MATLAB: Convert an [10,1] Array into an [1,10] Array

arrrayconvertlistbox

Hey Guys,

If u want to get the Data of a listbox, u always get an [n,1] Array. n = number of content in the listbox

However, I want the Array to be an [1,n] Array.

So how can I convert it ?

Best Answer

A=[1;2;3]
B=A'

Related Solutions

MATLAB: HDF5 V1.10

MATLAB as of R2018a cannot read v1.10 HDF5 files and therefore support SWMR. The HDF5 library version used in either R2017b or R2018a:

>> [ver_major,ver_minor,ver_patch] = H5.get_libversion
ver_major =
   1
ver_minor =
   8
ver_patch =
  12

From the HDF5 SWMR Users Guide:

"Word of Caution: Please note that HDF5 files created with SWMR access cannot not be read by the tools based on the HDF5 1.8 libraries due to the file format changes in the HDF5 1.10 version of the library. [...] One can use the h5repack or h5format_convert tools to convert an HDF5 file created by the HDF5 Library version 1.10.0 to be accessible by the HDF5 Library version 1.8. The h5repack tool rewrites the whole file; h5format_convert modifies the file “in place” by rewriting only metadata information according to the 1.8 format while leaving raw data intact."

Here's what happens if you try to query a SWMR-enabled file:

>> h5disp('swmr_test.h5')
Error using h5infoc
The filename specified was either not found on the MATLAB path or it contains unsupported characters.
Error in h5info (line 102)
    hinfo = h5infoc(filename,location, useUtf8);
Error in h5disp>display_hdf5 (line 112)
    hinfo = h5info(options.Filename,options.Location);
Error in h5disp (line 90)
display_hdf5(options);

Using the commandline tool provided with the official library:

>> !h5ls swmr_test.h5
x                        Dataset {64, 64, 1, 1000/Inf}

It would be terrific if MathWorks considered reaching feature parity with the HDF5 library or leading wrappers like h5py within at least 1-2 years of breaking changes :)...

MATLAB: CUDA 10.1 not recognized (searching for CUDA 10.0 instead)

Unfortunately, the situation here is admittedly somewhat confusing. There are two relevant pieces of software going on here, both related to CUDA, both potentially with different version numbers. These are:

The CUDA driver. It is (nearly) always fine to simply install the latest CUDA driver on your system. NVIDIA guarantees backwards compatibility for the driver, and so older software can run without problems using a newer driver. gpuDevice shows you the CUDA version number of your driver in the DriverVersion property.
The CUDA toolkit. This is needed only when building MEX files using mexcuda. In this case, it's important that the version of the toolkit that you use matches the version of the toolkit that was used to build MATLAB. gpuDevice shows you that version in the ToolkitVersion property.

So, the fact that you have a CUDA 10.1 toolkit and are trying to use it with a version of MATLAB built with the 10.0 toolkit is the problem - you should download and install the 10.0 toolkit from the NVIDIA website (it's fine to have multiple toolkit versions on your machine).

Best Answer

Related Solutions

MATLAB: HDF5 V1.10

MATLAB: CUDA 10.1 not recognized (searching for CUDA 10.0 instead)

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