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Commit509dc1f

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Don't force axes limits in hist2d. (matplotlib#30634)
Standard autoscaling works just fine there.
1 parentf31a12b commit509dc1f

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-9
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3 files changed

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hist2d no longer forces axes limits
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Previously, `.Axes.hist2d` would force the axes x and y limits to the extents
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of the histogrammed data, ignoring any other artists. `.Axes.hist2d` now
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behaves similarly to `.Axes.imshow`: axes limits are updated to fit the data,
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but autoscaling is not otherwise disabled.

‎lib/matplotlib/axes/_axes.py‎

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@@ -7772,13 +7772,15 @@ def hist2d(self, x, y, bins=10, range=None, density=False, weights=None,
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Notes
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-----
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- Currently ``hist2d`` calculates its own axis limits, and any limits
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previously set are ignored.
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- Rendering the histogram with a logarithmic color scale is
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accomplished by passing a `.colors.LogNorm` instance to the *norm*
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keyword argument. Likewise, power-law normalization (similar
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in effect to gamma correction) can be accomplished with
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`.colors.PowerNorm`.
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Rendering the histogram with a logarithmic color scale is accomplished
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by passing a `.colors.LogNorm` instance to the *norm* keyword
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argument. Likewise, power-law normalization (similar in effect to gamma
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correction) can be accomplished with `.colors.PowerNorm`.
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.. versionchanged:: 3.11
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Previously, `~.Axes.hist2d` would force the axes limits to match the
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extents of the histogram; now, autoscaling also takes other plot
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elements into account.
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"""
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h,xedges,yedges=np.histogram2d(x,y,bins=bins,range=range,
@@ -7790,8 +7792,6 @@ def hist2d(self, x, y, bins=10, range=None, density=False, weights=None,
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h[h>cmax]=None
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pc=self.pcolormesh(xedges,yedges,h.T,**kwargs)
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self.set_xlim(xedges[0],xedges[-1])
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self.set_ylim(yedges[0],yedges[-1])
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returnh,xedges,yedges,pc
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‎lib/matplotlib/tests/test_axes.py‎

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@@ -2837,6 +2837,16 @@ def test_hist2d_density():
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obj.hist2d(x,y,density=True)
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@mpl.style.context("mpl20")
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deftest_hist2d_autolimits():
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x,y=np.random.random((2,100))
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ax=plt.figure().add_subplot()
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ax.hist2d(x,y)
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assertax.get_xlim()== (x.min(),x.max())
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assertax.get_ylim()== (y.min(),y.max())
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assertax.get_autoscale_on()# Autolimits have not been disabled.
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classTestScatter:
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@image_comparison(['scatter'],style='mpl20',remove_text=True)
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deftest_scatter_plot(self):

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