seaborn.heatmap

seaborn.heatmap是Seaborn库中的一个函数，用于绘制热力图。热力图常用于展示一组变量的相关系数矩阵或数据分布的差异情况。该函数的语法为seaborn.heatmap(data, vmin=None, vmax=None, cmap=None, center=None, robust=False, annot=None, fmt='.2g', annot_kws=None, linewidths=0, linecolor='white', cbar=True, cbar_kws=None, cbar_ax=None, square=False, xticklabels='auto', yticklabels='auto', mask=None, ax=None, **kwargs)。其中，data是要绘制的数据，vmin和vmax用于设置颜色映射的范围，cmap用于设置颜色映射的样式，center用于设置颜色映射的中心值。通过调整这些参数，可以自定义热力图的外观和显示效果。\[1\]\[2\]\[3\]
#### 引用[.reference_title]
- *1* *2* [Python可视化 | Seaborn之seaborn.heatmap()热力图](https://blog.csdn.net/m0_38090787/article/details/107827167)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [Python数据分析与机器学习12-Seaborn之Heatmap](https://blog.csdn.net/u010520724/article/details/125761187)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
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