def read_positions():
head,points1 = csv_parse.read('../Baltay-fibers_random.csv',delimiter=' ')
head,points2 = csv_parse.read('../Baltay-fibers_residual.csv',delimiter=' ')
points2 = rec.drop_fields(points2,('r','theta'))
points2['Number'] += 10000 # to distinguish them from the "randoms"
points = np.hstack((points1,points2))
return points
def read_originals():
"""Return the originally defined fiber positions, sorted by x and y."""
head, points1 = csv_parse.read("../Baltay-fibers_random.csv", delimiter=" ")
head, points2 = csv_parse.read("../Baltay-fibers_residual.csv", delimiter=" ")
points2 = recfunc.drop_fields(points2, ("r", "theta"))
points2["Number"] += 10000 # to distinguish them from the "randoms"
return np.hstack((points1, points2))
def read_positions():
head, points1 = csv_parse.read('../Baltay-fibers_random.csv',
delimiter=' ')
head, points2 = csv_parse.read('../Baltay-fibers_residual.csv',
delimiter=' ')
points2 = rec.drop_fields(points2, ('r', 'theta'))
points2['Number'] += 10000 # to distinguish them from the "randoms"
points = np.hstack((points1, points2))
return points
