def get_shoreline_mask(self):
"""Get the shoreline mask"""
# We already have it
if self._shoreline_mask is not None:
return self._shoreline_mask
# We skip
if self._shoreline_arg is None: return
# We compute it
lon = self.get_lon()
lat = self.get_lat()
xres, yres = self.get_res()
clip = [lon.getValue().min()-self._shoreline_margin*xres,
lat.getValue().min()-self._shoreline_margin*yres,
lon.getValue().max()+self._shoreline_margin*xres,
lat.getValue().max()+self._shoreline_margin*yres]
if not isinstance(self._shoreline_arg, ShoreLine):
shoreline = get_shoreline(self._shoreline_arg, clip=clip)
if shoreline is None: return
else:
shoreline = shoreline.clip(clip)
# Get the polygons
polys = shoreline.get_shapes()
# Create the mask
self._shoreline_mask = polygon_mask(self.get_grid(), polys)
del polys
return self._shoreline_mask
"""
Masquages évolués
Modules: :mod:`vacumm.misc.grid.masking`
"""
from vcmq import *
from vacumm.misc.grid.masking import polygon_mask, erode_coast, get_coastal_indices, \
get_coastal_indices, envelop, polygons, polygon_select, get_dist_to_coast, \
convex_hull
# Creation d'un masque via un trait de cote
grid = create_grid((-6., -4., 0.1), (47.5, 49.1, 0.1)) # grille de l'iroise
resolution = 'h' # resolution gshhs : testez 'i'
mask = polygon_mask(grid, resolution, thresholds=0.5) # testez threshold = 0.1
mvmask = MV2.array(mask)
set_grid(mvmask, grid)
map2(mvmask, fillcontinents=False, drawcoastlines_color='r', drawcoastlines_zorder=100,
res=resolution, proj='merc', fill='pcolor', drawcoastlines_linewidth=2,
cmap=cmap_rs(['1', '0.6']), contour=False, colorbar=False,
savefig ='courses_masking_0.png', show=True)
# Cote via mask
indices = get_coastal_indices(mask)
dist = get_dist_to_coast(grid, mask)
# Erosion de la cote
f = cdms2.open(data_sample('mars3d.xy.nc'))
def run(self):
if self.netcdf3: io.netcdf3()
else: io.netcdf4(level=self.netcdf4level)
cdms2.setAutoBounds(0)
self.notice('Masking %s to %s', self.inpfile, self.outfile)
inpfile = cdms2.open(self.inpfile)
if os.path.isfile(self.outfile):
if os.path.samefile(self.inpfile, self.outfile):
raise Exception('Cannot use same input and output file')
if self.overwrite:
os.remove(self.outfile)
else:
raise Exception('Output file already exists and overwriting is not requested')
outfile = cdms2.open(self.outfile, 'w')
# Copy global attributes
for a,v in inpfile.attributes.items():
setattr(outfile, a, v)
# Keep grid masks in memory to improve performances (TODO: use a file cache as for basemaps ?)
mask_cache = dict()
stats = True # self.is_verbose()
# Iterate over input variables
for varid,filevar in inpfile.variables.items():
# Process only gridded/specified variables
grid = filevar.getGrid()
maskit = grid is not None
if maskit and self.included_variables and varid not in self.included_variables: maskit = False
if maskit and self.excluded_variables and varid in self.excluded_variables: maskit = False
if not maskit and self.masked_only:
self.verbose('Ignoring %s: variable has no grid and masked_only was specified')
continue
self.logger.info(bases.psinfo())
self.notice('Processing variable: %s, grid: %s', varid, grid.shape if grid else None)
# NOTE: With scalar variables, memvar could be numpy.<type> instead of cdms2.tvariable.TransientVariable
memvar = filevar()
self.info(bases.describe(memvar, stats=stats))
self.logger.info(bases.psinfo())
if maskit:
