Mercurial > repos > goeckslab > squidpy
comparison squidpy_spatial.py @ 3:d30ef0613122 draft
planemo upload for repository https://github.com/goeckslab/tools-mti/tree/main/tools/squidpy commit 3c79b731a6c4379bfb0491ceebf767789c8b79c4
| author | goeckslab |
|---|---|
| date | Tue, 14 May 2024 21:54:05 +0000 |
| parents | be0e7952e229 |
| children |
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| 2:4a058bd23a12 | 3:d30ef0613122 |
|---|---|
| 49 | 49 |
| 50 if k == 'genes': # for spatial_autocorr and sepal | 50 if k == 'genes': # for spatial_autocorr and sepal |
| 51 options[k] = [e.strip() for e in v.split(',')] | 51 options[k] = [e.strip() for e in v.split(',')] |
| 52 elif k == 'radius': # for spatial_neighbors | 52 elif k == 'radius': # for spatial_neighbors |
| 53 options[k] = ast.literal_eval(v) | 53 options[k] = ast.literal_eval(v) |
| 54 elif k == 'numba_parallel': # for nhood_enrichment and ligrec | |
| 55 if v == 'false': | |
| 56 options[k] = False | |
| 57 elif v == 'true': | |
| 58 options[k] = True | |
| 59 elif k == 'interactions': # for ligrec | 54 elif k == 'interactions': # for ligrec |
| 60 options[k] = pd.read_csv(v, sep="\t") | 55 options[k] = pd.read_csv(v, sep="\t") |
| 61 elif k == 'max_neighs': | 56 elif k == 'max_neighs': |
| 62 options[k] = int(v) # for sepal | 57 options[k] = int(v) # for sepal |
| 63 | 58 |
