Split Table data based on Day Names

1 visualización (últimos 30 días)
Ganesh Naik
Ganesh Naik el 16 de Abr. de 2021
Comentada: Star Strider el 17 de Abr. de 2021
Hi all, I would like to split the table data based on Day Names (sample data attached). In detail, for my data I would like to split the table data for Monday, Tuesday etc (seven days) separately. Many thanks in advance

Respuesta aceptada

Star Strider
Star Strider el 16 de Abr. de 2021
Try this:
C1 = readcell('Sample.csv');
[G,ID] = findgroups(C1(:,6));
% Idx = [4 2 6 7 5 1 3]; % Manual Ordering
DayCell = splitapply(@(x){x}, C1, G);
DayStruct = cell2struct(DayCell,ID)
producing:
DayStruct =
struct with fields:
Friday: {41×8 cell}
Monday: {32×8 cell}
Saturday: {41×8 cell}
Sunday: {40×8 cell}
Thursday: {32×8 cell}
Tuesday: {33×8 cell}
Wednesday: {31×8 cell}
.
  2 comentarios
Ganesh Naik
Ganesh Naik el 17 de Abr. de 2021
Hi Star Strider thank you very much for the answer. It is working for me. I am going to accept this answer.
Star Strider
Star Strider el 17 de Abr. de 2021
As always, my pleasure!
Thank you!

Iniciar sesión para comentar.

Más respuestas (1)

Steven Lord
Steven Lord el 16 de Abr. de 2021
Do you want to have seven individual variables or do you want to operate on the set of rows in your table data where each row in the set has the same day name?
If the latter look at findgroups, splitapply, groupsummary, grouptransform, and the other functions listed in the "See Also" sections of the documentation pages for those functions. The stack or unstack functions may also be of interest. Alternately turn your table array into a timetable array and see if retime does what you want.
  1 comentario
Ganesh Naik
Ganesh Naik el 17 de Abr. de 2021
Hi Steve, thanks for your answer. I will go through with all the commands in detail.

Iniciar sesión para comentar.

Categorías

Más información sobre Tables en Help Center y File Exchange.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by