def _raw_ticks(self, vmin, vmax):
if self._nbins == 'auto':
if self.axis is not None:
nbins = np.clip(self.axis.get_tick_space(),
max(1, self._min_n_ticks - 1), 9)
else:
nbins = 9
else:
nbins = self._nbins
scale, offset = mticker.scale_range(vmin, vmax, nbins)
_vmin = vmin - offset
_vmax = vmax - offset
raw_step = 1 / (1 / vmax - 1 / vmin) / nbins
steps = self._extended_steps * scale
if self._integer:
# For steps > 1, keep only integer values.
igood = (steps < 1) | (np.abs(steps - np.round(steps)) < 0.001)
steps = steps[igood]
self.numticks = len(self.other_axis.get_xticks())
ticks = 1 / np.linspace(1 / vmin, 1 / vmax, self.numticks)
for step in steps:
best_vmin = (_vmin // step) * step
low = np.round(mticker.Base(step).le(_vmin - best_vmin) / step)
high = np.round(mticker.Base(step).ge(_vmax - best_vmin) / step)
return ticks
def __init__(self, base=1, month=1, day=1, tz=None):
"""
Mark years that are multiple of base on a given month and day
(default jan 1).
"""
DateLocator.__init__(self, tz)
self.base = ticker.Base(base)
self.replaced = { 'month' : month,
'day' : day,
'hour' : 0,
'minute' : 0,
'second' : 0,
'tzinfo' : tz
}
def __init__(self, nbins=7, symmetric=True):
self._base = mticker.Base(1.0)
self.set_params(nbins, symmetric)
def __init__(self, nbins=7, symmetric=True):
if parse_version(matplotlib.__version__) < parse_version('3.1.0'):
self._base = mticker.Base(1.0)
else:
self._base = mticker._Edge_integer(1.0, 0)
self.set_params(nbins, symmetric)
