Note

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hexbin(x, y, C)#

Make a 2D hexagonal binning plot of points x, y.

Seehexbin.

hexbin
importmatplotlib.pyplotaspltimportnumpyasnpplt.style.use('_mpl-gallery-nogrid')# make data: correlated + noisenp.random.seed(1)x=np.random.randn(5000)y=1.2*x+np.random.randn(5000)/3# plot:fig,ax=plt.subplots()ax.hexbin(x,y,gridsize=20)ax.set(xlim=(-2,2),ylim=(-3,3))plt.show()

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