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xlreadwrite toolbox

read and write xls and xlsx files

(9120 downloads for this version - 24324 downloads for all versions)

Details

Version

1.2.4

Author

Stéphane Mottelet

Owner Organization

Université de Technologie de Compiègne

Maintainer

Stéphane MOTTELET

Category

Data Handling

Website

https://gitlab.com/mottelet/xlreadwrite

License

GPL (3.0)

Creation Date

April 13, 2021

Source created on

Scilab 6.1.x

Binaries available on

Scilab 6.1.x:

Windows 64-bit

Windows 32-bit

Linux 64-bit

Linux 32-bit

macOS

Scilab 2023.1.x:

Windows 64-bit

Windows 32-bit

Linux 64-bit

Linux 32-bit

macOS

Scilab 2024.0.x:

Windows 64-bit

Windows 32-bit

Linux 64-bit

Linux 32-bit

macOS

Scilab 2025.0.x:

Windows 64-bit

Windows 32-bit

Linux 64-bit

Linux 32-bit

macOS

Install command

--> atomsInstall("xlreadwrite")

Report a bug

GitLab's issues for xlreadwrite

Description

            This toolbox allows to read and write Excel BIFF8 .xls files and .xslx files in
a transparent way, with the same syntax as the Matlab functions xlsread and
xlswrite. It is based on the Apache POI Java library.

Files (6)

[656 bytes]

changelog.txt

Miscellaneous file

Upload date : 2021-04-13 22:00:21
MD5         : 7ee78522ff2dab39b51c436cb51a65c6
SHA1        : 8260a53c6f6e801a03f0fa96db424d31561c5cdf
Downloads   : 741

[20.72 MB]

xlreadwrite-1.2.4-1.bin.zip

OS-independent binary for Scilab 6.1.x

Upload date : 2021-04-13 22:24:19
MD5         : 8c2934a90e7a117ccac2f09144c73797
SHA1        : e5c779f70336d5f51f7b79c5308c9c3dbb123887
Downloads   : 6947

[20.72 MB]

xlreadwrite-1.2.4-2.bin.zip

OS-independent binary for Scilab 2023.1.x

Upload date : 2023-08-28 13:55:26
MD5         : ef2ba97a3384cc9e3ac4f61f1e9dc7ee
SHA1        : 8a64ff89337d828b21320d3a12ce98dec81cff51
Downloads   : 255

[41.39 MB]

xlreadwrite-1.2.4-3.bin.zip

OS-independent binary for Scilab 2024.0.x

Upload date : 2024-04-17 23:09:17
MD5         : cfb37e6bc0125f174c5a7021bbb4ec20
SHA1        : 73ccd1b889f28dd29dd64f94cfa0b4221d1ffedf
Downloads   : 406

[20.72 MB]

xlreadwrite-1.2.4.bin.2025.zip

OS-independent binary for Scilab 2025.0.x

Upload date : 2024-12-05 14:24:07
MD5         : f8d1045e30887063c7fe4ad4fb24bc2d
SHA1        : a771de5ba86ef1e495e11281f2ab0cdc784bb576
Downloads   : 197

[20.65 MB]

xlreadwrite-1.2.4.src.zip

Source code archive

Upload date : 2021-04-13 22:00:21
MD5         : 7a27c82755897deb0b54593d6c277ec7
SHA1        : 9d1a8e8f3ff1b97646b7c5e367c88e02c35e396c
Downloads   : 574

News (0)

Comments (1) ↑ Leave a comment

Comment from David Chèze -- February 17, 2025, 11:37:04 AM

Hi, 
I'm using succesfully the xlreadwrite module to retrieve tabular data among several
sheets 
(4) from xlsx experimental files, about 1-5 Mo size. I'm wondering about the required
time 
to import the data into scilab, several minutes (~3). The import of the same data copied in

csv file would last only a few ms in comparison.
The amount of data is not that high (output value= xlread(myfile,4) is 30000x4 matrix of 
doubles).
I'm running scilab 2025.0.0 on WIN10-64bits machine.

Thank you for any clue to understand this behaviour,

David

Answer from Stéphane MOTTELET

-- February 17, 2025, 01:21:05 PM

Hello,

xlreadwrite has always been slow as it is based on a Java library and on pure Scilab code.

If you have raw matrices of numeric data, the xlsx format is definitely not convenient.

S.

> Hi, 
> I'm using succesfully the xlreadwrite module to retrieve tabular data among
several
> sheets 
> (4) from xlsx experimental files, about 1-5 Mo size. I'm wondering about the
> required time 
> to import the data into scilab, several minutes (~3). The import of the same data
copied
> in 
> csv file would last only a few ms in comparison.
> The amount of data is not that high (output value= xlread(myfile,4) is 30000x4 matrix
of
> 
> doubles).
> I'm running scilab 2025.0.0 on WIN10-64bits machine.
> 
> Thank you for any clue to understand this behaviour,
> 
> David
> 
>