def gen_mask(self, lon, lat, arr, coord='lon/lat', **kw):
"""Creates a mask for given 2d array."""
print "generating array's mask..."
if np.ndim(lon) == 1:
lon, lat = np.meshgrid(lon, lat) # 1d -> 2d
lon, lat = lon.ravel(), lat.ravel()
if coord == 'lon/lat':
arr_x, arr_y = ll2xy(lon, lat, units='m', **kw) # lon/lat -> x/y m
else:
arr_x, arr_y = lon, lat
arr_x, arr_y = np.rint(arr_x), np.rint(arr_y)
self.mask_x, self.mask_y, self.mask_z = self._get_subset(arr_x, arr_y)
# if not monotonically increasing (usually the y-dim)
if self.mask_y[0] > self.mask_y[-1]:
self.mask_y = self.mask_y[::-1]
self.mask_z = self.mask_z[::-1,:]
jj, ii = self._digitize(arr_x, arr_y, self.mask_x, self.mask_y)
self.arr_z = self.mask_z[ii,jj].reshape(arr.shape) # 2d mask
self.arr_x = arr_x
self.arr_y = arr_y
del arr_x, arr_y
print 'done.'
fnames1 = '/Users/fpaolo/data/gps/forShijieLiu/*.llh'
fnames2 = '/Users/fpaolo/data/gps/spider_web_groundtracks/*.llh'
files = glob(fnames1) + glob(fnames2)
# load all data files
t = lon = lat = h = []
for f in files:
d = np.loadtxt(f)
t = np.append(t, d[:,0]) # day
lon = np.append(lon, d[:,1]) # lon
lat = np.append(lat, d[:,2]) # lat
h = np.append(h, d[:,3]) # elev
t = ap.day2year(t, since=(2000, 1, 1))
x, y = ap.ll2xy(lon, lat)
x, y = lon, lat
'''
# create hdf5 file
f = tb.openFile('amery_gps_all.h5', 'w')
f.createArray('/', 'time', t)
f.createArray('/', 'lon', lon)
f.createArray('/', 'lat', lat)
f.createArray('/', 'x', x)
f.createArray('/', 'y', y)
f.createArray('/', 'h', h)
f.close()
'''
#------------------------------------------------------------
thickness_err = np.fromfile(FILE_THICKNESS_ERR, dtype='<f4').reshape(rows_err, cols_err) x_err = np.linspace(left_err, right_err, cols_err) y_err = np.linspace(bottom_err, top_err, rows_err) freeboard = freeboard[::-1] # flip y-dim thickness = thickness[::-1] thickness_err = thickness_err[::-1] ind = np.where((freeboard == nodata) | (thickness == nodata)) freeboard[ind] = np.nan thickness[ind] = np.nan thickness_err[thickness_err==nodata] = np.nan # grid coords in polar stere xx, yy = np.meshgrid(lon, lat) xx, yy = ap.ll2xy(xx, yy, units='m') xx_bm, yy_bm = np.meshgrid(x_bm, y_bm) xx_mask, yy_mask = np.meshgrid(x_mask, y_mask) # regrid the error to match resolutions thickness_err1 = interp(thickness_err, x_err, y_err, xx_bm, yy_bm, order=1) thickness_err2 = interp(thickness_err, x_err, y_err, xx_bm, yy_bm, order=0) thickness_err1[np.isnan(thickness_err1)] = thickness_err2[np.isnan(thickness_err1)] thickness_err = thickness_err1 # mask ice shelves mask_bm = interp(mask, x_mask, y_mask, xx_bm, yy_bm, order=0) freeboard[mask_bm!=4] = np.nan thickness[mask_bm!=4] = np.nan thickness_err[mask_bm!=4] = np.nan
fnames1 = '/Users/fpaolo/data/gps/forShijieLiu/*.llh'
fnames2 = '/Users/fpaolo/data/gps/spider_web_groundtracks/*.llh'
files = glob(fnames1) + glob(fnames2)
# load all data files
t = lon = lat = h = []
for f in files:
d = np.loadtxt(f)
t = np.append(t, d[:, 0]) # day
lon = np.append(lon, d[:, 1]) # lon
lat = np.append(lat, d[:, 2]) # lat
h = np.append(h, d[:, 3]) # elev
t = ap.day2year(t, since=(2000, 1, 1))
x, y = ap.ll2xy(lon, lat)
x, y = lon, lat
'''
# create hdf5 file
f = tb.openFile('amery_gps_all.h5', 'w')
f.createArray('/', 'time', t)
f.createArray('/', 'lon', lon)
f.createArray('/', 'lat', lat)
f.createArray('/', 'x', x)
f.createArray('/', 'y', y)
f.createArray('/', 'h', h)
f.close()
'''
#------------------------------------------------------------
fname1 = '/Users/fpaolo/data/gps/amery_gps_all.h5'
