Of particular interest might be the following attributes and methods of the Handler: entriesĪ list of dictionaries. They contain more information than the Excel or csv data files, and can even be used to (re)create those files. psydat files are ideal for batch analysis with a python script and plotting via matplotlib. The contents of the file can be explored with dir(), as any other python object. They can also be more directly used by experienced users with previous experience of python and, probably, matplotlib. psydat files can be useful for retrieving data that you forgot to explicitly tell PsychoPy to save. Refer to the documentation on the specific toolbox to see what import features are offered.This is actually a TrialHandler or StairHandler object that has been saved to disk with the python cPickle module. For example, use the Database Toolbox for importing data from relational databases. In addition to MATLAB import functions, you can perform specialized import features using toolboxes. Segarray = textscan(file_id, format, 10000) Following each read, the subfunction process_data processes the data collected in cell array segarray: The code calls textscan to read a particular pattern of data (as specified by format) 10,000 times for each segment. This example opens a large data file and reads the file a segment at a time in a for loop. Using the textscan function, you can read a specified amount of data from a file, and maintain a pointer to the location in the file where your last read operation ended and your next read is to begin. This method requires significantly less memory than if you were to try reading in the entire file at once. For more information, see Using Low-Level File I/O Functions.Īn efficient way to read files with large data sets is to read the file in segments and process the data as you go. MATLAB also supports C-style, low-level I/O functions that you can use with any data format. Connect to an FTP server to perform remote file operations.Compress (zip) and uncompress (unzip) files.Scientific data formats supported by MATLAB are You can use MATLAB to import and export data to the following types of spreadsheets: MATLAB provides functions to enable you to interact with the following types of audio and audio/video files: MATLAB imports and exports images from many standard graphics file formats, including the Tagged Image File Format (TIFF), Graphics Interchange Format (GIF), Joint Photographic Experts Group (JPEG), and Portable Network Graphics (PNG) formats. These sections also describe how to import and export to XML documents. For more information about working with text data in MATLAB, see ASCII text data can be viewed in a text editor. In text format, the data values are American Standard Code for Information Interchange (ASCII) codes that represent alphabetic and numeric characters. Text Data :: Data Import and Export (Programming) Programming

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