Now I have seen what goes on into varfun, I am not so sure that this solution will be faster. go figure.)ĭiscussion: Initially I tried to make the varfun solution work (hence the T2 name of the result), and wanted to recommend this one, because I didn't like the table/cell/table conversion of the other solution. Notice that again we had to reassign the column headers on the newly created table ( the irony is varfun choked trying to apply the function on the column headers, but does not re-use or return them in the output. This will produce the same table than in the example 1 above. T2.Properties.VariableNames = T.Properties.VariableNames For example: cellnum2str = with that, you can now use it to convert your table: %% Use "varfun" The trick to overcome that, is to send a customised version of num2str which will accept cell arrays. As we saw above, num2str errors when met with a cell array.
TABLE MATLAB CODE
If you look at the varfun code at the line indicated by the error, you'll notice that internally, data in your table are converted to cell arrays and the function is applied to that. You'd think that a simple T2 = varfun(, T )
Varfun is for Tables the equivalent of cellfun for cell arrays.
TABLE MATLAB PLUS
These method is suitable for relatively small tables, as the round trip table/cellarray/table plus the call to cellfun will probably be quite slow for larger tables. Notice that we had to recreate the column names (copied from the initial table), as these are not transferred into the cell array during conversion. Produces a new table containing only strings. T3.Properties.VariableNames = T.Properties.VariableNames Maybe I have to save the Excelfile in an older format (i.e. Otherwise the matlab function couldn't plot them. I still believe that there exists a command to get the numeric value from the table. T3 = cell2table( cellfun(, table2cell(T), 'uni',0) ) I use the command xlsread in most of my programs, however, I hoped that readtable would be more user friendly. I recreated a table with the same data than in your example. Matlab uses copy-on-write, so passing pointers (adresses) to a function will not speed it up. The syntax for working with a tall table is very similar to that for working with a table.
TABLE MATLAB HOW TO
Tall arrays and tall tables know how to read the data in one chunk at a time, perform the calculations you want, and then gather up the output at the end. A tall table is a kind of a tall array in MATLAB. For faster code also prealocate memory for variables, Matlab requires contiguous memory usage. That can easily be done by creating a tall table. There are 2 possible way to work around that to convert all your values to character arrays: Matlab is a column vector based language, load memory columnwise rst always. num2str() is also valid), but it will bomb out if you try to throw a cell array at it (even if all your cells are numeric). However, it can deal with purely numeric arrays (e.g. Tables consist of rows and column-oriented variables. Name1,Value1.,NameN,ValueN.Yes, num2str accept a single variable of any type and will return a string, so all these operations are valid: > num2str('123') Tables Arrays in tabular form whose named columns can have different types table is a data type suitable for column-oriented or tabular data that is often stored as columns in a text file or in a spreadsheet. The argument name and Value is the corresponding value. Name-Value Pair ArgumentsĬomma-separated pairs of Name,Value arguments. When working with text data in a table or a timetable, consider using a string array or a categorical array.
Best practice is to avoid creating table or timetable variables that are character arrays. If you specify 'char' as a data type, then table preallocates the corresponding variable as a cell array of character vectors, not as a character array. Timetable with no variables and NaT for rowįor any other data type, the initial value is the value used by that type or class to "in-fill" unassigned elements of an array.
Dimension names cannot match reserved names.Variable names and dimension names must be unique.Variable names can contain leading and trailing whitespace characters.Specify Variable Names Using Any Characters.Build Table by Assigning Variables Individually.Specify Table Variables and Row Names Using String Arrays.
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