You have a list of lists with varying lengths: [[1, 2], [3, 4, 5], [6]]. How can you create a NumPy array that holds this data without error?

hard📝 Application Q8 of 15

NumPy - Creating Arrays

You have a list of lists with varying lengths: [[1, 2], [3, 4, 5], [6]]. How can you create a NumPy array that holds this data without error?

AUse <code>np.array(data)</code> directly without dtype

BUse <code>np.array(data, dtype=object)</code> to allow varying lengths

CPad inner lists to equal length before using <code>np.array()</code>

DConvert the list to a Python tuple before passing to <code>np.array()</code>

Step-by-Step Solution

Solution:

Step 1: Understand ragged arrays in NumPy
NumPy cannot create regular arrays from lists with different inner lengths unless dtype=object is used.
Step 2: Use dtype=object to allow ragged arrays
Setting dtype=object tells NumPy to store references to Python objects, allowing varying lengths.
Final Answer:
Use np.array(data, dtype=object) to allow varying lengths -> Option B
Quick Check:
dtype=object allows ragged arrays [OK]

Quick Trick: Use dtype=object for ragged arrays [OK]

Common Mistakes:

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