I have a NumPy array, and I want to retrieve all the elements except a certain index. For example, consider the following array
a = [0,1,2,3,4,5,5,6,7,8,9]
If I specify index 3, then the resultant should be
a = [0,1,2,4,5,5,6,7,8,9]
To remove an element from a NumPy array: Specify the index of the element to remove. Call the numpy. delete() function on the array for the given index.
To select an element from Numpy Array , we can use [] operator i.e. It will return the element at given index only.
prod() in Python. numpy. prod() returns the product of array elements over a given axis.
Like resizing, removing elements from an NumPy array is a slow operation (especially for large arrays since it requires allocating space and copying all the data from the original array to the new array). It should be avoided if possible.
Often you can avoid it by working with a masked array instead. For example, consider the array a
:
import numpy as np a = np.array([0,1,2,3,4,5,5,6,7,8,9]) print(a) print(a.sum()) # [0 1 2 3 4 5 5 6 7 8 9] # 50
We can mask its value at index 3 and can perform a summation which ignores masked elements:
a = np.ma.array(a, mask=False) a.mask[3] = True print(a) print(a.sum()) # [0 1 2 -- 4 5 5 6 7 8 9] # 47
Masked arrays also support many operations besides sum
.
If you really need to, it is also possible to remove masked elements using the compressed
method:
print(a.compressed()) # [0 1 2 4 5 5 6 7 8 9]
But as mentioned above, avoid it if possible.
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