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 |
