import seaborn as sns
np.random.seed(0)
x=[[0.21,0.52,0.23,0.22,0.36],
[0.12,0.7,0.35,0.21,0.55],
[0.31,0.5,0.34,0.45,0.1],
[0.38,0.2,0.65,0.26,0.44],]
f, (ax1) = plt.subplots(figsize=(6,6),nrows=1)
sns.heatmap(x, annot=True, ax=ax1)

博客展示了使用Python的Seaborn库绘制热力图的代码。通过设置随机种子,定义二维数组数据,创建子图并使用`sns.heatmap`函数绘制热力图,同时添加数据标注,体现了Seaborn在数据可视化方面的应用。
import seaborn as sns
np.random.seed(0)
x=[[0.21,0.52,0.23,0.22,0.36],
[0.12,0.7,0.35,0.21,0.55],
[0.31,0.5,0.34,0.45,0.1],
[0.38,0.2,0.65,0.26,0.44],]
f, (ax1) = plt.subplots(figsize=(6,6),nrows=1)
sns.heatmap(x, annot=True, ax=ax1)

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