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Input and output (scipy.io)

See also

numpy-reference.routines.io (in Numpy)

MATLAB® files

loadmat(file_name, **kwargs[, mdict, appendmat])	Load Matlab(tm) file
savemat(file_name, mdict[, appendmat, ...])	Save a dictionary of names and arrays into the MATLAB-style .mat 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.
npfile

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)

Module to read arff files (weka format).

arff is a simple file format which support numerical, string and data values. It supports sparse data too.

See http://weka.sourceforge.net/wekadoc/index.php/en:ARFF_(3.4.6) for more details about arff format and available datasets.

loadarff(filename)

Read an arff file.

Netcdf (scipy.io.netcdf)

netcdf_file(filename[, mode, mmap, version])	A netcdf_file object has two standard attributes: dimensions and variables.
netcdf_variable(data, typecode, shape, ...)	netcdf_variable objects are constructed by calling the method