# Build the mask, check if it is already cached ?
cache_id = id(grid)
self.info('Get mask for grid %s', cache_id)
mask = mask_cache.get(cache_id, None)
if mask is None:
self.notice('Loading mask: %s', dict(resolution=self.resolution, mode=self.mode, thresholds=self.thresholds, reverse=self.reverse))
mask = masking.polygon_mask(grid, self.resolution, mode=self.mode, thresholds=self.thresholds)
if self.reverse: mask = ~mask
mask_cache[cache_id] = mask
self.info(bases.describe(mask, stats=stats))
self.logger.info(bases.psinfo())
# Mask variable
# TODO: check/handle dimensions count and order
self.notice('Masking variable: %s, mask: %s', memvar.shape, mask.shape)
mask = MV2.resize(mask, filevar.shape)
memvar[:] = MV2.masked_where(mask, memvar)
self.info(bases.describe(memvar, stats=stats))
# Special scalar case which could fail if directly written (because fill_value is None)
if not filevar.shape:
fill_value = filevar.getMissing()
if fill_value is None:
fill_value = -memvar
memvar = cdms2.createVariable(
memvar, id=filevar.id, shape=(), typecode=filevar.typecode(),
fill_value=fill_value, attributes=filevar.attributes)
# Write masked variable to output file
self.notice('Writing variable to file')
outfile.write(memvar)
self.logger.info(bases.psinfo())
outfile.close()
inpfile.close()
# Plot params
import pylab as P
import vacumm.misc.color as C
P.figure(figsize=(6, 5))
P.subplots_adjust(top=.92, left=.03, bottom=.03, wspace=.05, hspace=.2)
kwplot = dict(colorbar=False,cmap=C.cmap_linear([(.6, .8, 1), C.land]), \
contour=False,show=False,fillcontinents=False,fill='pcolor',
drawmeridians=False, drawparallels=False, res='h', key=True, xymasked=False)
# Mask using shoreline
from vacumm.misc.grid.masking import polygon_mask
from vacumm.misc.plot import map2
import MV2 as MV
# - mask if central point sur terre (mode = 0 = 'inside')
lon2, lat2 = N.meshgrid(lon, lat)
mask0 = polygon_mask((lon2, lat2), 'h', mode=0, ocean=False)
mask0 = MV.array(mask0, axes=[lat, lon])
mask0.long_name = "'inside'"
map2(mask0, subplot=221, **kwplot)
# - mask if cell more than 50% of land (mode = 1 = 'intersect')
thresholds = .5
mask1 = polygon_mask((lon2, lat2),
'h',
mode=1,
thresholds=thresholds,
ocean=False)
mask1 = MV.array(mask1, axes=[lat, lon])
mask1.long_name = "'intersect': threshold=%g" % thresholds
map2(mask1, subplot=222, **kwplot)
# - mask if cell if more than 30% of land
thresholds = .3
# -*- coding: utf-8 -*-
"""
Masquages évolués
Modules: :mod:`vacumm.misc.grid.masking`
"""
from vcmq import *
from vacumm.misc.grid.masking import polygon_mask, erode_coast, get_coastal_indices, \
get_coastal_indices, envelop, polygons, polygon_select, get_dist_to_coast, \
convex_hull
# Creation d'un masque via un trait de cote
grid = create_grid((-6., -4., 0.1), (47.5, 49.1, 0.1)) # grille de l'iroise
resolution = 'h' # resolution gshhs : testez 'i'
mask = polygon_mask(grid, resolution, thresholds=0.5) # testez threshold = 0.1
mvmask = MV2.array(mask)
set_grid(mvmask, grid)
map2(mvmask,
fillcontinents=False,
drawcoastlines_color='r',
drawcoastlines_zorder=100,
res=resolution,
proj='merc',
fill='pcolor',
drawcoastlines_linewidth=2,
cmap=cmap_rs(['1', '0.6']),
contour=False,
colorbar=False,
savefig='courses_masking_0.png',
show=True)
# Plot params
import pylab as P
import vacumm.misc.color as C
P.figure(figsize=(6, 5))
P.subplots_adjust(top=.92,left=.03,bottom=.03,wspace=.05,hspace=.2)
kwplot = dict(colorbar=False,cmap=C.cmap_linear([(.6, .8, 1), C.land]), \
contour=False,show=False,fillcontinents=False,fill='pcolor',
drawmeridians=False, drawparallels=False, res='h', key=True, xymasked=False)
# Mask using shoreline
from vacumm.misc.grid.masking import polygon_mask
from vacumm.misc.plot import map2
import MV2 as MV
# - mask if central point sur terre (mode = 0 = 'inside')
lon2,lat2 = N.meshgrid(lon,lat)
mask0 = polygon_mask((lon2, lat2), 'h', mode=0, ocean=False)
mask0 = MV.array(mask0, axes=[lat, lon])
mask0.long_name = "'inside'"
map2(mask0, subplot=221, **kwplot)
# - mask if cell more than 50% of land (mode = 1 = 'intersect')
thresholds = .5
mask1 = polygon_mask((lon2, lat2), 'h', mode=1, thresholds=thresholds, ocean=False)
mask1 = MV.array(mask1, axes=[lat, lon])
mask1.long_name = "'intersect': threshold=%g" %thresholds
map2(mask1, subplot=222, **kwplot)
# - mask if cell if more than 30% of land
thresholds = .3
mask1 = polygon_mask((lon2, lat2), 'h', mode=1, thresholds=thresholds, ocean=False)
mask1 = MV.array(mask1, axes=[lat, lon])
mask1.long_name = "'intersect': threshold=%g" %thresholds
map2(mask1, subplot=223, **kwplot)
