def plotAllYields(self):
fig, axs = plt.subplots(2, 3, figsize=(12, 8))
for n, ax in enumerate(axs.flatten()):
yields = self.getYields(n)
f.arrayPlot(yields,
percentages=True,
is_subplot=ax,
title=f'{n} NWs')
plt.show()
def plotAmountOverLimit(self, limit):
"""Plot the fraction of detected blobs with a diameter larger than the given limit, for each field."""
values = []
for field in self.fields:
diameters = field.getDiameters()
amount_over_limit = len([d for d in diameters if d > limit])
ratio = amount_over_limit / len(diameters) * 100
values.append(ratio)
f.arrayPlot(values, percentages=True)
plt.show()
def plotDisplacementStd(self, **kwargs):
"""Display a plot of the standard deviation of the blob displacement from lattice for each field."""
std_displacements = [
np.std(field.getDisplacementMagnitudes()) for field in self.fields
]
plt = f.arrayPlot(std_displacements, **kwargs)
plt.show()
def plotMedianDisplacements(self, **kwargs):
"""Display a plot of the median blob displacement from lattice for each field."""
median_displacements = [
np.median(field.getDisplacementMagnitudes())
for field in self.fields
]
plt = f.arrayPlot(median_displacements, **kwargs)
plt.show()
def plotAvgBlobs(self, **kwargs):
"""Display a plot of the average number of blobs per lattice point for each field."""
average_blobs = [
field.getBlobCount() / field.number_of_points
for field in self.fields
]
plt = f.arrayPlot(average_blobs, **kwargs)
plt.show()
def plotMeanDisplacements(self, **kwargs):
"""Display a plot of the mean blob displacement from lattice for each field."""
mean_displacements = [
np.mean(field.getDisplacementMagnitudes()) for field in self.fields
]
for i, d in enumerate(mean_displacements):
print(i + 1, d)
plt = f.arrayPlot(mean_displacements, **kwargs)
plt.show()
def plotDisplacementMdev(self, **kwargs):
"""Display a plot of the median deviation from the median of the blob displacement from lattice for each field."""
mdevs = []
for field in self.fields:
data = field.getDisplacementMagnitudes()
d = np.abs(data - np.median(data))
mdev = np.median(d)
mdevs.append(mdev)
plt = f.arrayPlot(mdevs, **kwargs)
plt.show()
def plotYield(self, n):
"""Display a plot of the yields of n nanowires per hole for each field."""
yields = self.getYields(n)
title = str(n) + ' blobs'
plt = f.arrayPlot(yields, title=title, percentages=True)
plt.show()
def plotMedianDiameters(self, **kwargs):
"""Display a plot of the median blob diameter for each field."""
median_diameters = self.getMedianDiameters()
plt = f.arrayPlot(median_diameters, **kwargs)
plt.show()
