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hexbin log scale is broken in matplotlib 1.2.0 #1636

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Merged
merged 3 commits into from
Jan 4, 2013
Merged

hexbin log scale is broken in matplotlib 1.2.0 #1636

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588f0e2
Closes #1636. When plotting a hexbin on a log scale, the "trick" to …
mdboom Jan 4, 2013
f1450f3
PEP8 fixes.
mdboom Jan 4, 2013
2f1fda6
Seed the random number generator in the hexbin_log test
mdboom Jan 4, 2013
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PEP8 fixes.
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@mdboom
mdboom committed Jan 4, 2013
commit f1450f34f91b5e841574765a17b086c051a1bd89
20 changes: 10 additions & 10 deletions 20 lib/matplotlib/axes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5443,7 +5443,7 @@ def errorbar(self, x, y, yerr=None, xerr=None,
lines_kw['transform'] = kwargs['transform']
if 'zorder' in kwargs:
lines_kw['zorder'] = kwargs['zorder']

# arrays fine here, they are booleans and hence not units
if not iterable(lolims):
lolims = np.asarray([lolims]*len(x), bool)
Expand Down Expand Up @@ -6442,28 +6442,28 @@ def hexbin(self, x, y, C = None, gridsize = 100, bins = None,
if xscale == 'log' or yscale == 'log':
polygons = np.expand_dims(polygon, 0) + np.expand_dims(offsets, 1)
if xscale == 'log':
polygons[:,:,0] = 10.0 ** polygons[:,:,0]
polygons[:, :, 0] = 10.0 ** polygons[:, :, 0]
xmin = 10.0 ** xmin
xmax = 10.0 ** xmax
self.set_xscale(xscale)
if yscale == 'log':
polygons[:,:,1] = 10.0 ** polygons[:,:,1]
polygons[:, :, 1] = 10.0 ** polygons[:, :, 1]
ymin = 10.0 ** ymin
ymax = 10.0 ** ymax
self.set_yscale(yscale)
collection = mcoll.PolyCollection(
polygons,
edgecolors = edgecolors,
linewidths = linewidths,
edgecolors=edgecolors,
linewidths=linewidths,
)
else:
collection = mcoll.PolyCollection(
[polygon],
edgecolors = edgecolors,
linewidths = linewidths,
offsets = offsets,
transOffset = mtransforms.IdentityTransform(),
offset_position = "data"
edgecolors=edgecolors,
linewidths=linewidths,
offsets=offsets,
transOffset=mtransforms.IdentityTransform(),
offset_position="data"
)

if isinstance(norm, mcolors.LogNorm):
Expand Down
2 changes: 1 addition & 1 deletion 2 lib/matplotlib/tests/test_axes.py
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Expand Up @@ -431,7 +431,7 @@ def test_hexbin_log():
y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n)
y = np.power(2, y * 0.5)
ax = fig.add_subplot(111)
plt.hexbin(x,y,yscale='log')
ax.hexbin(x, y, yscale='log')

@cleanup
def test_inverted_limits():
Expand Down
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