aggregate_across_cells functon : length of 'groups' should be equal to the number of columns in 'x'

[xjsun1221]

import scranpy
import numpy as np

X = np.random.randint(0, 100, size=(50, 50)).astype(np.float64)

groups = np.random.choice(['A', 'B', 'C'], size=50).astype('U10')
print(X.shape,len(groups))

single_factor_result = scranpy.aggregate_across_cells(
    x=X,          
    factors=groups,  
    num_threads=1
)

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
Cell In[20], line 2
      1 # 执行聚合
----> 2 single_factor_result = scranpy.aggregate_across_cells(
      3     x=X,          
      4     factors=groups,  
      5     num_threads=1
      6 )

File [~/miniconda3/envs/sc2_clone/lib/python3.11/site-packages/scranpy/aggregate_across_cells.py:106](http://localhost:8888/lab/tree/~/miniconda3/envs/sc2_clone/lib/python3.11/site-packages/scranpy/aggregate_across_cells.py#line=105), in aggregate_across_cells(x, factors, num_threads)
    103 comblev = biocutils.NamedList(comblev, facnames)
    105 mat = mattress.initialize(x)
--> 106 outsum, outdet = lib.aggregate_across_cells(mat.ptr, combind, num_threads)
    108 counts = numpy.zeros(len(comblev[0]), dtype=numpy.uint32)
    109 for i in combind:

RuntimeError: length of 'groups' should be equal to the number of columns in 'x'

but in my data,length of 'groups' is equal to the number of columns in 'x'.

[LTLA]

It's actually

import scranpy
import numpy as np

X = np.random.randint(0, 100, size=(50, 50)).astype(np.float64)

groups = np.random.choice(['A', 'B', 'C'], size=50).astype('U10')
print(X.shape,len(groups))

single_factor_result = scranpy.aggregate_across_cells(
    x=X,          
    factors=[groups], # could also use a tuple
    num_threads=1
)

as aggregate_across_cells() can take multiple factors. This is discussed more in help(scranpy.combine_factors).