pivot

问题 When running the code I am facing following error. error - The column label 'Avg_Threat_Score' is not unique. I was creating a pivot table and wanted to sort the value from high to low. pt = df.pivot_table(index = 'User Name',values = ['Threat Score', 'Score'], aggfunc = { 'Threat Score': np.mean, 'Score' :[np.mean, lambda x: len(x.dropna())] }, margins = False) new_col =['User Name Count', 'AVG_TH_Score', 'Avg_Threat_Score'] pt.columns = [new_col] #befor this code is working, after that now

问题 Is it possible to know which items are checked in a PivotTable filter in case MultipleItems are allowed? I only see .Visible property to check it but it only works if multiple items are not allowed. If multiple items are allowed and checked .Visible property, you only see "ALL" instead of all items selected. Any way to do it? Dim pvt As PivotTable Dim fld As PivotField Dim itm As PivotItem Dim flt As PivotFilter Dim i As Integer Set xbFuente = ThisWorkbook Set xlDatos = xbFuente.Worksheets(

问题 I am weeks into making my first ever pivot tables, cant believe the power of them but have hit a snag I cannot overcome. I have a worksheet which has a column with raw data (manually imputed) Then I have another 2 columns that calculate the difference from the previous month and the % difference. This works fine. As you can see January 2015 is blank as the difference field is looking for the previous month and January is the first month. how can I get it to understand to look at December 2014

问题 I have three tables as below. submission1_header Submission1_id Submission2_id Name 100 500 Rahul 200 500 Deva submission1_details Submission1_id Submission2_id Question_no Answer 100 500 1 YES 100 500 2 YES 100 500 3 NO 100 500 4 NO 100 500 5 YES 200 501 1 YES 200 501 3 YES 200 501 4 YES submission2_details Submission2_id Question_no Answer 500 1 YES 500 2 YES 501 1 YES 501 2 YES 501 3 NA Using below query I got the output as below (which is joining first two tables only) =================

问题 What is pivot? How do I pivot? Is this a pivot? Long format to wide format? I've seen a lot of questions that ask about pivot tables. Even if they don't know that they are asking about pivot tables, they usually are. It is virtually impossible to write a canonical question and answer that encompasses all aspects of pivoting.... ... But I'm going to give it a go. The problem with existing questions and answers is that often the question is focused on a nuance that the OP has trouble

问题 What is pivot? How do I pivot? Is this a pivot? Long format to wide format? I've seen a lot of questions that ask about pivot tables. Even if they don't know that they are asking about pivot tables, they usually are. It is virtually impossible to write a canonical question and answer that encompasses all aspects of pivoting.... ... But I'm going to give it a go. The problem with existing questions and answers is that often the question is focused on a nuance that the OP has trouble

问题 I am not sure what title has to be here to correctly reflect my question, I can only describe what I want. There is a table with fields: id, name, city There are next rows: 1 John London 2 Mary Paris 3 John Paris 4 Samy London I want to get a such result: London Paris Total 2 2 John 1 1 Mary 0 1 Samy 1 0 So, I need to take all unique values of name and find an appropriate quantity for unique values of another field (city) Also I want to get a total quantity of each city Simple way to do it is

问题 I am not sure what title has to be here to correctly reflect my question, I can only describe what I want. There is a table with fields: id, name, city There are next rows: 1 John London 2 Mary Paris 3 John Paris 4 Samy London I want to get a such result: London Paris Total 2 2 John 1 1 Mary 0 1 Samy 1 0 So, I need to take all unique values of name and find an appropriate quantity for unique values of another field (city) Also I want to get a total quantity of each city Simple way to do it is

问题 I am not sure what title has to be here to correctly reflect my question, I can only describe what I want. There is a table with fields: id, name, city There are next rows: 1 John London 2 Mary Paris 3 John Paris 4 Samy London I want to get a such result: London Paris Total 2 2 John 1 1 Mary 0 1 Samy 1 0 So, I need to take all unique values of name and find an appropriate quantity for unique values of another field (city) Also I want to get a total quantity of each city Simple way to do it is

问题 I want to apply pairwise.wilcox.test function using dplyr package. I am using the following code library(tidyverse) tbl_df(df)%>% pivot_longer(cols = -Class, names_to = "Wavelengths", values_to = "value") %>% group_by(Wavelengths) %>% summarize(pairwise.wilcox.test(value, as.factor(Class), p.adjust.method="bonf")$p.value) It is giving me the following error Error: Column pairwise.wilcox.test(try$value, as.factor(try$Class), p.adjust.method = "bonf")$p.value must be length 1 (a summary value),