How to change selected value text color in DropdownButtonFormField?

I am using dropdownbuttonformfield for creating dropdown. I need to change selected value text color white and dropdown items text color should be black as shown in image. I need to change color for image 1. image 1 image 2 >Solution : selectedItemBuilder: (context) { final List<DropdownMenuItem<String>> list = []; for (int i = 0;… Read More How to change selected value text color in DropdownButtonFormField?

R: Calculate percentage of observations in a column that are below a certain value for panel data

I have panel data and I would like to get the percentage of observations in a column (Size) that are below 1 million. My data is the following: structure(list(Product = c("A", "A", "A", "A", "A", "A", "B", "B", "B", "B", "B", "B", "C", "C", "C", "C", "C", "C"), Date = c("02.05.2018", "04.05.2018", "05.05.2018", "06.05.2018", "07.05.2018",… Read More R: Calculate percentage of observations in a column that are below a certain value for panel data

How to handle "The given header was not found" when paging records in c# API GET request?

I’m requesting data from an API that requires paging records based on a custom header called "cursor". Only 100 records may be retrieved per call and as such I’ve created a while loop to execute. The loop functions… until it doesn’t. Once all records are paged, the headers get dropped and my program errors out… Read More How to handle "The given header was not found" when paging records in c# API GET request?

Dynamic top 3 and percentage total using pandas groupby

I have a dataframe like as shown below id,Name,country,amount,qty 1,ABC,USA,123,4500 1,ABC,USA,156,3210 1,BCE,USA,687,2137 1,DEF,UK,456,1236 1,ABC,nan,216,324 1,DEF,nan,12678,11241 1,nan,nan,637,213 1,BCE,nan,213,543 1,XYZ,KOREA,432,321 1,XYZ,AUS,231,321 sf = pd.read_clipboard(sep=’,’) I would like to do the below a) Get top 3 based on amount for each id and other selected columns such as Name and country. Meaning, we get top 3 based id… Read More Dynamic top 3 and percentage total using pandas groupby