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Indexing And Slicing In Numpy Array.
Indexing And Slicing In Numpy Array. Table Of Contents: Numpy Indexing Numpy Slicing (1) Numpy Indexing Syntax: array[start:end:steps] Parameters: Start: Starting position of the element End: Ending Position Of The Element Steps: Number Of Steps To Jump While Travelling. Example-1: data = np.array([1, 2, 3]) data array([1, 2, 3]) data[0] 1 Note: It will select the value at index position ‘0’ which is ‘1’. Example-2: data[0:2] array([1, 2]) Note: It will select the value from ‘0’ to (end_index -1) = (2 – 1) = 1. Example-3: data[1:] array([2, 3]) Note: Here start index is ‘1’ and we did not mention
