How can I perform advanced operations on NumPy arrays?
You can perform advanced operations like broadcasting, indexing, and vectorization. What specific operation are you interested in?
Can you explain broadcasting with an example?
Sure! Broadcasting allows NumPy to work with arrays of different shapes during arithmetic operations. 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.
That sounds useful! How about indexing? What are some advanced indexing techniques?
Advanced indexing techniques include boolean indexing and fancy indexing. Boolean indexing allows you to select elements based on conditions, while fancy indexing lets you select elements using integer arrays.
Can you give me a quick example of boolean indexing?
Absolutely! If you have an array arr = np.array([1, 2, 3, 4, 5])
, you can select elements greater than 3 with arr[arr > 3]
, which will return array([4, 5])
.
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