3.8.15. Leçon sur les bathymétries¶
Voir vacumm.bathy
.
3.8.15.1. Leçon 1 : les bathymétries grillées¶
Fichier courses_bathy_gridded.py
#!/usr/bin/env python
# -*- coding: utf8 -*-
"""Manipulation de bathymetrie sur grille (:mod:`vacumm.bathy.bathy`)"""
from vcmq import cdms2, data_sample, create_grid
from vacumm.bathy.bathy import GriddedBathy, NcGriddedBathy, bathy_list, GriddedBathyMerger, plot_bathy
# Lecture d'une variable dans un fichier
cdms2.axis.latitude_aliases.append('y')
cdms2.axis.longitude_aliases.append('x')
f = cdms2.open(data_sample('ETOPO2v2g_flt.grd'))
var = f('z', lon=(-6.1, -4), lat=(47.8, 48.6))
f.close()
# Creation de l'objet de bathy grillee
bathy = GriddedBathy(var)
# Versions masquees
bathy_masked1 = bathy.masked_bathy() # -> nb de points masques ?
bathy.set_shoreline('f') # -> essayer 'i'
bathy_masked2 = bathy.masked_bathy() # -> nb de points masques ?
# Plot
bathy.plot(title='Direct')
# Bathy standard
from vacumm.bathy.bathy import NcGriddedBathy, bathy_list
print bathy_list().keys()
sbathy = NcGriddedBathy(lon=(-5.2, -3), lat=(48., 48.9), name='etopo2')
sbathy.plot(title='Bathy par defaut')
# Fusion de bathy
mgrid = create_grid((-6.1, -3, 0.01), (47.8, 48.9, .006)) # -> changer la grille
from vacumm.bathy.bathy import GriddedBathyMerger
merger = GriddedBathyMerger(mgrid)
merger += sbathy
merger += bathy
merger.plot(title='Fusion / plot direct')
# Plot via plot_bathy
mbathy = merger.merge()
plot_bathy(mbathy, title='Fusion / plot via plot_bathy')
# Regrillage
rgrid = create_grid((-6.1, -3, 0.05), (47.8, 48.9, .02))
Mbathy = GriddedBathy(mbathy)
rbathy = Mbathy.regrid(rgrid)
plot_bathy(rbathy, title='Regrillee')
3.8.15.2. Leçon 2 : les semis de points¶
Fichier : courses_bathy_xyz.py
#!/usr/bin/env python
# -*- coding: utf8 -*-
"""Manipulation de bathymetrie en semis de points (:mod:`vacumm.bathy.bathy`)"""
from vcmq import N, os, merc, create_grid, resol, map2, P
from vacumm.bathy.bathy import XYZBathy, XYZBathyMerger
# 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=...
# Plot
kwp = dict(size=40, map_res=None, masked_alpha=.1)
xyz1.plot(mode='both', **kwp) # -> essayer autre mode
# Fichier
fbathy = __file__[:-2]+'xyz'
xyz1.save(fbathy)
xyz3 = XYZBathy(fbathy)
xyz3.plot(title='XYZ3', **kwp)
# Fusions
xyz = xyz1 + xyz2
merger = XYZBathyMerger()
merger += xyz1 # -> supprimer/ajouter
merger.append(xyz2)
for i, b in enumerate(merger):
b.long_name = 'Niveau : %i'%i # Pour les legendes
b.set_transp(False) # Opacite
merger.plot(mode='cluster', **kwp) # -> essayer autre mode
xyz = merger.get_xyz(long_name='Merged')
xyz.plot(**kwp)
# Regrillage
grid_auto = xyz.grid
grid_manual = create_grid((-5.3, -4.91, .01), (48.1, 48.41, .01))
gridded = xyz.togrid(grid_manual)
map2(gridded, res=None)