Broadcasting - use Technical Quotient

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Broadcasting - use Technical Quotient

NumPy

General broadcasting rules

1. Remember

Which statement is true about NumPy array broadcasting rules?

Arrays can be broadcast together if their dimensions are equal or one of them is one.
Arrays need to have the same number of dimensions to be broadcast together.
Broadcasting is possible only if arrays have more than two dimensions.
Only arrays with the same shape can be broadcast together.

3. Apply

You have an image stored as a NumPy array image of shape (200, 300, 3) and wish to apply different brightness adjustments for each color channel using an array adjustments of shape (3,). How would you correctly apply these adjustments to each color channel?

image = np.ones((200, 300, 3))\nadjustments = np.array([0.9, 1.1])\nresult = image * adjustments[:, np.newaxis]

image = np.ones((3,))\nadjustments = np.array([0.9, 1.1, 1.0])\nresult = image[np.newaxis, np.newaxis, :] * adjustments

image = np.ones((200, 300))\nadjustments = np.array([0.9, 1.1, 1.0, 1.2])\\nresult = image[:, :, np.newaxis] * adjustments

image = np.ones((200, 300, 3))\nadjustments = np.array([0.9, 1.1, 1.0])\nresult = image * adjustments

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1. Remember

2. Understand

3. Apply

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