How to read large data file in Matlab?
27 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Umair Nadeem
am 14 Nov. 2013
Kommentiert: Walter Roberson
am 6 Feb. 2022
I have a GPS signal data values stored in a .dat file of 200 GB. The data is in the form of uint8. I want to read 16 GB of data from the start and downsample it by a factor of 10 before storing the new signal in a separate file. I have used fread but I cam unable to read large data file. Is there any other way which I can use to read data in chunks and put them together afterwards? Anyone please help me out. Its very important that I read this data.
The specifications of software, platform & PC are:
Matlab R2012a. Windows 8 64-bit, Core i5 3rd Gen., 4 GB RAM, 500 GB of hard Disk Space
0 Kommentare
Akzeptierte Antwort
Simon
am 14 Nov. 2013
Hi!
Is it a binary file or a normal text file? For text files you may use "fopen" and "fgetl" to read line by line. If you know your row format you may use "fscanf" to read a given number of values. Repeated calls to "fscanf" will read your whole file.
Can you give some (!) example lines? It is easier to help.
4 Kommentare
Sania Zahan
am 6 Feb. 2022
Hi My data shape is (39412, 3, 300, 25, 2), its numpy file with just numbers. Therefore above method changes the shape. I need to maintain the last 4 indexes. could you please suggest how may I do that. Thanks
Walter Roberson
am 6 Feb. 2022
A = fread(fid, [39412, 3, 300, 25, 2]);
However, you really need to test first, as it would be common to find the first two dimensions transposed between different programming languages. You might need to use
A = permute(fread(fid, [3, 39412, 300, 25, 2]), [2 1 3 4 5]);
Weitere Antworten (1)
Sheikh Alsheikh
am 26 Jul. 2018
Same problem I had o face! I first break the data into chunks
1 Kommentar
Hammad Intersoft
am 26 Mai 2021
how to open a large file by breaking it into chunks. i am facing a problem while opening a large file that has a size of 48*42*2414 and bytes 4866624. when i load this file in matla it says "cannot display summaries of variables with more than 524288 elements."
Siehe auch
Kategorien
Mehr zu Data Import and Analysis finden Sie in Help Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!