[英]Pandas Pivot_table with different dtype values
I have a particularly strange behavior from pivot_table (or at least I think it is...) 我在pivot_table中有一个特别奇怪的行为(或者至少我认为是...)
I have got a dataframe
extracted from database with dates that I use with pivot table to do some basics stats: 我从数据库中提取了一个
dataframe
,其中包含与dataframe
透视表一起使用以执行一些基本统计信息的日期:
pd.pivot_table(df,values["Diff_DGach_Dcent","Diff_DepCh_BoxPlt","Attente_totale"],
index=['id_chantier',"date_bl"], aggfunc=np.sum,fill_value=0)
I can pivot table on these fields but if I also add the fied "Cpt" to the values (it's a simple int field with 1 in it) to count how many lines are grouped by the pivot table , it'll only display the Cpt field but no more the timedelta ones... 我可以在这些字段上使用数据透视表,但是如果我还将fied“ Cpt”添加到值(这是一个简单的int字段,其中包含1)以计算数据透视表分组了多少行,则只会显示Cpt字段,但不再是timedelta的...
Is it impossible to do the pivot table on different dtype ? 是否可以在不同的dtype上执行数据透视表?
EDIT : Sample of Data to be processed 编辑:要处理的数据样本
Diff_DGach_Dcent Diff_DepCh_BoxPlt Attente_totale Cpt
00:21:00 00:45:00 01:23:00 1
00:26:00 00:18:00 02:16:00 1
00:15:00 00:18:00 01:25:00 1
00:25:00 00:18:00 01:25:00 1
00:26:00 00:10:00 01:20:00 1
00:20:00 00:14:00 01:38:00 1
You should set the columns
parameter to specify the group that you want the values
to be grouped on. 您应该设置
columns
参数以指定要对values
进行分组的组。
Do you have sample data? 你有样本数据吗?
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