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36 changes: 23 additions & 13 deletions lib/matplotlib/ticker.py
Original file line number Diff line number Diff line change
Expand Up @@ -1527,15 +1527,22 @@ def __call__(self):
try:
majorstep = majorlocs[1] - majorlocs[0]
except IndexError:
raise ValueError('Need at least two major ticks to find minor '
'tick locations')
# Need at least two major ticks to find minor tick locations
# TODO: Figure out a way to still be able to display minor
# ticks without two major ticks visible. For now, just display
# no ticks at all.
majorstep = 0

if self.ndivs is None:
x = int(round(10 ** (np.log10(majorstep) % 1)))
if x in [1, 5, 10]:
ndivs = 5
else:
ndivs = 4
if majorstep == 0 :
# TODO: Need a better way to figure out ndivs
ndivs = 1
else :
x = int(round(10 ** (np.log10(majorstep) % 1)))
if x in [1, 5, 10]:
ndivs = 5
else:
ndivs = 4
else:
ndivs = self.ndivs

Expand All @@ -1545,12 +1552,15 @@ def __call__(self):
if vmin > vmax:
vmin,vmax = vmax,vmin

t0 = majorlocs[0]
tmin = np.ceil((vmin - t0) / minorstep) * minorstep
tmax = np.floor((vmax - t0) / minorstep) * minorstep
locs = np.arange(tmin, tmax, minorstep) + t0
cond = np.abs((locs - t0) % majorstep) > minorstep/10.0
locs = locs.compress(cond)
if len(majorlocs) > 0:
t0 = majorlocs[0]
tmin = np.ceil((vmin - t0) / minorstep) * minorstep
tmax = np.floor((vmax - t0) / minorstep) * minorstep
locs = np.arange(tmin, tmax, minorstep) + t0
cond = np.abs((locs - t0) % majorstep) > minorstep/10.0
locs = locs.compress(cond)
else:
locs = []

return self.raise_if_exceeds(np.array(locs))

Expand Down