scipy.io.readsav#
- scipy.io.readsav(file_name, idict=None, python_dict=False, uncompressed_file_name=None, verbose=False)[source]#
Read an IDL .sav file.
- Parameters:
- file_namestr
Name of the IDL save file.
- idictdict, optional
Dictionary in which to insert .sav file variables.
- python_dictbool, 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_namestr, 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
tempfilemodule to determine a temporary filename automatically, and will remove the temporary file upon successfully reading it in.- verbosebool, optional
Whether to print out information about the save file, including the records read, and available variables.
- Returns:
- idl_dictAttrDict 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.]