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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.

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.

Other

save_as_module([file_name, data])

Save the dictionary “data” into a module and shelf named save.

Wav sound files (scipy.io.wavfile)

read(file)	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.