假设 Target 中的双冒号是一个错字，你可以这样做：

import numpy as np

   np.reshape(Predict, (1, 4))

这导致：

[[50.47426987, 50.5871582 , 50.58975601, 50.91119766]]

下面是我的代码测试我这边这个问题。

import numpy as np
import matplotlib.pyplot as plt

Predict = [50.47426986694336, 50.587158203125, 50.58975601196289, 50.911197662353516]
Target = [[51.339996337890625, 51.79999923706055, 51.09000015258789, 64.86000061035156]]

# Convert Predict to a NumPy array and transpose it
predict_array = np.array(Predict).T

# Reshape Predict to have the same shape as Target
predict_reshaped = predict_array.reshape(Target.shape)

# Plot both lists
plt.plot(predict_reshaped.flatten(), label='Predict')
plt.plot(Target.flatten(), label='Target')
plt.legend()
plt.show()