scipy tutorial - Baustatik-Info-Server

3.6.2 Matrix Market files
SciPy Reference Guide, Release 0.8.dev
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
mmwrite(target, a[, comment, field,
precision])
matrix.
Writes the sparse or dense matrix A to a Matrix Market formatted
file.
mminfo(source)
Queries the contents of the Matrix Market file ‘filename’ to extract size and storage information.
Inputs:
Outputs:
source - Matrix Market filename (extension .mtx) or open file object
rows,cols - number of matrix rows and columns entries - number of non-zero entries of a sparse
matrix
or rows*cols for a dense matrix
format - ‘coordinate’ | ‘array’ field - ‘real’ | ‘complex’ | ‘pattern’ | ‘integer’ symm - ‘general’ |
‘symmetric’ | ‘skew-symmetric’ | ‘hermitian’
mmread(source)
Reads the contents of a Matrix Market file ‘filename’ into a matrix.
Inputs:
Outputs:
source - Matrix Market filename (extensions .mtx, .mtz.gz)
or open file object.
a - sparse or full matrix
mmwrite(target, a, comment=”, field=None, precision=None)
Writes the sparse or dense matrix A to a Matrix Market formatted file.
Inputs:
3.6.3 Other
target - Matrix Market filename (extension .mtx) or open file object a - sparse or full matrix comment
- comments to be prepended to the Matrix Market file field - ‘real’ | ‘complex’ | ‘pattern’ |
‘integer’ precision - Number of digits to display for real or complex values.
save_as_module([file_name, data]) Save the dictionary “data” into
npfile(*args, **kwds) npfile is deprecated!
save_as_module(file_name=None, data=None)
Save the dictionary “data” into a module and shelf named save
npfile(*args, **kwds)
npfile is deprecated!
You can achieve the same effect as using npfile using numpy.save and numpy.load.
You can use memory-mapped arrays and data-types to map out a file format for direct manipulation in NumPy.
Class for reading and writing numpy arrays to/from files
3.6. Input and output (scipy.io) 213