Pandas：时间数据的季节分析

最近在做论文的数据处理，涉及到不同年份不同季节的分析。另外还要求不同季节的数据可以单独分析。

其实思路还是比较简单的，那就在原始数据中增加一栏：季节

2013-05-21  Aotizhongxin  124.3  Spring
2013-05-22  Aotizhongxin   85.7  Spring
2013-05-23  Aotizhongxin   71.2  Spring
2013-05-24  Aotizhongxin   75.6  Spring
2013-05-25  Aotizhongxin   95.5  Spring
2013-05-26  Aotizhongxin   93.4  Spring
...                  ...    ...     ...
2015-10-13   Zhonghuamen   75.6  Autumn
2015-10-14   Zhonghuamen   98.8  Autumn
2015-10-20   Zhonghuamen   48.3  Autumn
2015-10-21   Zhonghuamen   47.2  Autumn
2015-10-22   Zhonghuamen   70.5  Autumn
2015-10-23   Zhonghuamen  103.3  Autumn
2015-10-24   Zhonghuamen   78.6  Autumn

直接上相关的代码吧：

DF['Season'] = ""
for row in DF.index:
    DF.Season[row] = SeasonDict[row.month]
DFWinter = DF[DF.Season == 'Winter']

剩下的就是根据自己的需求进行作图了。

#参考#

• http://stackoverflow.com/questions/19615667/pandas-groupby-and-summing-over-specific-months