if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(description=
'Fit and plot ellipses from 2d data')
parser.add_argument('-f', '--file', dest="file",
help='csv file', default=None)
parser.add_argument('-r', '--radius', default=1.0, type=float,
help="Radius of the circle")
parser.add_argument('-x' '--deltaX', dest="x", type=float,
default=0.0, help="Center position in x")
parser.add_argument('-y' '--deltaY', dest="y", type=float,
default=0.0, help="Center position in y")
parser.add_argument('-n', '--noise', dest="noise", type=float,
help='Random noise', default=0.3)
parser.add_argument('-p', '--points', dest="points", type=int,
help='Number of data points', default=100)
args = parser.parse_args()
if args.file:
data = np.loadtxt(args.file, delimiter=',')
x = data[1:, 0] - data[0, 0]
y = data[1:, 1] - data[0, 1]
else:
err = randn(args.points)*args.noise
phi = np.linspace(0, 2*np.pi, args.points) # angles of the channels
x, y = pol2cat(phi, args.radius+err, deg=False)
fit_circle(x+args.x, y+args.y)
show()
ax.axvline(x=0.0, color='k')
return fig, ax
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(description=
'Fit and plot ellipses from 2d data')
parser.add_argument('-f', '--file', dest="file",
help='csv file', default=None)
parser.add_argument('-n', '--noise', dest="noise", type=float,
help='Random noise', default=0.3)
parser.add_argument('-p', '--points', dest="points", type=int,
help='Number of data points', default=100)
args = parser.parse_args()
if args.file:
data= np.loadtxt(args.file, delimiter=',')
x = data[1:, 0] - data[0, 0]
y = data[1:, 1] - data[0, 1]
else:
err = randn(args.points)*args.noise
phi = np.linspace(0, 2*np.pi, args.points) # angles of the channels
r0 = ellipse_polar(phi, 4, rand(), rand()*np.pi)
x, y = pol2cat(phi, r0+err, deg=False)
fit_ellipse(x, y)
show()
