Scipy Load Matlab File

Get the filename for an example mat file that contains a matlab struct called teststruct and load the contents. Matlab up to 7 1 mat files created with matlab up to version 7 1 can be read using the mio module part of scipy io reading structures and arrays of structures is supported elements are accessed with the same syntax as in matlab. The default setting is true because it allows easier round trip load and save of matlab files.

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Numeric and cell arrays are converted to row ordered nested lists.

Scipy load matlab file.

Load filename loads data from filename. If filename is a mat file then load filename loads variables in the mat file into the matlab workspace. In order to do this use the struct as record false parameter setting to loadmat. If filename is an ascii file then load filename creates a double precision array containing data from the file.

Try loading the mat file in matlab or octave and saving it again with the v7 option. The documentation page for the loadmat method tells us how it loads matlab structs into numpy structured arrays you can access the members of the structs using the keys. Load data from mat file the function loadmat loads all variables stored in the mat file into a simple python data structure using only python s dict and list objects. Setting this flag to false replicates the behavior of scipy version 0 7 x returning numpy object arrays.

Matstruct fname pjoin data dir teststruct 7 4 glnx86 mat matstruct contents sio loadmat matstruct fname. After reading a structure called e g. Here are examples of how to read two variables lat and lon from a mat file called test mat. Whether to load matlab structs as numpy record arrays or as old style numpy arrays with dtype object.

Struct its lat element can. Arrays are squeezed to eliminate arrays with only one element. V4 level 1 0 v6 and v7 to 7 2 matfiles are supported. Because scipy does not supply one we do not implement the hdf5 7 3 interface here.

You will need an hdf5 python library to read matlab 7 3 format mat files. Annots annotations bbox x1 annots annotations fname array dtype uint8 array 00001 jpg dtype u9. Python should then open this without problems. Here s an example running an octave script via oct2py saving the resulting octave workspace onto a mat file and loading the mat file into python.

Sometimes it s more convenient to load the matlab structs as python objects rather than numpy structured arrays it can make the access syntax in python a bit more similar to that in matlab.