbe\u7f6e\u5c0f\u63d0\u7434\u56fe<\/p>\n
colors = ["skyblue", "lightgreen", "coral", "lightpink"]<\/p>\n
sns.violinplot(x="day", y="total_bill", data=tips, palette=colors)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u793a\u4f8b3\uff1a\u4f7f\u7528\u8c03\u8272\u677f\u540d\u79f0<\/h4>\n<\/p>\n
# \u4f7f\u7528\u8c03\u8272\u677f\u540d\u79f0\u8bbe\u7f6e\u5c0f\u63d0\u7434\u56fe<\/p>\n
sns.violinplot(x="day", y="total_bill", data=tips, palette="muted")<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528\u8c03\u8272\u677f\u51fd\u6570\u8bbe\u7f6e\u989c\u8272<\/h3>\n<\/p>\n
seaborn\u63d0\u4f9b\u4e86\u591a\u79cd\u8c03\u8272\u677f\u51fd\u6570\uff0c\u53ef\u4ee5\u751f\u6210\u4e0d\u540c\u98ce\u683c\u548c\u989c\u8272\u6570\u91cf\u7684\u8c03\u8272\u677f\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528color_palette<\/code>\u51fd\u6570\u6765\u521b\u5efa\u81ea\u5b9a\u4e49\u8c03\u8272\u677f\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
\u793a\u4f8b1\uff1a\u4f7f\u7528\u81ea\u5b9a\u4e49\u8c03\u8272\u677f<\/h4>\n<\/p>\n
# \u4f7f\u7528\u81ea\u5b9a\u4e49\u8c03\u8272\u677f\u8bbe\u7f6e\u5c0f\u63d0\u7434\u56fe<\/p>\n
custom_palette = sns.color_palette(["#3498db", "#2ecc71", "#e74c3c", "#9b59b6"])<\/p>\n
sns.violinplot(x="day", y="total_bill", data=tips, palette=custom_palette)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u793a\u4f8b2\uff1a\u4f7f\u7528\u9884\u5b9a\u4e49\u8c03\u8272\u677f<\/h4>\n<\/p>\n
# \u4f7f\u7528\u9884\u5b9a\u4e49\u8c03\u8272\u677f\u8bbe\u7f6e\u5c0f\u63d0\u7434\u56fe<\/p>\n
sns.violinplot(x="day", y="total_bill", data=tips, palette="Set2")<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u8c03\u6574\u5c0f\u63d0\u7434\u56fe\u7684\u5176\u4ed6\u53c2\u6570<\/h2>\n<\/p>\n
\u9664\u4e86\u8bbe\u7f6e\u989c\u8272\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u8c03\u6574\u5c0f\u63d0\u7434\u56fe\u7684\u5176\u4ed6\u53c2\u6570\uff0c\u4ee5\u8fdb\u4e00\u6b65\u7f8e\u5316\u56fe\u8868\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u8bbe\u7f6e\u5c0f\u63d0\u7434\u7684\u5185\u5d4c\u56fe\u5f62\u3001\u5bbd\u5ea6\u3001\u7ebf\u6761\u989c\u8272\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
1\u3001\u8bbe\u7f6e\u5185\u5d4c\u56fe\u5f62<\/h3>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528inner<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u5c0f\u63d0\u7434\u56fe\u7684\u5185\u5d4c\u56fe\u5f62\u3002\u5185\u5d4c\u56fe\u5f62\u53ef\u4ee5\u662f\u201cbox\u201d\u3001\u201cquartile\u201d\u3001\u201cpoint\u201d\u6216\u201cstick\u201d\u3002\u4ee5\u4e0b\u662f\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
# \u8bbe\u7f6e\u5185\u5d4c\u56fe\u5f62\u4e3a\u7bb1\u7ebf\u56fe<\/p>\n
sns.violinplot(x="day", y="total_bill", data=tips, palette="Set2", inner="box")<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bbe\u7f6e\u5c0f\u63d0\u7434\u7684\u5bbd\u5ea6<\/h3>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528width<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u5c0f\u63d0\u7434\u56fe\u7684\u5bbd\u5ea6\u3002\u4ee5\u4e0b\u662f\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
# \u8bbe\u7f6e\u5c0f\u63d0\u7434\u7684\u5bbd\u5ea6<\/p>\n
sns.violinplot(x="day", y="total_bill", data=tips, palette="Set2", width=0.8)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u8bbe\u7f6e\u7ebf\u6761\u989c\u8272<\/h3>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528linewidth<\/code>\u548cedgecolor<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u5c0f\u63d0\u7434\u56fe\u7684\u7ebf\u6761\u989c\u8272\u548c\u5bbd\u5ea6\u3002\u4ee5\u4e0b\u662f\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
