def bin_boundaries(self, vmin, vmax):
"""Return bin boundaries (a.k.a. tick locations)."""
# The calculation of the label width should actually depend on the
# tick Formatter instance.
label_width = max(len('%g' % v) for v in (vmin, vmax))
label_px_width = 1.2 * TextPath((0, 0), '0' * (label_width + 2)).get_extents().width
w, _ = self.axis.axes.figure.canvas.get_width_height()
if not isinstance(self.axis, maxis.XAxis):
raise NotImplementedError("Currently only XAxis is supported.")
# Use figure width to calculate the number of bins---only valid for x-axis.
# The following nbins calculation is approximate since it should vary
# with subplot parameters---i.e. padding on the left and right of
# subplots and multiple columns in a subplot grid.
self._nbins = min(self._nbins_cached, int(w / label_px_width))
return MaxNLocator.bin_boundaries(self, vmin, vmax)
def bin_boundaries(self, vmin, vmax):
"""Return bin boundaries (a.k.a. tick locations)."""
# The calculation of the label width should actually depend on the
# tick Formatter instance.
label_width = max(len('%g' % v) for v in (vmin, vmax))
label_px_width = 1.2 * TextPath(
(0, 0), '0' * (label_width + 2)).get_extents().width
w, _ = self.axis.axes.figure.canvas.get_width_height()
if not isinstance(self.axis, maxis.XAxis):
raise NotImplementedError("Currently only XAxis is supported.")
# Use figure width to calculate the number of bins---only valid for x-axis.
# The following nbins calculation is approximate since it should vary
# with subplot parameters---i.e. padding on the left and right of
# subplots and multiple columns in a subplot grid.
self._nbins = min(self._nbins_cached, int(w / label_px_width))
return MaxNLocator.bin_boundaries(self, vmin, vmax)
def bin_boundaries(self, vmin, vmax):
self._guess_steps(vmin, vmax)
return MaxNLocator.bin_boundaries(self, vmin, vmax)
def bin_boundaries(self, vmin, vmax):
self._guess_steps(vmin, vmax)
return MaxNLocator.bin_boundaries(self, vmin, vmax)