def getIndex(self):
"""Get the grid index"""
if self._index_ is None:
latlin = numpy.ma.filled(self._lataxis_)
lonlin = numpy.ma.filled(self._lonaxis_)
self._index_ = bindex.bindexHorizontalGrid(latlin, lonlin)
return self._index_
def getIndex(self):
"""Get the grid index"""
if self._index_ is None:
# Trying to stick in Stephane Raynaud's patch for autodetection
nj, ni = self._lataxis_.shape
dlon = numpy.max(self._lonaxis_) - numpy.min(self._lonaxis_)
dx = max(dlon / ni, dlon / nj)
dlat = numpy.max(self._lataxis_) - numpy.min(self._lataxis_)
dy = max(dlat / ni, dlat / nj)
latlin = numpy.ravel(numpy.ma.filled(self._lataxis_))
lonlin = numpy.ravel(numpy.ma.filled(self._lonaxis_))
_bindex.setDeltas(dx, dy)
self._index_ = bindex.bindexHorizontalGrid(latlin, lonlin)
return self._index_
def getIndex(self):
"""Get the grid index"""
if self._index_ is None:
# Trying to stick in Stephane Raynaud's patch for autodetection
nj,ni = self._lataxis_.shape
dlon = numpy.max(self._lonaxis_)-numpy.min(self._lonaxis_)
dx = max(dlon/ni,dlon/nj)
dlat = numpy.max(self._lataxis_)-numpy.min(self._lataxis_)
dy = max(dlat/ni,dlat/nj)
latlin = numpy.ravel(numpy.ma.filled(self._lataxis_))
lonlin = numpy.ravel(numpy.ma.filled(self._lonaxis_))
_bindex.setDeltas(dx,dy)
self._index_ = bindex.bindexHorizontalGrid(latlin, lonlin)
return self._index_
