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2026.1.0 - 日本語


readtable

create a table from a file

Syntax

t = readtable(filename)
t = readtable(filename, opts)

t = readtable(filename, OptionName, Value, ...)
t = readtable(filename, opts, OptionName, Value, ...)

Arguments

filename

path or name of file to read. Accepted formats: ".xslx", ".csv", ".txt" and ".dat".

opts

file import options obtained by detectImportOptions

Optional pairs OptionName, Value are:

"VariableNames", vector of strings

extracts from the file only the data corresponding to the entered variable names.

"ReadRowNames", boolean

the first column of the file will be stored in the RowNames property of the table t. Default value: %f.

"ReadRowNames", boolean

the first column of the file will be stored in the RowNames property of the table t. Default value: %f.

"Sheet", a string (sheet_name) or positive integer (sheet_index)

specify which sheet to read. Available option only is for Excel files. Default value: first sheet (index 1).

"Range", string or double

A string or 2x2 matrix specifying the range of cells to read.

String formats: "A1:C10" (cell range), "A:C" (column range), "1:3" (row range), "B5" (first cell), "B" (first column), "3" (first row).

Matrix format: [row1 col1; row2 col2] where all values are positive integers >= 1.

Default value: "".

Available option only is for Excel files.

t

output argument - table object.

Description

The readtable function creates a table from a file. Each column of file is stored in variables. If however the columns have no name, then the default variable names are used (["Var1", ..., "VarN"]). Accepted file formats are .txt, .dat, .csv and .xlsx.

readtable detects the format file thanks to detectImportOptions function. opts contains all information on the file.

To extract only the necessary variables (columns), use t = readtable(filename, "VariableNames", value).

t = readtable(filename, ..., "ReadRowNames", val) creates a table with row names, i.e, the first column of file is stored in RowNames property of t.

Examples

t = readtable(filename)

Code = ["AF"; "NA"; "OC"; "AN"; "AS"; "EU"; "SA"];
NameContinent = ["Africa"; "North America"; "Oceania"; "Antarctica"; "Asia"; "Europe"; "South America"];
Area = [30065000; 24256000; 7687000; 13209000; 44579000; 9938000; 17819000]; // in km2
NumberCountry = [54; 23; 14; %nan; 47; 45; 12]; 
LifeExpectancy = [60; 78; 75; %nan; 72; 75; 74]; // in years

t = table(Code, NameContinent, Area, NumberCountry, LifeExpectancy, ...
    "VariableNames", ["Code", "NameContinent", "Area", "NumberCountry", "LifeExpectancy"])

// Write the table in CSV file
writetable(t, fullfile(TMPDIR, "data.csv"))

// Read the CSV file with readtable
r = readtable(fullfile(TMPDIR, "data.csv"))

t = readtable(filename, "VariableNames", value)

Code = ["AF"; "NA"; "OC"; "AN"; "AS"; "EU"; "SA"];
NameContinent = ["Africa"; "North America"; "Oceania"; "Antarctica"; "Asia"; "Europe"; "South America"];
Area = [30065000; 24256000; 7687000; 13209000; 44579000; 9938000; 17819000]; // in km2
NumberCountry = [54; 23; 14; %nan; 47; 45; 12]; 
LifeExpectancy = [60; 78; 75; %nan; 72; 75; 74]; // in years

t = table(Code, NameContinent, Area, NumberCountry, LifeExpectancy, ...
    "VariableNames", ["Code", "NameContinent", "Area", "NumberCountry", "LifeExpectancy"])

// Write the table in CSV file
writetable(t, fullfile(TMPDIR, "data.csv"))

// Read the CSV file with readtable
r = readtable(fullfile(TMPDIR, "data.csv"), "VariableNames", ["NameContinent", "NumberCountry", "Area"])

t = readtable(filename, "ReadRowNames", value)

Code = ["AF"; "NA"; "OC"; "AN"; "AS"; "EU"; "SA"];
NameContinent = ["Africa"; "North America"; "Oceania"; "Antarctica"; "Asia"; "Europe"; "South America"];
Area = [30065000; 24256000; 7687000; 13209000; 44579000; 9938000; 17819000]; // in km2
NumberCountry = [54; 23; 14; %nan; 47; 45; 12]; 
LifeExpectancy = [60; 78; 75; %nan; 72; 75; 74]; // in years

t = table(Code, NameContinent, Area, NumberCountry, LifeExpectancy, ...
    "VariableNames", ["Code", "NameContinent", "Area", "NumberCountry", "LifeExpectancy"])

// Write the table in CSV file
writetable(t, fullfile(TMPDIR, "data.csv"))

// Read the CSV file with readtable
r = readtable(fullfile(TMPDIR, "data.csv"), "ReadRowNames", %t)
r.Properties.RowNames

t = readtable(filename, "Sheet", value)

dt = datetime() + hours(0:4)';
double = [12.5; 8; 0.75; 53.26; 8.42];
bool = [%t; %f; %t; %f; %t];
str = "A" + string(0:4)';
t = table(dt, double, bool, str, "VariableNames", ["datetime","double", "bool", "string"])

//           datetime           double   bool   string
//    _______________________   ______   ____   ______
//                                                        
//    2026-03-27 12:02:13.297   12.5     T      A0    
//    2026-03-27 13:02:13.297   8        F      A1    
//    2026-03-27 14:02:13.297   0.75     T      A2    
//    2026-03-27 15:02:13.297   53.26    F      A3    
//    2026-03-27 16:02:13.297   8.42     T      A4    

path = fullfile(TMPDIR, "table.xlsx");
xlsxSheet(path, "create", "tableSheet"); // create tableSheet
writetable(t, path, "sheet", "tableSheet"); // write table in tableSheet
t2 = readtable(path, "sheet", "tableSheet")

// t2 = [5x4 table]

//          datetime           double   bool   string
//   _______________________   ______   ____   ______
//                                                   
//   2026-03-27 12:02:13.297   12.5     T      A0    
//   2026-03-27 13:02:13.297   8        F      A1    
//   2026-03-27 14:02:13.297   0.75     T      A2    
//   2026-03-27 15:02:13.297   53.26    F      A3    
//   2026-03-27 16:02:13.297   8.42     T      A4

See also

  • writetable — write a table to file
  • table — create a table from variables

History

バージョン記述
2024.0.0 Introduction in Scilab.
2026.1.0

Empty columns are now preserved. Previously, columns with missing or undefined names were not returned. Similarly, columns with a defined name but containing no data were ignored. As a result, the returned table accurately reflects the original data.

2026.1.0

readtable can now read Excel (.xlsx) files.

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Last updated:
Tue May 19 14:05:53 CEST 2026