我在数据框中有一个年份列,它具有独特的值,例如
['2017', '2018', '2019', '2015', '2016', '2011', '2010', '2014',
'215', '2013', nan, '216', '217', '2008', '218', '219',
'2012', '211', '2002', '214', '17']
有些年份写得不完整。例如,217代表2017年,17代表2017年等等 是否可以在不进行硬编码替换的情况下用正确的年份替换这些值?
我自己也搜索过一些解决方案,但没有找到任何有用的东西。
最佳答案
import numpy as np
years = ['2017', '2018', '2019', '2015', '2016', '2011', '2010', '2014',
'215', '2013', np.nan, '216', '217', '2008', '218', '219',
'2012', '211', '2002', '214', '17']
corrected_years = ["20" + year[-2:] if year is not np.nan else year for year in years]
输出:
['2017', '2018', '2019', '2015', '2016', '2011', '2010', '2014', '2015', '2013', nan, '2016', '2017', '2008', '2018', '2019', '2012', '2011', '2002', '2014', '2017']
关于python - 纠正不完整的年份 - Python,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/64632362/