def plot(self, ax=None):
"""
Plots the CFD
@param ax: MatPlotLib axis to plot into
@return:
"""
if ax is None:
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(self.prob, self.arr, linewidth=LINEWIDTH)
ax.set_xlabel('$p(x)$')
ax.set_ylabel('$x$')
def plot(self, ax):
"""
Plot this statistical characterization
@param ax: matplotlib index
@return:
"""
if ax is None:
fig = plt.figure()
ax = fig.add_subplot(111)
for cdf in self.gen_P_laws:
ax.plot(cdf.prob, cdf.data_sorted, color='r', marker='x')
for cdf in self.load_P_laws:
ax.plot(cdf.prob, cdf.data_sorted, color='g', marker='x')
for cdf in self.load_Q_laws:
ax.plot(cdf.prob, cdf.data_sorted, color='b', marker='x')
ax.set_xlabel('$p(x)$')
ax.set_ylabel('$x$')
