What are the basics of masking in NumPy?
Masking in NumPy allows you to filter arrays based on certain conditions. It creates a boolean array that can be used to index another array.
Can you give me an example of how to use masking?
Sure! If you have an array arr = np.array([1, 2, 3, 4, 5])
and you want to mask values greater than 3, you can do mask = arr > 3
and then use arr[mask]
to get the result.
What happens if I want to change the masked values?
You can directly assign new values to the masked positions. For example, arr[mask] = 0
will set all values greater than 3 to 0.
Are there any performance considerations with masking?
Yes, masking can be memory-intensive for large arrays, so it's important to consider the size of your data and the operations you perform.
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