ValueError: Expected 2D array, got 1D array instead: array=[-0.07836865 0.09031832 0.07590125].
时间: 2023-11-28 16:50:33 浏览: 141
这个错误提示是因为你传递给函数的参数是一维数组,但函数需要的是二维数组。你可以使用 numpy 库中的 reshape 函数将一维数组转换为二维数组,或者在创建数组时就使用二维数组。
例如,如果你有一个名为 `arr` 的一维数组,可以使用以下代码将其转换为二维数组:
```python
import numpy as np
arr = np.array([-0.07836865, 0.09031832, 0.07590125])
arr_2d = arr.reshape(-1, 1)
```
这里的 `-1` 表示让 numpy 自动计算数组的行数,而 `1` 表示数组的列数。这样就可以将一维数组转换为二维数组了。
相关问题
ValueError: Expected 2D array, got 1D array instead: array=[9.].
这个错误通常表示你在使用某些需要输入二维数组的函数时,却传入了一维数组。你需要将这个一维数组转换成二维数组,例如可以使用reshape函数将其转换成一个只有一列的二维数组:
```
import numpy as np
arr_1d = np.array([9.])
arr_2d = arr_1d.reshape(-1, 1)
```
这样就可以将`[9.]`转换成一个只有一列的二维数组`[[9.]]`,然后在使用相关函数时传入`arr_2d`即可。
builtins.ValueError: Expected 2D array, got 1D array instead:
To fix the `ValueError` you encountered, you need to reshape your 1D array into a 2D array. You can use the `reshape` method from NumPy to accomplish this. Here's an example of how to do it:
```python
import numpy as np
# Assuming your 1D array is called 'arr'
arr_2d = np.reshape(arr, (-1, 1))
# Now 'arr_2d' is a 2D array with a single column
```
In this example, `arr` is your 1D array and `arr_2d` is the reshaped 2D array. The `-1` in the `reshape` method's argument means that the size of that dimension will be inferred based on the size of the original array. The `1` specifies that the reshaped array should have a single column.
Make sure to replace `'arr'` with the actual name of your 1D array in your code.