Trying to concentrate a cell containing tables
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Or Shem Tov
el 1 de Abr. de 2020
Hi guys
I have quite a big cell array here with each cell contains a 1x6 table.
I'm trying to take the data out of each cell out to present all of it on one table...
It doesn't let me use the vertcat though because the first column of each one of these tables is of the type "datetime" and I get this message:
% Error using concentrate (line 6)
% An error occurred when concatenating the table variable 'Date' using VERTCAT.
%
% Caused by:
% Error using datetime/vertcat (line 1348)
% All inputs must be datetimes or date/time character vectors or date/time strings.
By the way, I don't mind removing the whole date column... I tried that, it might be why I'm getting this error message...
I want to go from state 1 here to state 2:
THANKS TO ANYBODY WHO HELPS!
9 comentarios
Adam Danz
el 2 de Abr. de 2020
Yes, I understand.
But, you cannot have a blank row within a table of numeric values. It's not possible.
You can, however, use NaN values to fill the empty rows which is what I'm suggesting you do.
Example:
7×4 table
Var1 Var2 Var3 Var4
____ ____ ____ ____
8 1 4 2
8 2 9 2
3 8 4 4
2 3 2 8
NaN NaN NaN NaN
4 1 2 4
8 7 6 7
Respuesta aceptada
Adam Danz
el 2 de Abr. de 2020
Editada: Adam Danz
el 2 de Abr. de 2020
Summary of comments under the question:
1) Remove the datetime column from each table.
T_noDT = cellfun(@(T){T(:,2:end)}, c)
2) To maintain the index number of each table after concatenating, fill empty cells with tables of missing data.
% C is your cell array
% If this is done before you remove the datetime column,
C(cellfun(@isempty, C)) = {table(NaT, nan, nan, nan, nan, nan)};
% If this is done after you remove the datetime column,
C(cellfun(@isempty, C)) = {table(nan, nan, nan, nan, nan)};
Updated to show that this works with OP's data
% Clear out the workspace and load the data
clear
load('historyfile.mat', 'history3')
% remove 1st col
C = cellfun(@(T){T(:,2:end)}, history3);
% Replace empties with nan tables; use headers from 1st table
% This assumes the first element of history3 is not empty.
C(cellfun(@isempty, C)) = {table(nan, nan, nan, nan, nan, ...
'VariableNames', C{1}.Properties.VariableNames)};
% Vertically concatenate
T = vertcat(C{:});
% Show the first few rows
T(1:10, :)
% ans =
% 10×5 table
% High Low Open Close Volume
% ______ ______ ______ ______ __________
% 159.7 124.5 131.79 157.99 7.0769e+06
% 159.7 124.5 131.79 157.99 7.0769e+06
% 416 389.01 404.3 396.29 6.023e+05
% 416 389.01 404.3 396.29 6.023e+05
% 25.93 25.29 25.44 25.67 5.3935e+06
% 170.2 167.08 168.87 169.39 7.612e+05
% 102.13 98.028 99.55 101.17 5.573e+05
% 125.57 122.37 124.4 124.55 3.0624e+06
% 81.61 80.52 80.72 80.84 2.8356e+06
% 103.95 98.41 103.5 99.81 1.3078e+06
3 comentarios
Adam Danz
el 2 de Abr. de 2020
Could you share the entire copy-pasted error message? It may be easier if you attach a mat file with the history3 variable.
Here's evidence that this should work
C{1,1} = table(datetime('now'), 1,2,3,4,5);
C{2,1} = table(datetime('now'), 1,2,3,4,5);
C{3,1} = [];
C{4,1} = [];
C{5,1} = table(datetime('now'), 1,2,3,4,5);
C(cellfun(@isempty, C)) = {table(NaT, nan, nan, nan, nan, nan)};
T = vertcat(C{:})
% T =
% 5×6 table
% Var1 Var2 Var3 Var4 Var5 Var6
% ____________________ ____ ____ ____ ____ ____
% 01-Apr-2020 22:32:12 1 2 3 4 5
% 01-Apr-2020 22:32:12 1 2 3 4 5
% NaT NaN NaN NaN NaN NaN
% NaT NaN NaN NaN NaN NaN
% 01-Apr-2020 22:32:12 1 2 3 4 5
Más respuestas (1)
Or Shem Tov
el 2 de Abr. de 2020
5 comentarios
Adam Danz
el 2 de Abr. de 2020
Editada: Adam Danz
el 2 de Abr. de 2020
If you look at my updated answer, it does work. The problem was that this line
C(cellfun(@isempty, C)) = {table(nan, nan, nan, nan, nan)};
correctly filled the cell array with a NaN table but the variable names did not match the other tables' variable names. Since it didn't have the same variable names as the other tables, they couldnt' be vertically concatenated. Note that this produces a different error than the ones you shared.
If you look at my updated answer, it works with the data you provided. If you'd rather use 1s than NaNs, you can replace the NaNs in that line of code.
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