[英]Calculating the mean of groups in python/pandas
My grouped data looks like: 我的分组数据如下:
deviceid time
01691cbb94f16f737e4c83eca8e5f5e5390c2801 January 10
022009f075929be71975ce70db19cd47780b112f April 566
August 210
January 4
July 578
June 1048
May 1483
02bad1cdf92fbaa9327a65babc1c081e59fbf435 November 309
October 54
Where the last column represents the count. 最后一列代表计数的位置。 I obtained this grouped representation using the expression: 我使用表达式获得了这个分组表示:
data1.groupby(['deviceid', 'time'])
How do I get the average for each device id, ie, the sum of the counts of all months divided by the number of months? 如何获得每个设备ID的平均值,即所有月份的计数总和除以月数? My output should look like: 我的输出应该如下:
deviceid mean
01691cbb94f16f737e4c83eca8e5f5e5390c2801 10
022009f075929be71975ce70db19cd47780b112f 777.8
02bad1cdf92fbaa9327a65babc1c081e59fbf435 181.5
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