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Add description about density and tests

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`@@ -6878,6 +6878,9 @@ def hist2d(self, x, y, bins=10, range=None, density=None, weights=None,`
`6878`	`6878`	`keyword argument. Likewise, power-law normalization (similar`
`6879`	`6879`	`in effect to gamma correction) can be accomplished with`
`6880`	`6880`	`.colors.PowerNorm`.
	`6881`	`+ - Numpy 1.15 introduced a 'density' kwarg to hist2d. Even though`
	`6882`	`+ Numpy 1.15 isn't required, 'density' kwarg is introduced`
	`6883`	+ and passed as 'normed' to ``hist2d``.
`6881`	`6884`	`"""`
`6882`	`6885`
`6883`	`6886`	`ifdensityisnotNoneandnormedisnotNone:`

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`@@ -1672,6 +1672,30 @@ def test_hist2d():`
`1672`	`1672`	`ax.hist2d("x","y",bins=10,data=data,rasterized=True)`
`1673`	`1673`
`1674`	`1674`
	`1675`	`+@pytest.mark.parametrize('density', [False,True])`
	`1676`	`+deftest_hist2d_density(density):`
	`1677`	`+# Test density kwarg`
	`1678`	`+x=np.random.randn(100)*2+5`
	`1679`	`+y=np.random.randn(100)-2`
	`1680`	`+fig=plt.figure()`
	`1681`	`+ax=fig.add_subplot(111)`
	`1682`	`+ax.hist2d(x,y,bins=10,rasterized=True,density=density)`
	`1683`	`+`
	`1684`	`+`
	`1685`	`+@pytest.mark.parametrize('normed', [False,True])`
	`1686`	`+@pytest.mark.parametrize('density', [False,True])`
	`1687`	`+deftest_hist2d_normed_density(density,normed):`
	`1688`	`+# Normed and density should not be used simultaneously`
	`1689`	`+x=np.random.randn(100)*2+5`
	`1690`	`+y=np.random.randn(100)-2`
	`1691`	`+fig=plt.figure()`
	`1692`	`+ax=fig.add_subplot(111)`
	`1693`	`+# test that kwargs normed and density cannot be set both.`
	`1694`	`+withpytest.raises(ValueError,match="kwargs 'density' and 'normed'"):`
	`1695`	`+ax.hist2d(x,y,bins=10,rasterized=True,`
	`1696`	`+density=density,normed=normed)`
	`1697`	`+`
	`1698`	`+`
`1675`	`1699`	`@image_comparison(baseline_images=['hist2d_transpose'],`
`1676`	`1700`	`remove_text=True,style='mpl20')`
`1677`	`1701`	`deftest_hist2d_transpose():`

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