Commite0415f9

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Merge pull request#8836 from dstansby/log-mask

Mask invalid values by default when setting log scale

2 parents30cdd23 +a002f96 commite0415f9Copy full SHA for e0415f9

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+100

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+100

-73

lines changed

Lines changed: 8 additions & 0 deletions

Original file line number	Diff line number	Diff line change
`@@ -0,0 +1,8 @@`
	`1`	`+Default behavior of log scales changed to mask <= 0 values`
	`2`	+``````````````````````````````````````````````````````````
	`3`	`+`
	`4`	+Calling `matplotlib.axes.Axes.set_xscale` or `matplotlib.axes.Axes.set_yscale`
	`5`	`+now uses 'mask' as the default method to handle invalid values (as opposed to`
	`6`	`+'clip'). This means that any values <= 0 on a log scale will not be shown.`
	`7`	`+`
	`8`	`+Previously they were clipped to a very small number and shown.`

Lines changed: 4 additions & 2 deletions

Original file line number	Diff line number	Diff line change
`@@ -1618,7 +1618,6 @@ def semilogx(self, args, *kwargs):`
`1618`	`1618`	`self.cla()`
`1619`	`1619`	`d= {'basex':kwargs.pop('basex',10),`
`1620`	`1620`	`'subsx':kwargs.pop('subsx',None),`
`1621`		`-'nonposx':kwargs.pop('nonposx','mask'),`
`1622`	`1621`	`}`
`1623`	`1622`
`1624`	`1623`	`self.set_xscale('log',**d)`
`@@ -1669,7 +1668,6 @@ def semilogy(self, args, *kwargs):`
`1669`	`1668`	`self.cla()`
`1670`	`1669`	`d= {'basey':kwargs.pop('basey',10),`
`1671`	`1670`	`'subsy':kwargs.pop('subsy',None),`
`1672`		`-'nonposy':kwargs.pop('nonposy','mask'),`
`1673`	`1671`	`}`
`1674`	`1672`	`self.set_yscale('log',**d)`
`1675`	`1673`	`b=self._hold`
`@@ -2793,6 +2791,10 @@ def errorbar(self, x, y, yerr=None, xerr=None,`
`2793`	`2791`
`2794`	`2792`	`%(Line2D)s`
`2795`	`2793`
	`2794`	`+ Notes`
	`2795`	`+ -----`
	`2796`	`+ Error bars with negative values will not be shown when plotted on a`
	`2797`	`+ logarithmic axis.`
`2796`	`2798`	`"""`
`2797`	`2799`	`kwargs=cbook.normalize_kwargs(kwargs,_alias_map)`
`2798`	`2800`	`# anything that comes in as 'None', drop so the default thing`

Lines changed: 4 additions & 4 deletions

Original file line number	Diff line number	Diff line change
`@@ -2961,10 +2961,10 @@ def set_xscale(self, value, **kwargs):`
`2961`	`2961`
`2962`	`2962`	`matplotlib.scale.LogisticTransform : logit transform`
`2963`	`2963`	`"""`
`2964`		`-# If the scale is being set to log,clip nonposx to prevent headaches`
	`2964`	`+# If the scale is being set to log,mask nonposx to prevent headaches`
`2965`	`2965`	`# around zero`
`2966`	`2966`	`ifvalue.lower()=='log'and'nonposx'notinkwargs:`
`2967`		`-kwargs['nonposx']='clip'`
	`2967`	`+kwargs['nonposx']='mask'`
`2968`	`2968`
`2969`	`2969`	`g=self.get_shared_x_axes()`
`2970`	`2970`	`foraxing.get_siblings(self):`
`@@ -3255,10 +3255,10 @@ def set_yscale(self, value, **kwargs):`
`3255`	`3255`
`3256`	`3256`	`matplotlib.scale.LogisticTransform : logit transform`
`3257`	`3257`	`"""`
`3258`		`-# If the scale is being set to log,clip nonposy to prevent headaches`
	`3258`	`+# If the scale is being set to log,mask nonposy to prevent headaches`
`3259`	`3259`	`# around zero`
`3260`	`3260`	`ifvalue.lower()=='log'and'nonposy'notinkwargs:`
`3261`		`-kwargs['nonposy']='clip'`
	`3261`	`+kwargs['nonposy']='mask'`
`3262`	`3262`
`3263`	`3263`	`g=self.get_shared_y_axes()`
`3264`	`3264`	`foraxing.get_siblings(self):`

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