Draft of adjacency table as df #397
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ljwolf
reviewed
Apr 8, 2021
libpysal/graphs/wdf.py
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| return self._cache["sparse"] | ||
| except KeyError: | ||
| weights = self.adjlist.weight | ||
| idxs = self.adjlist.focal.unique() |
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This assumes that all focals are neighbours & vice versa. I think it needs something like
le = LabelEncoder.fit(numpy.hstack((self.adjlist.focal, self.adjlist.neighbor))
rows = le.transform(self.adjlist.focal)
cols = le.transform(self.adjlist.neighbor)or the equivalent numpy.searchsorted on the set of unique(focal.union(neighbour))
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#393