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.

See also

numpy-reference.routines.io (in Numpy)

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.

IDL® files

readsav(file_name[, idict, python_dict, …])

Read an IDL .sav file.

Matrix Market files

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.

Unformatted Fortran files

FortranFile(filename[, mode, header_dtype])

A file object for unformatted sequential files from Fortran code.

Netcdf

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.

Harwell-Boeing files

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

Wav sound files (scipy.io.wavfile)

read(filename[, mmap])	Open a WAV file
write(filename, rate, data)	Write a numpy array as a WAV file.
WavFileWarning

Arff files (scipy.io.arff)

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