NumPy 面试题与答案
问题 16. How to access elements from a 2D NumPy array?
You can use indices. For example, 'arr[1, 2]' accesses the element in the second row and third column of 'arr'.
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问题 17. Explain the concept of a NumPy universal function (ufunc).
A ufunc in NumPy is a flexible function that operates element-wise on NumPy arrays, supporting broadcasting.
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问题 18. How to concatenate two NumPy arrays vertically?
You can use 'np.vstack()' or 'np.concatenate()' with 'axis=0'.
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问题 19. What is the purpose of 'np.ravel()' in NumPy?
'np.ravel()' returns a flattened 1D array from a multi-dimensional array.
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问题 20. Explain the use of 'np.histogram()' in NumPy.
'np.histogram()' computes the histogram of a set of data, returning the bin counts and bin edges.
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