@@ -8185,16 +8185,25 @@ def hist(self, x, bins=10, range=None, normed=False, weights=None,
81858185 x [0 ::2 ], x [1 ::2 ] = bins , bins
81868186
81878187 if log :
8188+ if orientation == 'horizontal' :
8189+ self .set_xscale ('log' )
8190+ logbase = self .xaxis ._scale .base
8191+ else : # orientation == 'vertical'
8192+ self .set_yscale ('log' )
8193+ logbase = self .yaxis ._scale .base
8194+
81888195 # setting a minimum of 0 results in problems for log plots
81898196 if normed :
81908197 # for normed data, set to 0.1 * minimum data value
81918198 # (gives 1 full dex for the lowest filled bin)
81928199 ndata = np .array (n )
8193- minimum = (np .min (ndata [ndata > 0 ]))* 0.1
8200+ minimum = (np .min (ndata [ndata > 0 ])) / logbase
81948201 else :
81958202 # for non-normed data, set the min to 0.1, again so that
81968203 # there is 1 full dex for the lowest bin
8197- minimum = 0.1
8204+ minimum = 1.0 / logbase
8205+
8206+ y [0 ], y [- 1 ] = minimum , minimum
81988207 else :
81998208 minimum = np .min (bins )
82008209
@@ -8203,13 +8212,6 @@ def hist(self, x, bins=10, range=None, normed=False, weights=None,
82038212 elif align == 'right' :
82048213 x += 0.5 * (bins [1 ]- bins [0 ])
82058214
8206- if log :
8207- y [0 ],y [- 1 ] = minimum , minimum
8208- if orientation == 'horizontal' :
8209- self .set_xscale ('log' )
8210- else : # orientation == 'vertical'
8211- self .set_yscale ('log' )
8212-
82138215 # If fill kwarg is set, it will be passed to the patch collection,
82148216 # overriding this
82158217 fill = (histtype == 'stepfilled' )
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