[英]Pandas - How to sort_values by 2 different columns using 2 different keys
After your first sort_values
在你的第一个
sort_values
df.groupby('col1').apply(lambda x: x.sort_values('col2',ascending=False)).reset_index(level=0, drop=True)
Yes it is doable!是的,这是可行的! the trick is to have the key containing all values used in the sort
诀窍是让键包含排序中使用的所有值
here is an example:这是一个例子:
def make_sorter(l):
sort_order = {k:v for k,v in zip(l, range(len(l)))}
return lambda s: s.map(lambda x: sort_order[x])
a = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday']
b = ['Windows', 'Android', 'iPhone', 'Macintosh', 'iPad', 'ChromeOS', 'Linux']
df.sort_values(by=['days','device'], key=make_sorter(a+b), inplace=True)
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.