Traceback (most recent call last):


 "E:/загрузки/учеба/лабы/H2lab/Search.py", line 4, in <module>

ra = pd.read_excel("Edata.xlsx", sheet_name="r-a").astype(float)


 "E:\python\lib\site-packages\pandas\core\generic.py", line 5882, in astype

dtype=dtype, copy=copy, errors=errors, **kwargs


 "E:\python\lib\site-packages\pandas\core\internals\managers.py", line 581, in astype

return self.apply("astype", dtype=dtype, **kwargs)


 "E:\python\lib\site-packages\pandas\core\internals\managers.py", line 438, in apply

applied = getattr(b, f)(**kwargs)


 "E:\python\lib\site-packages\pandas\core\internals\blocks.py", line 559, in astype

return self._astype(dtype, copy=copy, errors=errors, values=values, **kwargs)


 "E:\python\lib\site-packages\pandas\core\internals\blocks.py", line 643, in _astype

values = astype_nansafe(vals1d, dtype, copy=True, **kwargs)


 "E:\python\lib\site-packages\pandas\core\dtypes\cast.py", line 729, in astype_nansafe

return arr.astype(dtype, copy=True)
ValueError: could not convert string to float: '4→0'

Traceback (most recent call last):


 "keras_retinanet/bin/train.py", line 35, in <module>

from .. import layers
# noqa: F401


 "keras_retinanet/bin/../../keras_retinanet/layers/__init__.py", line 1, in <module>

from ._misc import RegressBoxes, UpsampleLike, Anchors, ClipBoxes
# noqa: F401


 "keras_retinanet/bin/../../keras_retinanet/layers/_misc.py", line 19, in <module>

from ..utils import anchors as utils_anchors


 "keras_retinanet/bin/../../keras_retinanet/utils/anchors.py", line 20, in <module>

from ..utils.compute_overlap import compute_overlap


 "__init__.pxd", line 861, in init keras_retinanet.utils.compute_overlap
ValueError: numpy.ufunc has the wrong size, try recompiling. Expected 192, got 216
