ValueError：无法将 NumPy 数组转换为张量（不支持的对象类型时间戳）

Question

有一些类似的 ValueErrors 问题，但没有关于 Timestamp 的问题。

我试图预测 'n' 天后比特币的价格。

我将“日期”列转换为Timestamp。在拟合模型时，我需要将张量转换为 Numpy 数组。但我不能；发生此错误。有办法解决吗？

（另外，如果我有任何其他错误，或者代码中有可以改进的地方，请告诉我。）

我也觉得我错过了什么。 （我确实剪掉了预处理部分，稍后会这样做，我也可以对此提出一些建议。）

代码：

import tensorflow as tf
import pandas as pd
import numpy as np

df = pd.read_csv('btcdata.csv', header=0, parse_dates=[0])
print(df)
target = df.pop('Close')
df = df.values

print()


model = tf.keras.Sequential()
model.add(tf.keras.layers.Dense(50, activation='relu', input_shape=(4,)))
model.add(tf.keras.layers.Lambda(
    lambda x: tf.expand_dims(model.output, axis=-1)))
model.add(tf.keras.layers.LSTM(100, activation='relu'))
model.add(tf.keras.layers.Dense(1, activation='relu'))
model.summary()
model.compile(optimizer='adam', loss='mean_absolute_error',
              metrics=['accuracy'])

model.fit(df, target, epochs=10)

错误：

Traceback (most recent call last):
  File "time-series-test.py", line 23, in <module>
    model.fit(df, target, epochs=10)
  File "C:\Users\User\anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py", line 66, in _method_wrapper
    return method(self, *args, **kwargs)
  File "C:\Users\User\anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py", line 815, in fit
    model=self)
  File "C:\Users\User\anaconda3\lib\site-packages\tensorflow\python\keras\engine\data_adapter.py", line 1112, in __init__
    model=model)
  File "C:\Users\User\anaconda3\lib\site-packages\tensorflow\python\keras\engine\data_adapter.py", line 265, in __init__
    x, y, sample_weights = _process_tensorlike((x, y, sample_weights))
  File "C:\Users\User\anaconda3\lib\site-packages\tensorflow\python\keras\engine\data_adapter.py", line 1013, in _process_tensorlike
    inputs = nest.map_structure(_convert_numpy_and_scipy, inputs)
  File "C:\Users\User\anaconda3\lib\site-packages\tensorflow\python\util\nest.py", line 617, in map_structure
    structure[0], [func(*x) for x in entries],
  File "C:\Users\User\anaconda3\lib\site-packages\tensorflow\python\util\nest.py", line 617, in <listcomp>
    structure[0], [func(*x) for x in entries],
  File "C:\Users\User\anaconda3\lib\site-packages\tensorflow\python\keras\engine\data_adapter.py", line 1008, in _convert_numpy_and_scipy
    return ops.convert_to_tensor(x, dtype=dtype)
  File "C:\Users\User\anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1341, in convert_to_tensor
    ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
  File "C:\Users\User\anaconda3\lib\site-packages\tensorflow\python\framework\tensor_conversion_registry.py", line 52, in _default_conversion_function
    return constant_op.constant(value, dtype, name=name)
  File "C:\Users\User\anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py", line 262, in constant
    allow_broadcast=True)
  File "C:\Users\User\anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py", line 270, in _constant_impl
    t = convert_to_eager_tensor(value, ctx, dtype)
  File "C:\Users\User\anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py", line 96, in convert_to_eager_tensor
    return ops.EagerTensor(value, ctx.device_name, dtype)
ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type Timestamp).

Answer 1

我建议您可以尝试从 DataFrame 中删除索引，因为我假设它包含时间戳。

df.reset_index(drop=True, inplace=True) # Replaces the index with integers

信用：https://kite.com/python/answers/how-to-drop-the-index-column-of-a-pandas-dataframe-in-python