我在下面的代码中尝试将pandas数据帧转换为具有tensorflow的张量。我首先使用“ .values”将其转换为一个numpy数组，然后尝试使用convert_to_tensor将其转换为张量，但是下面出现了错误。谁能告诉我我在做什么错以及如何解决？
数据：
print(test_result)
channel_0 channel_1 channel_2 channel_3 channel_4
2014-01-05 0.0255506 0.1006 0.111489 0.351855 0.0875379
2014-01-12 0.280675 0.291868 0.129358 0.333653 0.356215
2014-01-19 0.324742 0.240964 0.114397 0.189708 0.515657
test_result.values
array([[0.025550554, 0.10060038, 0.111488804, 0.3518546, 0.08753788],
[0.280675, 0.29186815, 0.12935837, 0.33365345, 0.35621548],
[0.32474187, 0.24096353, 0.11439703, 0.18970811, 0.5156571]],
dtype=object)
代码：
test_convert=tf.convert_to_tensor(test_result.values)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-134-065d7d40920a> in <module>()
----> 1 test_convert=tf.convert_to_tensor(test_result.values)
~/anaconda2/envs/py36/lib/python3.6/site-packages/tensorflow/python/framework/ops.py in convert_to_tensor(value, dtype, name, preferred_dtype)
1012 name=name,
1013 preferred_dtype=preferred_dtype,
-> 1014 as_ref=False)
1015
1016
~/anaconda2/envs/py36/lib/python3.6/site-packages/tensorflow/python/framework/ops.py in internal_convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, ctx)
1102
1103 if ret is None:
-> 1104 ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
1105
1106 if ret is NotImplemented:
~/anaconda2/envs/py36/lib/python3.6/site-packages/tensorflow/python/framework/constant_op.py in _constant_tensor_conversion_function(v, dtype, name, as_ref)
233 as_ref=False):
234 _ = as_ref
--> 235 return constant(v, dtype=dtype, name=name)
236
237
~/anaconda2/envs/py36/lib/python3.6/site-packages/tensorflow/python/framework/constant_op.py in constant(value, dtype, shape, name, verify_shape)
212 tensor_value.tensor.CopyFrom(
213 tensor_util.make_tensor_proto(
--> 214 value, dtype=dtype, shape=shape, verify_shape=verify_shape))
215 dtype_value = attr_value_pb2.AttrValue(type=tensor_value.tensor.dtype)
216 const_tensor = g.create_op(
~/anaconda2/envs/py36/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py in make_tensor_proto(values, dtype, shape, verify_shape)
530 raise TypeError(
531 "Element type not supported in TensorProto: %s" % numpy_dtype.name)
--> 532 append_fn(tensor_proto, proto_values)
533
534 return tensor_proto
tensorflow/python/framework/fast_tensor_util.pyx in tensorflow.python.framework.fast_tensor_util.AppendObjectArrayToTensorProto()
~/anaconda2/envs/py36/lib/python3.6/site-packages/tensorflow/python/util/compat.py in as_bytes(bytes_or_text, encoding)
65 else:
66 raise TypeError('Expected binary or unicode string, got %r' %
---> 67 (bytes_or_text,))
68
69
TypeError: Expected binary or unicode string, got 0.025550554