line, = figure.gca().plot([x, x],
[y - stdev, y + stdev])
line.set_solid_capstyle("butt")
figure.set_style(style, line)
if __name__ == "__main__":
from gizela.pyplot.FigureLayoutBase import FigureLayoutBase
fig = FigureLayoutBase()
from gizela.data.PointCartCovMat import PointCartCovMat
p = PointCartCovMat(id="A", x=0, y=0)
p.var = (9, 4)
print p.errEll
style = {}
PlotPoint.plot_point_xy(fig, p.x, p.y, style)
PlotPoint.plot_label_xy(fig, p.id, p.x, p.y, style)
PlotPoint.plot_error_ellipse_xy(fig, p.x, p.y, p.errEll, style)
PlotPoint.plot_vector_xy(fig, [p.x, p.x + 3, p.x + 1.0],
[p.y, p.y - 2, p.y - 1.5], style, style)
fig.gca().axis([-4,4,-4,4])
fig.set_aspect_equal()
#fig.show_()
ori = ("en", "wn", "ne", "nw", "es", "ws", "se", "sw")
for o in ori:
def set_use_apriori(self, use):
"""
sets use of apriori/aposteriori standard deviation
use: True/False
"""
for point in self:
point.covmat.useApriori=use
if __name__ == "__main__":
# points
c1 = PointCartCovMat(id="A",x=1,y=2,z=3)
c1.var = (3,2,3)
print c1
c2 = PointCartCovMat(id="B",x=3,y=5,z=6)
c2.var = (9,9,9)
c3 = PointCartCovMat(id="C",x=2,y=4)
c4 = PointCartCovMat(id="D",z=6)
# covariance matrix
covmat = CovMat(9,8)
for i in xrange(9,0,-1):
for j in xrange(i): covmat.append_value((j+10.0-i)*1e-5)
print covmat.data
# point list
pd=PointListCovMat()
print pd