# \u8bbe\u7f6e\u7ebf\u6761\u989c\u8272\u548c\u5bbd\u5ea6<\/p>\n
sns.violinplot(x="day", y="total_bill", data=tips, palette="Set2", linewidth=2, edgecolor="gray")<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u7ed3\u5408\u5176\u4ed6\u56fe\u5f62<\/h2>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u5c0f\u63d0\u7434\u56fe\u4e0e\u5176\u4ed6\u56fe\u5f62\u7ed3\u5408\u4f7f\u7528\uff0c\u4ee5\u66f4\u5168\u9762\u5730\u5c55\u793a\u6570\u636e\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u5c0f\u63d0\u7434\u56fe\u4e0e\u7bb1\u7ebf\u56fe\u7ed3\u5408\uff0c\u6216\u8005\u5728\u5c0f\u63d0\u7434\u56fe\u4e0a\u6dfb\u52a0\u6563\u70b9\u56fe\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
1\u3001\u7ed3\u5408\u7bb1\u7ebf\u56fe<\/h3>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528ax<\/code>\u53c2\u6570\u5c06\u5c0f\u63d0\u7434\u56fe\u548c\u7bb1\u7ebf\u56fe\u7ed8\u5236\u5728\u540c\u4e00\u5f20\u56fe\u8868\u4e0a\u3002\u4ee5\u4e0b\u662f\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
# \u7ed8\u5236\u5c0f\u63d0\u7434\u56fe<\/p>\n
ax = sns.violinplot(x="day", y="total_bill", data=tips, palette="Set2", inner=None)<\/p>\n
\u7ed8\u5236\u7bb1\u7ebf\u56fe<\/strong><\/h2>\n
sns.boxplot(x="day", y="total_bill", data=tips, width=0.2, ax=ax, palette="Set2")<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5728\u5c0f\u63d0\u7434\u56fe\u4e0a\u6dfb\u52a0\u6563\u70b9\u56fe<\/h3>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528stripplot<\/code>\u51fd\u6570\u5728\u5c0f\u63d0\u7434\u56fe\u4e0a\u6dfb\u52a0\u6563\u70b9\u56fe\u3002\u4ee5\u4e0b\u662f\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
# \u7ed8\u5236\u5c0f\u63d0\u7434\u56fe<\/p>\n
sns.violinplot(x="day", y="total_bill", data=tips, palette="Set2", inner=None)<\/p>\n
\u6dfb\u52a0\u6563\u70b9\u56fe<\/strong><\/h2>\n
sns.stripplot(x="day", y="total_bill", data=tips, color="black", size=4, jitter=True)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u603b\u7ed3<\/h2>\n<\/p>\n
\u672c\u6587\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528seaborn\u5e93\u7ed8\u5236\u5c0f\u63d0\u7434\u56fe\u5e76\u8bbe\u7f6e\u989c\u8272\uff0c\u5305\u62ec\u4f7f\u7528\u989c\u8272\u53c2\u6570\u548c\u8c03\u8272\u677f\u7684\u65b9\u6cd5\u3002\u6b64\u5916\uff0c\u6211\u4eec\u8fd8\u5c55\u793a\u4e86\u5982\u4f55\u8c03\u6574\u5c0f\u63d0\u7434\u56fe\u7684\u5176\u4ed6\u53c2\u6570\u4ee5\u53ca\u5c06\u5c0f\u63d0\u7434\u56fe\u4e0e\u5176\u4ed6\u56fe\u5f62\u7ed3\u5408\u4f7f\u7528\u3002\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u60a8\u53ef\u4ee5\u521b\u5efa\u66f4\u52a0\u7f8e\u89c2\u548c\u6613\u4e8e\u7406\u89e3\u7684\u5c0f\u63d0\u7434\u56fe\uff0c\u4ece\u800c\u66f4\u597d\u5730\u5c55\u793a\u6570\u636e\u5206\u5e03\u7684\u5f62\u6001\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u60a8\u5728\u6570\u636e\u53ef\u89c6\u5316\u65b9\u9762\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u4e3a\u5c0f\u63d0\u7434\u56fe\u9009\u62e9\u4e0d\u540c\u7684\u914d\u8272\u65b9\u6848\uff1f<\/strong>
\u5728Python\u4e2d\u4f7f\u7528\u5c0f\u63d0\u7434\u56fe\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7seaborn<\/code>\u548cmatplotlib<\/code>\u5e93\u8f7b\u677e\u8bbe\u7f6e\u914d\u8272\u65b9\u6848\u3002\u53ef\u4ee5\u4f7f\u7528palette<\/code>\u53c2\u6570\u6765\u9009\u62e9\u4e0d\u540c\u7684\u989c\u8272\u8c03\u8272\u677f\uff0c\u4f8b\u5982'viridis'<\/code>\u3001'plasma'<\/code>\u6216\u81ea\u5b9a\u4e49\u989c\u8272\u5217\u8868\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u6839\u636e\u6570\u636e\u7684\u7279\u70b9\u548c\u53ef\u89c6\u5316\u7684\u9700\u6c42\u8c03\u6574\u5c0f\u63d0\u7434\u56fe\u7684\u989c\u8272\uff0c\u4f7f\u5176\u66f4\u52a0\u7f8e\u89c2\u548c\u6613\u4e8e\u7406\u89e3\u3002<\/p>\n
\u5982\u4f55\u5728\u5c0f\u63d0\u7434\u56fe\u4e2d\u4e3a\u4e0d\u540c\u7684\u6570\u636e\u7c7b\u522b\u8bbe\u7f6e\u4e0d\u540c\u7684\u989c\u8272\uff1f<\/strong>
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