NumPy - Creating Arrays
You have a 2D array of zeros with shape (3, 3). How can you create a new array of the same shape filled with ones using
np.ones_like()?You have a 2D array of zeros with shape (3, 3). How can you create a new array of the same shape filled with ones using np.ones_like()?
hard📝 Application Q9 of 15
Step-by-Step Solution
Solution:
Step 1: Understand np.ones_like()
This function creates an array of ones with the same shape and dtype as the input array.Step 2: Check each option
np.ones_like(np.zeros((3, 3))) correctly passes a zeros array to np.ones_like(), creating a ones array of same shape. np.ones(np.zeros((3, 3))) passes an array to np.ones(), which expects shape, causing error. np.ones((3, 3)) creates a new array but not based on existing array. np.ones_like((3, 3)) passes a tuple, invalid for np.ones_like().Final Answer:
np.ones_like(np.zeros((3, 3))) -> Option AQuick Check:
np.ones_like() copies shape and dtype from input array [OK]
Quick Trick: Use np.ones_like() to match shape and dtype of existing array [OK]
Common Mistakes:
- Passing shape instead of array to np.ones_like()
- Using np.ones() with array argument
- Confusing np.ones_like() with np.ones()
Master "Creating Arrays" in NumPy
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