Can you explain what NumPy broadcasting is with an example?
Sure! NumPy broadcasting allows you to perform arithmetic operations on arrays of different shapes. For example, 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.
Can you show me a code example of this?
Absolutely! Here's a simple example:
import numpy as np
# 1D array
array_1d = np.array([1, 2, 3])
# 2D array
array_2d = np.array([[10, 20, 30],
[40, 50, 60]])
# Broadcasting the 1D array to add to the 2D array
result = array_2d + array_1d
print(result)
This will output:
[[11 22 33]
[43 52 63]]
What happens if the shapes are not compatible?
If the shapes are not compatible for broadcasting, NumPy will raise a ValueError. For example, trying to add a 1D array of shape (3,) to a 2D array of shape (2, 4) will result in an error.
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