Can you explain what NumPy broadcasting is?
Sure! NumPy broadcasting allows you to perform arithmetic operations on arrays of different shapes, making it easier to work with data.
Can you give me some examples of how broadcasting works?
Absolutely! For instance, if you have a 1D array and a 2D array, NumPy will automatically expand the 1D array to match the shape of the 2D array for operations.
What happens if the shapes are not compatible?
If the shapes are not compatible, NumPy will raise a ValueError. Broadcasting requires that the dimensions are either the same or one of them is 1.
Can you show me a code example?
Sure! Here's a simple example:
import numpy as np
array1 = np.array([1, 2, 3]) # 1D array
array2 = np.array([[10], [20], [30]]) # 2D array
result = array1 + array2 # Broadcasting happens here
print(result)
This will output:
[[11 12 13]
[21 22 23]
[31 32 33]]
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