3.6. Input and output (`scipy.io`)¶

SciPy has many modules, classes, and functions available to read data from and write data to a variety of file formats.

3.6.1. MATLAB® files¶

`loadmat`(file_name[, mdict, appendmat])	Load MATLAB file
`savemat`(file_name, mdict[, appendmat, ...])	Save a dictionary of names and arrays into a MATLAB-style .mat file.
`whosmat`(file_name[, appendmat])	List variables inside a MATLAB file

readsav(file_name[, idict, python_dict, ...]) Read an IDL .sav file

`mminfo`(source)	Return size and storage parameters from Matrix Market file-like ‘source’.
`mmread`(source)	Reads the contents of a Matrix Market file-like ‘source’ into a matrix.
`mmwrite`(target, a[, comment, field, ...])	Writes the sparse or dense array a to Matrix Market file-like target.

FortranFile(filename[, mode, header_dtype]) A file object for unformatted sequential files from Fortran code.

`netcdf_file`(filename[, mode, mmap, version, ...])	A file object for NetCDF data.
`netcdf_variable`(data, typecode, size, shape, ...)	A data object for the netcdf module.

`hb_read`(file)	Read HB-format file.
`hb_write`(file, m[, hb_info])	Write HB-format file.

`read`(filename[, mmap])	Return the sample rate (in samples/sec) and data from a WAV file
`write`(filename, rate, data)	Write a numpy array as a WAV file
`WavFileWarning`

`loadarff`(f)	Read an arff file.
`MetaData`(rel, attr)	Small container to keep useful informations on a ARFF dataset.
`ArffError`
`ParseArffError`