pandas有g(shù)roupby分組函數(shù)和sort_values排序函數(shù)，但是如何對(duì)dataframe分組之后排序呢？

In [70]: df = pd.DataFrame(((random.randint(2012, 2016), random.choice(['tech', 'art', 'office']), '%dk-%dk'%(random.randint(2,10), random.randint(10, 20)), '') for _ in xrange(10000)), columns=['publish_time', 'classf', 'salary', 'title'])In [71]: df.head()Out[71]: publish_time classf salary title0   2012  art 2k-19k1   2014 office 5k-17k2   2013 office 2k-10k3   2013  art 5k-14k4   2013  art 2k-14kIn [72]: df.groupby(['publish_time', 'classf', 'salary']).count()['title'].groupby(level=0, group_keys=False).nlargest(10)Out[72]:publish_time classf salary2012   art  7k-13k  18      4k-13k  16    tech 3k-12k  14    art  6k-16k  13      8k-15k  13    office 5k-18k  13    tech 4k-14k  13

以上這篇pandas多級(jí)分組實(shí)現(xiàn)排序的方法就是小編分享給大家的全部?jī)?nèi)容了，希望能給大家一個(gè)參考，也希望大家多多支持武林站長(zhǎng)站。