I'd like to extract a numpy array with a specified size from a numpy 2d array--essentially I want to crop the array. For example, if have a numpy array like this:
([1,2,3], [4,5,6], [7,8,9])
I'd like to extract a 2x2 from it and the result should be:
([1,2], [4,5])
How can I do that?
To get the subarray we can use slicing to get the subarray. Step 1: Run a loop till length+1 of the given list. Step 2: Run another loop from 0 to i. Step 3: Slice the subarray from j to i.
Slice Two-dimensional Numpy Arrays To slice elements from two-dimensional arrays, you need to specify both a row index and a column index as [row_index, column_index] . For example, you can use the index [1,2] to query the element at the second row, third column in precip_2002_2013 .
Conclusion: to copy data from a numpy array to another use one of the built-in numpy functions numpy. array(src) or numpy. copyto(dst, src) wherever possible.
Given this array:
>>> a array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
You can slice it along both dimensions:
>>> a[:2,:2] array([[1, 2], [4, 5]])
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