SciPy

This is documentation for an old release of SciPy (version 0.13.0). Read this page in the documentation of the latest stable release (version 1.15.1).

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) Queries the contents of the Matrix Market file ‘filename’ to
mmread(source) Reads the contents of a Matrix Market file ‘filename’ into a matrix.
mmwrite(target, a[, comment, field, precision]) Writes the sparse or dense matrix A to a Matrix Market formatted file.

Unformatted Fortran files

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

Wav sound files (scipy.io.wavfile)

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

Arff files (scipy.io.arff)

loadarff(f) Read an arff file.

Netcdf (scipy.io.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.