def extractTracks(self, index, lon, lat):
"""
Extract tracks that only *start* within the pre-defined domain.
The function returns the indices of the tracks that begin within
the domain.
"""
outIndex = []
flag = 0
for i in xrange(len(index)):
if index[i] == 1:
# A new track:
if (stats.between(lon[i], self.domain['xMin'], self.domain['xMax']) &
stats.between(lat[i], self.domain['yMin'], self.domain['yMax'])):
# We have a track starting within the spatial domain:
outIndex.append(i)
flag = 1
else:
flag = 0
else:
if flag == 1:
outIndex.append(i)
else:
pass
return outIndex
def extractTracks(self, index, lon, lat):
"""
Extract tracks that only *start* within the pre-defined domain.
The function returns the indices of the tracks that begin within
the domain.
:param index: indicator of initial positions of TCs (1 = new TC,
0 = continuation of previous TC).
:param lon: longitudes of TC positions
:param lat: latitudes of TC positions
:type index: `numpy.ndarray`
:type lon: `numpy.ndarray`
:type lat: `numpy.ndarray`
:returns: indices corresponding to all points of all tracks that
form within the model domain
:rtype: `numpy.ndarray`
"""
outIndex = []
flag = 0
for i in xrange(len(index)):
if index[i] == 1:
# A new track:
if (stats.between(lon[i], self.domain['xMin'],
self.domain['xMax'])
& stats.between(lat[i], self.domain['yMin'],
self.domain['yMax'])):
# We have a track starting within the spatial domain:
outIndex.append(i)
flag = 1
else:
flag = 0
else:
if flag == 1:
outIndex.append(i)
else:
pass
return outIndex
def extractTracks(self, index, lon, lat):
"""
Extract tracks that only *start* within the pre-defined domain.
The function returns the indices of the tracks that begin within
the domain.
:param index: indicator of initial positions of TCs (1 = new TC,
0 = continuation of previous TC).
:param lon: longitudes of TC positions
:param lat: latitudes of TC positions
:type index: `numpy.ndarray`
:type lon: `numpy.ndarray`
:type lat: `numpy.ndarray`
:returns: indices corresponding to all points of all tracks that
form within the model domain
:rtype: `numpy.ndarray`
"""
outIndex = []
flag = 0
for i in xrange(len(index)):
if index[i] == 1:
# A new track:
if (stats.between(lon[i], self.domain['xMin'], self.domain['xMax']) &
stats.between(lat[i], self.domain['yMin'], self.domain['yMax'])):
# We have a track starting within the spatial domain:
outIndex.append(i)
flag = 1
else:
flag = 0
else:
if flag == 1:
outIndex.append(i)
else:
pass
return outIndex