TypeError: Iterator operand 0 dtype could not be cast from dtype('<M8[us]') to dtype('<M8[D]') according to the rule 'safe' - 代码天地

TypeError: Iterator operand 0 dtype could not be cast from dtype('<M8[us]') to dtype('<M8[D]') according to the rule 'safe'

其他 2019-05-02 18:01:28 阅读次数: 0

NoSuchKey

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转载自www.cnblogs.com/jason-Gan/p/10802814.html

TypeError: Iterator operand 0 dtype could not be cast from dtype('<M8[us]') to dtype('<M8[D]') according to the rule 'safe'

TypeError: Cannot cast array data from dtype('int64') to dtype('int32') according to the rule 'safe'

成功解决TypeError: Cannot cast array data from dtype('float64') to dtype('U32') according to the rule '

TypeError: ufunc 'sqrt' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

TypeError: reduction operation 'argmin' not allowed for this dtype

TypeError: reduction operation 'argmax' not allowed for this dtype

Could not compute output Tensor(“activation/Identity:0“, shape=(None, 1), dtype=float32)

【h5py Error】TypeError: No conversion path for dtype: dtype ('U16')

TypeError: Object dtype dtype('O') has no native HDF5 equivalent

TypeError: Image data of dtype object cannot be converted to float

TypeError: Cannot interpolate with all object-dtype columns in the DataFrame

RuntimeError: expected device cuda:0 and dtype Byte but got device cuda:0 and dtype Bool

python报错：TypeError: ufunc ‘add‘ did not contain a loop with signature matching types dtype(‘＜U32‘) d

使用h5py保存文件时报错：TypeError: Object dtype dtype('O') has no native HDF5 equivalent

成功解决TypeError: no supported conversion for types: (dtype(‘O‘),)和TypeError: Cannot initialize Dataset

类型dtype转换

tf.as_dtype()

python中dtype的用法

numpy.dtype

numpy的astype, dtype

ny.dtype()

【翻译】torch.dtype

dtype的设置方式---------numpy

UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instea

UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bo

TypeError: ufunc did not contain a loop with signature matching types dtype('U32')

pandas中报错：TypeError: reduction operation ‘argmax‘ not allowed for this dtype 的解决办法

TypeError: empty() received an invalid combination of arguments - got (tuple, dtype=NoneType, device

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