Note

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hist2d(x, y)#

Make a 2D histogram plot.

Seehist2d.

hist2d
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.hist2d(x,y,bins=(np.arange(-3,3,0.1),np.arange(-3,3,0.1)))ax.set(xlim=(-2,2),ylim=(-3,3))plt.show()

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