larray.Session.save¶
-
Session.
save
(self, fname, names=None, engine='auto', overwrite=True, display=False, **kwargs)[source]¶ Dumps LArray, Axis and Group objects from the current session to a file.
- Parameters
- fnamestr
Path of the file for the dump. If objects are saved in CSV files, the path corresponds to a directory.
- nameslist of str or None, optional
List of names of LArray/Axis/Group objects to dump. If fname is None, list of paths to CSV files. Defaults to all objects present in the Session.
- engine{‘auto’, ‘pandas_csv’, ‘pandas_hdf’, ‘pandas_excel’, ‘xlwings_excel’, ‘pickle’}, optional
Dump using engine. Defaults to ‘auto’ (use default engine for the format guessed from the file extension).
- overwrite: bool, optional
Whether or not to overwrite an existing file, if any. Ignored for CSV files and ‘pandas_excel’ engine. If False, file is updated. Defaults to True.
- displaybool, optional
Whether or not to display which file is being worked on. Defaults to False.
Notes
See Notes section from
to_csv()
andto_excel()
.Examples
>>> # axes >>> a, b = Axis("a=a0..a2"), Axis("b=b0..b2") # doctest: +SKIP >>> # groups >>> a01 = a['a0,a1'] >> 'a01' # doctest: +SKIP >>> # arrays >>> arr1, arr2 = ndtest((a, b)), ndtest(a) # doctest: +SKIP >>> s = Session([('a', a), ('b', b), ('a01', a01), ('arr1', arr1), ('arr2', arr2)]) # doctest: +SKIP >>> # metadata >>> s.meta.title = 'my title' # doctest: +SKIP >>> s.meta.author = 'John Smith' # doctest: +SKIP
Save all objects
>>> s.save('output.h5') # doctest: +SKIP
Save only some objects
>>> s.save('output.h5', ['a', 'b', 'arr1']) # doctest: +SKIP
Update file
>>> arr1, arr4 = ndtest((3, 3)), ndtest((2, 3)) # doctest: +SKIP >>> s2 = Session([('arr1', arr1), ('arr4', arr4)]) # doctest: +SKIP >>> # replace arr1 and add arr4 in file output.h5 >>> s2.save('output.h5', overwrite=False) # doctest: +SKIP