You saw that NumPy outputs a two-dimensional array "s" in a nice column-based format that right-aligns every element in a field width. The field width’s size is determined by the array element value that requires the most character positions to display. To understand how powerful it is to have this formatting simply built-in, write a function that reimplements NumPy’s array formatting for a two-dimensional array "s" using loops. Assume the array contains only positive integer values.
You saw that NumPy outputs a two-dimensional array "s" in a nice column-based format that right-aligns every element in a field width. The field width’s size is determined by the array element value that requires the most character positions to display. To understand how powerful it is to have this formatting simply built-in, write a function that reimplements NumPy’s array formatting for a two-dimensional array "s" using loops. Assume the array contains only positive integer values.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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You saw that NumPy outputs a two-dimensional array "s" in a nice column-based format that right-aligns every element in a field width. The field width’s size is determined by the array element value that requires the most character positions to display. To understand how powerful it is to have this formatting simply built-in, write a function that reimplements NumPy’s array formatting for a two-dimensional array "s" using loops. Assume the array contains only positive integer values.
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