我的table如下
eventID countries aaffff. Japan, US, Frunce aafggg. Japan, Frunce
我想换张新table
eventID countries aaffff. Japan aaffff. US aaffff. Frunce aafggg. Japan aafggg. Frunce
由于我不知道有多少字符串，我将在国家列的功能分裂的部分不会帮助我。如果有更好的方法用python来实现，我会很高兴听到。
ddarikpa1#
In [24]: a = [{"eventID":"aaffff","countries":"Japan, US, Frunce"},{"eventID":"aafggg","countries":"Japan, Frunce"}] In [25]: df = pd.DataFrame(a) In [26]: df Out[26]: eventID countries 0 aaffff Japan, US, Frunce 1 aafggg Japan, Frunce In [28]: df["countries"] = df["countries"].str.split(",") In [29]: df Out[29]: eventID countries 0 aaffff [Japan, US, Frunce] 1 aafggg [Japan, Frunce] In [30]: df.explode("countries") Out[30]: eventID countries 0 aaffff Japan 0 aaffff US 0 aaffff Frunce 1 aafggg Japan 1 aafggg Frunce
1条答案
按热度按时间ddarikpa1#