def set_scatter_ticks(self, ax: plt.Axes, minor_ticks=False):
"""Intelligently creates major and minor ticks for a square scatter plot while avoiding crowding"""
# Get tick locations corresponding to the current view limits
major_locs, ax_min, ax_max = self.get_fixed_majorticklocs(ax.viewLim.bounds)
ax.xaxis.set_major_locator(tix.FixedLocator(major_locs))
ax.yaxis.set_major_locator(tix.FixedLocator(major_locs))
if len(self.dge_scatter_tick_cache):
self.restore_ticks(ax, "both")
return
for axis in [ax.xaxis, ax.yaxis]:
# Only display every nth major tick label
ticks_displayed, last_idx = self.every_nth_label(axis, 3)
if minor_ticks:
axis.set_minor_locator(tix.LogLocator(
base=2.0,
numticks=self.get_min_LogLocator_numticks(axis),
subs=np.log2(np.linspace(2 ** 2, 2 ** 4, 10))[:-1]))
min_tick = 2 ** (np.log2(ax_min)+1)
max_tick = major_locs[last_idx]
self.set_tick_bounds(axis, min_tick=min_tick, max_tick=max_tick, minor=minor_ticks)
self.cache_ticks(axis, axis.__name__)
def set_my_locators_and_formatters(self, axis):
# choose the default locator and additional parameters
if isinstance(axis, matplotlib.axis.XAxis):
axis.set_major_locator(MaxNLocator())
elif isinstance(axis, matplotlib.axis.YAxis):
axis.set_major_locator(MaxNLocator())
# copy&paste from the original method
axis.set_major_formatter(ScalarFormatter())
axis.set_minor_locator(NullLocator())
axis.set_minor_formatter(NullFormatter())