How to use 'seaborn correlation heatmap' in Python

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25 def plot_heatmap(ax):
26     ax.hexbin(txx[:, 0], txx[:, 1],
27               cmap=sns.cubehelix_palette(as_cmap=True),
28               mincnt=1,
29               bins='log'
30               )
31     ax.set_xlabel("tIC 1", fontsize=16)
32     ax.set_ylabel("tIC 2", fontsize=16)

25	def plot_heatmap(ax):
26	ax.hexbin(txx[:, 0], txx[:, 1],
27	cmap=sns.cubehelix_palette(as_cmap=True),
28	mincnt=1,
29	bins='log'
30	)
31	ax.set_xlabel("tIC 1", fontsize=16)
32	ax.set_ylabel("tIC 2", fontsize=16)

How to use 'seaborn correlation heatmap' in Python

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