When I run:
from banksy.cluster_methods import run_Leiden_partition
seed = 1234
results_df, max_num_labels = run_Leiden_partition(
banksy_dict,
resolutions,
num_nn = 60, # k_expr: number of neighbours in expression (BANKSY embedding or non-spatial) space
num_iterations = -1, # run to convergenece
partition_seed = seed,
match_labels = False,
)
I get the following error:
ValueError: Can't clean for JSON: 13 labels, 55249 samples, ids: [ 0 1 2 3 4 5 6 7 8 9 10 11 12], counts: [7146 6929 6409 4985 4953 4218 3492 3481 3419 3211 2929 2059 2018]
I am not sure why this is happening; I get the same error even when setting match_labels = True.
Could you please offer some advice?
When I run:
from banksy.cluster_methods import run_Leiden_partition
seed = 1234
results_df, max_num_labels = run_Leiden_partition(
banksy_dict,
resolutions,
num_nn = 60, # k_expr: number of neighbours in expression (BANKSY embedding or non-spatial) space
num_iterations = -1, # run to convergenece
partition_seed = seed,
match_labels = False,
)
I get the following error:
ValueError: Can't clean for JSON: 13 labels, 55249 samples, ids: [ 0 1 2 3 4 5 6 7 8 9 10 11 12], counts: [7146 6929 6409 4985 4953 4218 3492 3481 3419 3211 2929 2059 2018]
I am not sure why this is happening; I get the same error even when setting
match_labels = True.Could you please offer some advice?