概述
I want to use Pandas and Python to iterate through my .csv file and group the data by seasons calculating the mean for each season in the year. Currently the quarterly script does Jan-Mar, Apr-Jun etc. I want the seasons correlate to months by - 11: 'Winter', 12: 'Winter', 1: 'Winter', 2: 'Spring', 3: 'Spring', 4: 'Spring', 5: 'Summer', 6: 'Summer', 7: 'Summer',
8: 'Autumn', 9: 'Autumn', 10: 'Autumn'
I have the following data:
Date,HAD
01/01/1951,1
02/01/1951,-0.13161201
03/01/1951,-0.271796132
04/01/1951,-0.258977158
05/01/1951,-0.198823057
06/01/1951,0.167794502
07/01/1951,0.046093808
08/01/1951,-0.122396694
09/01/1951,-0.121824587
10/01/1951,-0.013002463
This is my code so far:
最后
以上就是从容大白为你收集整理的pandas 季度,使用python和pandas按季度分组数据的全部内容，希望文章能够帮你解决pandas 季度,使用python和pandas按季度分组数据所遇到的程序开发问题。
如果觉得靠谱客网站的内容还不错，欢迎将靠谱客网站推荐给程序员好友。
发表评论 取消回复