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.]