NFL选秀数据的获取、分析与价值评估
1. 数据列的重新排序与选择
在处理数据时，我们可能需要对某些列进行重新排序和选择。例如，我们可能只需要六列，并改变它们的顺序。以下是Python代码示例：
draft_py_use = \
draft_py[["Season", "Pick", "Tm", "Player", "Pos", "wAV", "DrAV"]]
print(draft_py_use)
运行上述代码后，输出结果如下： | Season | Pick | Tm | Player | Pos | wAV | DrAV | | — | — | — | — | — | — | — | | 2000 | 1 | CLE | Courtney Brown | DE | 27.0 | 21.0 | | 2000 | 2 | WAS | LaVar Arrington | LB | 46.0 | 45.0 | | 2000 | 3 | WAS | Chris Samuels | T | 63.0 | 63.0 | | 2000 | 4 | CIN | Peter Warrick | WR | 27.0 | 25.0 | | 2000 | 5 | BAL | Jamal Lewis | RB | 69.0 | 53.0 | | … | … | … | … | … | … | … | | 2022 | 258 | GNB | Samori Toure | WR | 1.0 | 1.0 | | 2022