Module « scipy.io »
Signature de la fonction readsav
def readsav(file_name, idict=None, python_dict=False, uncompressed_file_name=None, verbose=False)
Description
readsav.__doc__
Read an IDL .sav file.
Parameters
----------
file_name : str
Name of the IDL save file.
idict : dict, optional
Dictionary in which to insert .sav file variables.
python_dict : bool, optional
By default, the object return is not a Python dictionary, but a
case-insensitive dictionary with item, attribute, and call access
to variables. To get a standard Python dictionary, set this option
to True.
uncompressed_file_name : str, optional
This option only has an effect for .sav files written with the
/compress option. If a file name is specified, compressed .sav
files are uncompressed to this file. Otherwise, readsav will use
the `tempfile` module to determine a temporary filename
automatically, and will remove the temporary file upon successfully
reading it in.
verbose : bool, optional
Whether to print out information about the save file, including
the records read, and available variables.
Returns
-------
idl_dict : AttrDict or dict
If `python_dict` is set to False (default), this function returns a
case-insensitive dictionary with item, attribute, and call access
to variables. If `python_dict` is set to True, this function
returns a Python dictionary with all variable names in lowercase.
If `idict` was specified, then variables are written to the
dictionary specified, and the updated dictionary is returned.
Examples
--------
>>> from os.path import dirname, join as pjoin
>>> import scipy.io as sio
>>> from scipy.io import readsav
Get the filename for an example .sav file from the tests/data directory.
>>> data_dir = pjoin(dirname(sio.__file__), 'tests', 'data')
>>> sav_fname = pjoin(data_dir, 'array_float32_1d.sav')
Load the .sav file contents.
>>> sav_data = readsav(sav_fname)
Get keys of the .sav file contents.
>>> print(sav_data.keys())
dict_keys(['array1d'])
Access a content with a key.
>>> print(sav_data['array1d'])
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0.]
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