UFuncTypeError

[HYJ-hh]

我在用sample data运行时

contingency matrix for query dataset

y_true = obs['celltype'][obs_ids2].values
y_pred = obs['predicted'][obs_ids2].values

ax, contmat = pl.plot_contingency_mat(
y_true, y_pred, norm_axis=1,
order_rows=False, order_cols=False,
)
pl._save_with_adjust(ax.figure, figdir / 'contingency_mat.png')
ax.figure
出现这样的错误：

UFuncTypeError Traceback (most recent call last)
Cell In[23], line 5
2 y_true = obs['celltype'][obs_ids2].values
3 y_pred = obs['predicted'][obs_ids2].values
----> 5 ax, contmat = pl.plot_contingency_mat(
6 y_true, y_pred, norm_axis=1,
7 order_rows=False, order_cols=False,
8 )

File ~/miniconda3/envs/env_came/lib/python3.8/site-packages/came/utils/plot.py:253, in plot_contingency_mat(y_true, y_pred, norm_axis, arrange, order_rows, order_cols, ax, figsize, fp, **kwds)
251 """function for plotting the contingency matrix"""
252 from .analyze import wrapper_contingency_mat
--> 253 contmat = wrapper_contingency_mat(
254 y_true, y_pred, normalize_axis=norm_axis,
255 order_rows=order_rows, order_cols=order_cols, )
256 if arrange:
257 # align column- and row- names as possible
258 from .analyze import arrange_contingency_mat

File ~/miniconda3/envs/env_came/lib/python3.8/site-packages/came/utils/analyze.py:1677, in wrapper_contingency_mat(y_true, y_pred, order_rows, order_cols, normalize_axis, as_df, eps, assparse)
1675 mat = mat + eps
1676 if normalize_axis is not None: # 0 for columns
-> 1677 mat = pp.normalize_norms(mat, axis=normalize_axis)
1679 if as_df:
1680 mat = pd.DataFrame(mat, index=classes, columns=clusters)

File ~/miniconda3/envs/env_came/lib/python3.8/site-packages/came/utils/preprocess.py:1619, in normalize_norms(X, scale_factor, axis, by)
1603 """ wrapper of normalize_colsum and normalize_rowsum
1604
1605 Parameters
(...)
1616
1617 """
1618 foo = normalize_col if axis == 0 else normalize_row
-> 1619 return foo(X, scale_factor=scale_factor, by=by)

File /miniconda3/envs/env_came/lib/python3.8/site-packages/came/utils/preprocess.py:1585, in normalize_row(X, scale_factor, by)
1583 is_zero = norms == 0
1584 scale_factor = np.median(norms[ is_zero])
-> 1585 norms /= scale_factor
1586 # for those rows or columns that summed to 0, just do nothing
1587 norms[norms == 0] = 1

UFuncTypeError: Cannot cast ufunc 'true_divide' output from dtype('float64') to dtype('int64') with casting rule 'same_kind'

请问怎么解决呀

[jxxll]

Hi, I have met the same issue recently. Have you find the method to solve the problems?

[HYJ-hh]

not yet~

[XingyanLiu]

Apologies for the delay in responding. The bug-fixed version of CAME will be released prior to 6.12.

[HYJ-hh]

thanks, I will be looking forward to it until then