def plot_power_histogram(self,
ax=None,
load_kwargs=None,
plot_kwargs=None,
range=None,
**hist_kwargs):
"""
Parameters
----------
ax : axes
load_kwargs : dict
plot_kwargs : dict
range : None or tuple
if range=(None, x) then on_power_threshold will be used as minimum.
**hist_kwargs
Returns
-------
ax
"""
if ax is None:
ax = plt.gca()
if load_kwargs is None:
load_kwargs = {}
if plot_kwargs is None:
plot_kwargs = {}
generator = self.power_series(**load_kwargs)
# set range
if range is None or range[0] is None:
maximum = None if range is None else range[1]
range = (self.on_power_threshold(), maximum)
hist, bins = histogram_from_generator(generator,
range=range,
**hist_kwargs)
# Plot
plot_kwargs.setdefault('linewidth', 0.1)
ax.fill_between(bins[:-1], 0, hist, **plot_kwargs)
first_bin_width = bins[1] - bins[0]
ax.set_xlim([bins[0] - (first_bin_width / 2), bins[-1]])
ax.set_xlabel('Power (watts)')
ax.set_ylabel('Count')
return ax
def plot_power_histogram(self, ax=None, load_kwargs=None,
plot_kwargs=None, range=None, **hist_kwargs):
"""
Parameters
----------
ax : axes
load_kwargs : dict
plot_kwargs : dict
range : None or tuple
if range=(None, x) then on_power_threshold will be used as minimum.
**hist_kwargs
Returns
-------
ax
"""
if ax is None:
ax = plt.gca()
if load_kwargs is None:
load_kwargs = {}
if plot_kwargs is None:
plot_kwargs = {}
generator = self.power_series(**load_kwargs)
# set range
if range is None or range[0] is None:
maximum = None if range is None else range[1]
range = (self.on_power_threshold(), maximum)
hist, bins = histogram_from_generator(generator, range=range,
**hist_kwargs)
# Plot
plot_kwargs.setdefault('linewidth', 0.1)
ax.fill_between(bins[:-1], 0, hist, **plot_kwargs)
first_bin_width = bins[1] - bins[0]
ax.set_xlim([bins[0]-(first_bin_width/2), bins[-1]])
ax.set_xlabel('Power (watts)')
ax.set_ylabel('Count')
return ax
