将 15 分钟数据重新采样为 30 分钟

Question

Im using the resampling function in pandas to sum up two 15 minutes interval data into 30 minutes interval data for a data frame. it works but the answer i get is just that for the results recorded at the 30th minutes , not the addition of the recorded results at the 15th and the 30th minute. Any help please?

Below is the code i used for the resampling and the results for that: series["30mins"]= series.resample('2T',label="right",closed="right").sum() time 15 mins rainfall 30mins 2020-09-13 06:45:00 2.587 nan 2020-09-13 07:00:00 2.621 2.621 2020-09-13 07:15:00 1.617 nan 2020-09-13 07:30:00 5.748 5.748

Answer 1

Instead of using series["30mins"]= series.resample('2T',label="right",closed="right").sum()

try

series["30mins"]= series.resample('2T').agg({'column name': 'sum'})

It worked for me.