Scilab import txt

Active Oldest Votes. Column separator are assumed to be either white spaces or tab characters, if there are the both, white spaces are chosen by default. The number of columns of the matrix will follow the number of columns found in the file. The number of lines is fetched by detecting eof in the input file.

Improve this answer. I had a parallel post on Computational Science, where I posted the solution I found yesterday. It got migrated 3 hrs ago. If that answer was better please post it here and accept that. Always interrested in better solutions :. I hit enter again.. Here is the link: stackoverflow.

But 'fscanfmat' works simpler and better, and I don't get a NAN column. Thank you! I tried this command before, but I couldn't get the syntax right.

Also I was confused, because in one tutorial I read, that the file has to be 'opened' first. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog. Podcast Making Agile work for data science. Stack Gives Back Featured on Meta. New post summary designs on greatest hits now, everywhere else eventually. Linked 0. Related 1. Hot Network Questions.

Final step is about converting the string representing numbers into doubles for further processing. This can easily be done using the evstr function. Now that you have imported and processed your data in SCILAB, you would fine handy to save those instead of doing this tedious process any time you want to access your data. Once this is done, you can access your data anaytime using the load function and specifying the name of the file you want to import.

Note that the variable name might be different from the file name. In case you want to write a text file this time, best is to use the csvWrite function. You first will have to concatenate your data as an array of strings. A zip file gathering all the tutorial files is provided above for download. Data Import The most basic function: fscanfMat In the ideal case of your data file is well formated no unnecessary blank space and gathering only data stored as matrix could have a header , what you can do is leverage the fscanfMat function to import your text file in a SCILAB matrix.

But as you will experience it, this function is not suitable for every text file. In this case, we are reading the three text files provided in the zip archive.

For the first one which mainly about characters, we impose a conversion to string waiting for the full file to be further processed within SCILAB.

For the second one we already saw, we specify tghe number of lines at the beginning of the file to be ignored: 1 corresponding to the header. This allows us to make direct conversion of data into double default.

For the third one which is a CSV file, we specify separator ";" and decimal "," as well as range of data to be imported: from line 2 to 5, from column 2 to 4. Text data processing Now let's say we are in the worst case scenario. And finally get index of interesting lines non empty one using the find function.