def direction(self):
"""Return direction of vector (i.e. angle between vector and the horizontal plane (WIP)"""
deg = []
if self.dimensions < 2:
return 0 # With only 1 dimension, y is essentially zero, so angle is always 0
if self.dimensions == 2:
x = numpy.degrees(numpy.arctan(
self.pix[1] / self.pix[0])) if self.pix[
0] != 0 else 90 # Angle from x axis (y is opp, x is adj)
y = numpy.degrees(numpy.arctan(
self.pix[0] / self.pix[1])) if self.pix[
1] != 0 else 90 # Angle from y axis (x is opp, y is adj)
return (x, y)
if self.dimensions == 3:
x = numpy.degrees(numpy.arctan(
self.pix[1] / self.pix[0])) if self.pix[
0] != 0 else 90 # Angle from x axis (y is opp, x is adj)
y = numpy.degrees(numpy.arctan(
self.pix[0] / self.pix[1])) if self.pix[
1] != 0 else 90 # Angle from y axis (x is opp, y is adj)
z = numpy.degrees(
numpy.arctan(self.pix[2] / numpy.hypot3d(*self.pix[:2]))
) if numpy.hypot3d(
*self.pix[:2]
) != 0 else 90 # Angle from z axis (z is opp, hyp(x,y) is adj)
return (x, y, z)
def direction(self):
"""Direction of vector (i.e. angle between vector and the horizontal
plane).
"""
if self.dimensions < 2:
# with only 1 dimension, y is essentially zero, so angle is always 0
return 0.0
toReturn = [] # store output values
if self.dimensions >= 2:
if self.pix[0] != 0.0: # Angle from x-axis (y is opp, x is adj)
x = np.degrees(np.arctan(self.pix[1] / self.pix[0]))
else:
x = 90.0
toReturn.append(x)
if self.pix[1] != 0.0: # Angle from y-axis (x is opp, y is adj)
y = np.degrees(np.arctan(self.pix[0] / self.pix[1]))
else:
y = 90.0
toReturn.append(y)
if self.dimensions == 3:
# Angle from z-axis (z is opp, hyp(x,y) is adj)
if np.hypot3d(*self.pix[:2]) != 0.0:
u = np.hypot3d(*self.pix[:2])
z = np.degrees(np.arctan(self.pix[2] / u))
else:
z = 90.0
toReturn.append(z)
return toReturn
def magnitude(self):
"""Magnitude of vector (i.e. length of the line from vector to (0, 0)
in pixels).
"""
return np.hypot3d(*self.pix)
def magnitude(self):
"""Return magnitude of vector (i.e. length of the line from vector to (0,0) in pixels) (WIP)"""
return numpy.hypot3d(*self.pix)