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ENH: restore default ability to label some minor log ticks. #7419

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Merged
merged 1 commit into from
Nov 8, 2016
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ENH: restore default ability to label some minor log ticks. #7419

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2 changes: 1 addition & 1 deletion examples/pylab_examples/log_demo.py
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Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@
plt.subplot(223)
plt.loglog(t, 20*np.exp(-t/10.0), basex=2)
plt.grid(True)
plt.title('loglog base 4 on x')
plt.title('loglog base 2 on x')

# with errorbars: clip non-positive values
ax = plt.subplot(224)
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2 changes: 1 addition & 1 deletion lib/matplotlib/scale.py
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Expand Up @@ -306,7 +306,7 @@ def set_default_locators_and_formatters(self, axis):
axis.set_major_locator(LogLocator(self.base))
axis.set_major_formatter(LogFormatterSciNotation(self.base))
axis.set_minor_locator(LogLocator(self.base, self.subs))
axis.set_minor_formatter(NullFormatter())
axis.set_minor_formatter(LogFormatterSciNotation(self.base, self.subs))

def get_transform(self):
"""
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11 changes: 7 additions & 4 deletions lib/matplotlib/tests/test_ticker.py
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Expand Up @@ -250,13 +250,16 @@ def test_LogFormatter_sublabel():
assert np.all(show_major_labels)
_sub_labels(ax.xaxis, subs=[])

# axis range at 2 to 3 decades, label sub 3
# For the next two, if the numdec threshold in LogFormatter.set_locs
# were 3, then the label sub would be 3 for 2-3 decades and (2,5)
# for 1-2 decades. With a threshold of 1, subs are not labeled.
# axis range at 2 to 3 decades
ax.set_xlim(1, 800)
_sub_labels(ax.xaxis, subs=[3])
_sub_labels(ax.xaxis, subs=[])

# axis range at 1 to 2 decades, label subs 2 and 5
# axis range at 1 to 2 decades
ax.set_xlim(1, 80)
_sub_labels(ax.xaxis, subs=[2, 5])
_sub_labels(ax.xaxis, subs=[])

# axis range at 0 to 1 decades, label subs 2, 3, 6
ax.set_xlim(1, 8)
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10 changes: 5 additions & 5 deletions lib/matplotlib/ticker.py
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Expand Up @@ -853,7 +853,7 @@ def set_locs(self, locs):
vmax = math.log(vmax) / math.log(b)
numdec = abs(vmax - vmin)

if numdec > 3:
if numdec > 1:
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My 2 cents is that we are trying to be too smart here and it has unintended consequences for anyone trying to use this formatter. At most, this sublabel filtering should be disabled by default (and possibly activated internally).

Also, the sublabel should probably (if kept) be private.

# Label only bases
self.sublabel = set((1,))
else:
Expand Down Expand Up @@ -1857,10 +1857,10 @@ def tick_values(self, vmin, vmax):

numdec = math.floor(vmax) - math.ceil(vmin)

if self._subs is None: # autosub
if numdec > 10:
subs = np.array([1.0])
elif numdec > 6:
if self._subs is None: # autosub for minor ticks
if numdec > 10 or b < 3:
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Maybe you should add a comment why no minor ticks should be label when b > 3.

return np.array([]) # no minor ticks
elif numdec > 5 and b >= 6:
subs = np.arange(2.0, b, 2.0)
else:
subs = np.arange(2.0, b)
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