xr = .4
yr = .15
noise = N.random.random(n)
a = N.random.random(n) * N.pi * 2
r = N.random.random(n)
x = xc + r * xr * N.cos(a)
y = yc + r * yr * N.sin(a)
bathy = N.asarray([
x, y,
N.exp(-(x - xc)**2 / xr**2 - (y - yc)**2 / yr**2) * 30. + noise
]).transpose()
fbathy = __file__[:-2] + 'xyz'
N.savetxt(fbathy, bathy)
# %% Load XYZ with undersampling
xyz = XYZBathy(fbathy, long_name='My XYZ', rsamp=0.01)
# on aurait pu charger directement :
# >>> xyz = XYZBathy(bathy)
# %% Add a selection zone
# -> triangulaire, par coordonnees [[x1,y1],...]
xyz.select([[-5.4, 48.1], [-4.8, 48.1], [-5.1, 48.5]])
# %% Add an exclusion zone
# -> rectangulaire, par coins [xmin,ymin,xmax,ymax]
xyz.exclude([-5.2, 48., -5, 48.25])
# %% Info
print xyz
# %% Get data
# Creation de fausses bathymetries xyz
# - fonction generatrice
def gene_bathy(xc, yc, xr, yr, n=500, amp=30.):
noise = N.random.random(n)
a = N.random.random(n) * N.pi * 2
r = N.random.random(n)
x = xc + xr * r * N.cos(a)
y = yc + yr * r * N.sin(a)
return N.asarray([
x, y,
N.exp(-(x - xc)**2 / xr**2 - (y - yc)**2 / yr**2) * amp + noise
])
# - creations
xyz1 = XYZBathy(gene_bathy(-5, 48.3, .3, .15)) # top right
xyz2 = XYZBathy(gene_bathy(-5.45, 48.1, .45, .25, n=1000, amp=20),
transp=False) # bot left
# Recuperation de donnees
x = xyz1.x
y = xyz1.y
z = xyz1.z
# Exclusions/selections
xyz1.select([[-5.4, 48.1], [-4.8, 48.1], [-5.1, 48.5]])
xyz1.exclude([-5.2, 48., -5, 48.25])
# Infos
print xyz1.xmin # -> essayer get_xmin avec mask
print xyz1.resol() # -> essayer avec deg=...
# - fonction generatrice
def gene_bathy(xc, yc, xr, yr, n=500, amp=30.):
noise = N.random.random(n)
a = N.random.random(n) * N.pi * 2
r = N.random.random(n)
x = xc + xr * r * N.cos(a)
y = yc + yr * r * N.sin(a)
return N.asarray([
x, y,
N.exp(-(x - xc)**2 / xr**2 - (y - yc)**2 / yr**2) * amp + noise
])
# - creations
xyz1 = XYZBathy(gene_bathy(-5, 48.3, .3, .15)) # top right
xyz2 = XYZBathy(gene_bathy(-5.45, 48.3, .2, .1, amp=10)) # top left
xyz3 = XYZBathy(gene_bathy(-5.45, 48.1, .45, .25, n=1000, amp=20),
transp=False) # bot left
xyz4 = XYZBathy(gene_bathy(-5., 48.1, .14, .08, n=300)) # bot right
fxyz5 = __file__[:-2] + 'xyz5.xyz'
N.savetxt(fxyz5, gene_bathy(-5.15, 48.2, .2, .1, amp=15).transpose()) # center
# Fusion directe
xyz = xyz1 + xyz2 + xyz3 + xyz4 + fxyz5
# Plot
import pylab as P
P.figure(figsize=(5., 8.5))
P.subplot(311)
