Find max within due date and find max within due date by class section
7 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
Sunshine
il 19 Mag 2024
Commentato: Peter Perkins
il 29 Mag 2024
I am able to find the max of the date_submitted. How do I find the max of the date_submitted but within the Lab_due_date column? Also, how do I find the max of the date_submitted within the Lab_due_date by class_section?
0 Commenti
Risposta accettata
Ayush Modi
il 20 Mag 2024
Modificato: Ayush Modi
il 20 Mag 2024
Hi,
To find the latest date_submitted that is before the Lab_due_date for each class_section, you first need to format the data in the two column to be comparable. You can acheive this using datatime function.
data.date_submitted = datetime(data.date_submitted, 'InputFormat', 'MM/dd/yyyy HH:mm');
data.Lab_due_date = datetime(data.Lab_due_date, 'InputFormat', 'MM/dd/yyyy, hh:mm a zzz', 'TimeZone', 'America/Chicago', 'Locale', 'en_US');
data.Lab_due_date.TimeZone = '';% Group by user_id
Then, group the data by the desired category using findgroups function.
grouped = findgroups(data.user_id);
To get the date_submitted that is before the Lab_due_date:
uniqueGroups = unique(data.class_section); % Assuming class_section is a cell array of strings
maxDatesByGroup = NaT(size(uniqueGroups)); % Preallocate with Not-a-Time (NaT)
for i = 1:length(uniqueGroups)
% Filter data for the current group using strcmp for cell array comparison
currentGroupFilter = strcmp(data.class_section, uniqueGroups{i});
currentGroupData = data(currentGroupFilter, :);
% Ensure Lab_due_date and date_submitted are datetime arrays before comparison
validSubmissions = currentGroupData.date_submitted <= currentGroupData.Lab_due_date(1);
% Find the maximum date_submitted that meets the criteria
if any(validSubmissions)
maxDatesByGroup(i) = max(currentGroupData.date_submitted(validSubmissions));
end
end
Please refer to the following MathWorks documentation for more information on:
3 Commenti
Più risposte (1)
Peter Perkins
il 29 Mag 2024
This is much simpler than the accepted answers suggests. And you want to use categorical for categorical data, not text.
%t = readtable("lab3_14_37_lower_participants_copy.csv");
%t.date_submitted.TimeZone = "America/Chicago";
%t.Lab_due_date = datetime(t.Lab_due_date,InputFormat="MM/dd/uuuu, HH:mm a z",TimeZone="America/Chicago")
I'm gonna assume you don't want to work with time zones; your updated file does not contain the CDT offsets.
t = readtable("https://www.mathworks.com/matlabcentral/answers/uploaded_files/1702791/lab3_14_37_lower_participants_copy_update.csv");
t = convertvars(t,["user_id" "email" "class_section"],"categorical");
Your file has exactly one unique due date. Let's add some more data.
n = 50;
t = [t; t; t]
t.date_submitted(51:100) = t.date_submitted(51:100) + calmonths(1);
t.Lab_due_date(51:100) = t.Lab_due_date(51:100) + calmonths(1);
t.date_submitted(101:150) = t.date_submitted(101:150) + calmonths(2);
t.Lab_due_date(101:150) = t.Lab_due_date(101:150) + calmonths(2);
Now that that's done, computing the max submit dates is one line. No loops.
groupsummary(t,"Lab_due_date","day","max","date_submitted")
With two grouping vars, still one line.
groupsummary(t,["Lab_due_date" "class_section"],["day" 'none'],"max","date_submitted")
2 Commenti
Peter Perkins
il 29 Mag 2024
doc groupsummary: "You also can specify method as a function handle that returns one output per group whose first dimension has length 1. For table input data, the function operates on each table variable separately."
Vedere anche
Categorie
Scopri di più su Dates and Time in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!