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我是新来的蟒蛇和大熊猫。我们如何在多列上应用groupby和aggregate来忽略空白/无/ NaN值? 基本上,我想聚合日期的列,并采取其余列忽略None /空白/ NaN值的计数。熊猫群体聚合忽略空白或无值
例子: 我有这样的数据:
ID Ra out recommen navi Time
0 1 7 None None NaN 2013-11-11
1 2 1 None None 3 2013-11-11
2 5 5 None None 1 2013-11-12
3 6 9 None None NaN 2013-11-12
4 9 2 None None NaN 2013-11-12
5 10 10 None None NaN 2013-11-12
6 11 10 None None NaN 2013-11-12
7 12 10 None None NaN 2013-11-12
8 13 5 None None NaN 2013-11-12
我试图应用GROUPBY和指望这些值作为agregation功能:日常= df.groupby (“时代”)数( )
这给了我:
ID Ra out recommen navi Time
2 2 2 2 2 2013-11-11
7 7 7 7 7 2013-11-12
教人口会d输出为:
ID Ra out recommen navi Time
2 0 0 0 1 2013-11-11
7 0 0 0 1 2013-11-12
Thankyou提前!