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Fix issue #4414 #6171

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Fix issue #4414 #6171

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4914df8
Fix issue #4414
XivL Mar 16, 2016
e1961a1
Fix pep8
XivL Mar 17, 2016
4606074
fix syntax error
XivL Mar 17, 2016
c16991f
Add fix for horizontal case
XivL Mar 17, 2016
6bf99cb
Fix pep8
XivL Mar 17, 2016
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46 changes: 27 additions & 19 deletions lib/matplotlib/axes/_axes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6234,26 +6234,34 @@ def _normalize_input(inp, ename='input'):

# adopted from adjust_x/ylim part of the bar method
if orientation == 'horizontal':
xmin0 = max(_saved_bounds[0]*0.9, minimum)
xmax = self.dataLim.intervalx[1]
for m in n:
if np.sum(m) > 0: # make sure there are counts
xmin = np.amin(m[m != 0])
# filter out the 0 height bins
xmin = max(xmin*0.9, minimum) if not input_empty else minimum
xmin = min(xmin0, xmin)
self.dataLim.intervalx = (xmin, xmax)
if normed:
self.set_autoscalex_on(True)
else:
xmin0 = max(_saved_bounds[0]*0.9, minimum)
xmax = self.dataLim.intervalx[1]
for m in n:
if np.sum(m) > 0: # make sure there are counts
xmin = np.amin(m[m != 0])
# filter out the 0 height bins
xmin = max(xmin*0.9,
minimum) if not input_empty else minimum
xmin = min(xmin0, xmin)
self.dataLim.intervalx = (xmin, xmax)
elif orientation == 'vertical':
ymin0 = max(_saved_bounds[1]*0.9, minimum)
ymax = self.dataLim.intervaly[1]

for m in n:
if np.sum(m) > 0: # make sure there are counts
ymin = np.amin(m[m != 0])
# filter out the 0 height bins
ymin = max(ymin*0.9, minimum) if not input_empty else minimum
ymin = min(ymin0, ymin)
self.dataLim.intervaly = (ymin, ymax)
# If norm, autoscale axis
if normed:
self.set_autoscaley_on(True)
else:
ymin0 = max(_saved_bounds[1]*0.9, minimum)
ymax = self.dataLim.intervaly[1]
for m in n:
if np.sum(m) > 0: # make sure there are counts
ymin = np.amin(m[m != 0])
# filter out the 0 height bins
ymin = max(ymin*0.9,
minimum) if not input_empty else minimum
ymin = min(ymin0, ymin)
self.dataLim.intervaly = (ymin, ymax)

if label is None:
labels = [None]
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