Hello, I am currently making a project organization tool in Dash, and my main goal right now is to show a table-like calendar where the rows are each project a dataframe is storing, and the columns are the weeks of the year (divided into week and weekend). This “table/calendar” should have a scroll bar to navigate through the year, and colour the table cells according to the dates and deadlines of each project (in red: weeks that the project is going to be worked, and black: the deadlines of each project).
This is a general example of what I wanna achieve:
My problem is, this is not a normal table. Tables are supposed to show labeled information, and in this one, if I want to do it correcly, I would need to point to each cell based on the date it correspond (for example, if I have a deadline the 14th of April, the weekend of the week 16 in that project would turn black), but I dont know any other way to make something like this. I found this topic where they made a heatmap calendar which looks pretty cool, but I cannot use that for my intentions.
So, how can I show in my interface a whole year, divided in weeks and weekends, scrollable and with individual independent coloured cells?
Thanks, it is just that I feel wrong using dataframes for this kind of application. I want to make it all configure itself automatically based on the info I already have on another dataframe. Editing the table would be a feature in the future, but for now I want to see the data I already have stored.
If you already have the information in a table you just use this information to bild the conditional format of the table, it is all done automatically.
Let me give you an example: I have an app to analyze Companies and one of the analysis is to see if some “Ratios” are good or bad, then I use data conditional to change the backgroud color depending on the information stored in the cell.