ValueError: x and y can be no greater than 2D, but have shapes (499,) and (499, 14, 1)
时间: 2024-05-02 13:17:52 浏览: 352
关于 Python opencv 使用中的 ValueError: too many values to unpack
This error occurs when trying to plot 2D data against 3D data using Matplotlib.
In order to fix this error, you need to reshape your 3D data to 2D data. One possible approach is to select a specific dimension of the 3D data to plot against the 2D data. For example, if you have a 3D array with shape (499, 14, 1), you can select the first dimension (499) to plot against the 2D array. Here's an example code snippet:
``` python
import numpy as np
import matplotlib.pyplot as plt
# create some example data
x = np.linspace(0, 1, 499)
y = np.random.randn(499, 14, 1)
# reshape the 3D data to 2D data by selecting the first dimension
y_2d = y[:, 0, 0]
# plot the data
plt.plot(x, y_2d)
plt.show()
```
In this example, we selected the first dimension of the 3D array using `y[:, 0, 0]`, which gives us a 2D array with shape (499,). We can then plot this 2D array against the 1D array `x` using Matplotlib.
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