What is broadcasting in NumPy ufuncs?
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What is broadcasting in NumPy ufuncs?
Broadcasting is a powerful mechanism in NumPy that allows ufuncs to operate on arrays of different shapes. It automatically expands the smaller array across the larger array so that they have compatible shapes.
Can you give me an example of broadcasting?
Sure! If you have a 1D array of shape (3,) and a 2D array of shape (3, 4), NumPy will broadcast the 1D array across the 2D array, allowing element-wise operations.
What happens if the shapes are not compatible?
If the shapes are not compatible, NumPy will raise a ValueError. The dimensions must either be the same or one of them must be 1.
How can I check the shape of an array?
You can check the shape of a NumPy array using the .shape attribute. For example, array.shape will return a tuple representing the dimensions.
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