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- Function application over numpys matrix row column
If you compare the entire subarray array['x'] with a scalar (such as 3) as one expression (array['x']<3) then numpy will use broadcasting to in effect upgrade 3 to an array of 3's of the same shape as array['x'] and do the comparison element-by-element in C Except that no real array of 3's is created and the operation is much faster than a
- Passing keyword arguments to NumPy __array__ functions
import numpy as np class MyArray: def __init__(self, arr): self arr = arr def __array__(self, dtype, **kwargs): return np array(self arr, dtype, **kwargs) It's not many characters more, and it's clearer what you're passing through in case you (or a contributor) want to modify this method in the future
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