def plot(self, vmin=None, vmax=None, *args, **kwargs):
mean = np.nanmean(self.data, dtype=np.float64)
std = np.nanstd(self.data, dtype=np.float64)
if vmin is None:
vmin = mean - (2.0 * std)
if vmax is None:
vmax = mean + (2.0 * std)
GenericMap.plot(self, vmin=vmin, vmax=vmax, *args, **kwargs)
return
def plot(self, vmin=None, vmax=None, *args, **kwargs):
mean = np.nanmean(self.data, dtype=np.float64)
std = np.nanstd(self.data, dtype=np.float64)
if vmin is None:
vmin = mean - (2.0 * std)
if vmax is None:
vmax = mean + (2.0 * std)
GenericMap.plot(self, vmin=vmin, vmax=vmax, *args, **kwargs)
return
