ndarray is read-only
时间: 2024-05-30 07:08:47 浏览: 18
The error message "ndarray is read-only" typically occurs when you are trying to modify a numpy array that is read-only. This means that the array has been marked as read-only, either explicitly or implicitly, and cannot be modified.
To fix this error, you need to make sure that you are working with a numpy array that is not read-only. Here are a few things you can try:
1. Check if the array is read-only: You can check if an array is read-only by calling the `flags` attribute of the array and checking the value of the `writeable` property. If `writeable` is `False`, then the array is read-only.
2. Make a copy of the array: If the array is read-only, you can make a copy of the array using the `numpy.copy()` function. The copy will not be read-only, so you can modify it as needed.
3. Use a different array: If you cannot modify the read-only array, you may need to create a new array that is not read-only and use that instead.
Overall, it's important to be careful when working with numpy arrays to avoid accidentally marking them as read-only.
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