def plot_spectral_estimate(f, sdf, sdf_ests, limits=None, elabels=()):
"""
Plot an estimate of a spectral transform against the ground truth.
Utility file used in building the documentation
"""
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax_limits = (sdf.min() - 2 * np.abs(sdf.min()),
sdf.max() + 1.25 * np.abs(sdf.max()))
ax.plot(f, sdf, 'c', label='True S(f)')
if not elabels:
elabels = ('', ) * len(sdf_ests)
colors = 'bgkmy'
for e, l, c in zip(sdf_ests, elabels, colors):
ax.plot(f, e, color=c, linewidth=2, label=l)
if limits is not None:
ax.fill_between(f,
limits[0],
y2=limits[1],
color=(1, 0, 0, .3),
alpha=0.5)
ax.set_ylim(ax_limits)
ax.legend()
return fig
def plot_spectral_estimate(f, sdf, sdf_ests, limits=None, elabels=()):
"""
Plot an estimate of a spectral transform against the ground truth.
Utility file used in building the documentation
"""
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax_limits = (sdf.min() - 2*np.abs(sdf.min()),
sdf.max() + 1.25*np.abs(sdf.max()))
ax.plot(f, sdf, 'c', label='True S(f)')
if not elabels:
elabels = ('',) * len(sdf_ests)
colors = 'bgkmy'
for e, l, c in zip(sdf_ests, elabels, colors):
ax.plot(f, e, color=c, linewidth=2, label=l)
if limits is not None:
ax.fill_between(f, limits[0], y2=limits[1], color=(1, 0, 0, .3),
alpha=0.5)
ax.set_ylim(ax_limits)
ax.legend()
return fig
def animate(x):
global runtime
try:
current_temp = float((get(APIURL + 'temp')).text)
except:
current_temp = 0
print("Cannot reach API")
if current_temp < 10:
current_temp = 10
if current_temp > 50:
current_temp = 50
print(temperature_history)
temperature_history.insert(0,current_temp)
time_ran.append(runtime)
runtime += 1
time_ran_plot = time_ran
temperature_history_plot = temperature_history
axis.clear()
axis.plot(time_ran_plot, temperature_history_plot)
axis.set_xlim(300,0)
axis.set_ylim(10,50)
plot.xlabel('seconds ago')
plot.ylabel('degrees C')