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3.6.5 Arff files (scipy.io.arff)
Module to read arff files (weka format).
SciPy Reference Guide, Release 0.8.dev
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.
loadarff(filename)
Read an arff file.
Notes
Parameters
filename : str
the name of the file
Returns
data : record array
the data of the arff file. Each record corresponds to one attribute.
meta : MetaData
this contains information about the arff file, like type and names of attributes, the
relation (name of the dataset), etc...
This function should be able to read most arff files. Not implemented functionalities include:
•date type attributes
•string type attributes
It can read files with numeric and nominal attributes. It can read files with sparse data (? in the file).
3.6.6 Netcdf (scipy.io.netcdf)
netcdf_file(filename[, mode,
mmap, version])
netcdf_variable(data, typecode,
shape, ...)
A netcdf_file object has two standard attributes: dimensions
and variables.
netcdf_variable objects are constructed by calling the method
class netcdf_file(filename, mode=’r’, mmap=None, version=1)
A netcdf_file object has two standard attributes: dimensions and variables. The values of both are
dictionaries, mapping dimension names to their associated lengths and variable names to variables, respectively.
Application programs should never modify these dictionaries.
All other attributes correspond to global attributes defined in the NetCDF file. Global file attributes are created
by assigning to an attribute of the netcdf_file object.
Methods
close()
createDimension(name, length)
createVariable(name, type, dimensions)
flush()
sync()
3.6. Input and output (scipy.io) 215