larray.Session

class larray.Session(*args, **kwargs)

Groups several array objects together.

Parameters:

args : str or dict of str, array or iterable of tuples (str, array)

Name of file to load or dictionary containing couples (name, array).

kwargs : dict of str, array

List of arrays to add written as ‘name’=array, …

Examples

>>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))

create a Session by passing a list of pairs (name, array)

>>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])

create a Session using keyword arguments (but you lose order on Python < 3.6)

>>> s = Session(arr1=arr1, arr2=arr2, arr3=arr3)

create a Session by passing a dictionary (but you lose order on Python < 3.6)

>>> s = Session({'arr1': arr1, 'arr2': arr2, 'arr3': arr3})

load Session from file

>>> s = Session('my_session.h5')  

__init__(*args, **kwargs)

Methods

__init__(*args, **kwargs)
add(*args, **kwargs)	Adds objects to the current session.
apply(func, *args, **kwargs)	Apply function func on elements of the session and return a new session.
compact([display])	Detects and removes “useless” axes (ie axes for which values are constant over the whole axis) for all array
copy()	Returns a copy of the session.
dump(*args, **kwargs)
dump_csv(*args, **kwargs)
dump_excel(*args, **kwargs)
dump_hdf(*args, **kwargs)
filter([pattern, kind])	Returns a new session with array objects which match some criteria.
get(key[, default])	Returns the array object corresponding to the key.
items()	Returns a view of the session’s items ((key, value) pairs).
keys()	Returns a view on the session’s keys.
load(fname[, names, engine, display])	Loads array objects from a file, or several .csv files.
save(fname[, names, engine, overwrite, display])	Dumps all array objects from the current session to a file.
summary([template])	Returns a summary of the content of the session.
to_csv(fname[, names, display])	Dumps all array objects from the current session to CSV files.
to_excel(fname[, names, overwrite, display])	Dumps all array objects from the current session to an Excel file.
to_globals([names, depth, warn, inplace])	Create global variables out of objects in the session.
to_hdf(fname[, names, overwrite, display])	Dumps all array objects from the current session to an HDF file.
to_pickle(fname[, names, overwrite, display])	Dumps all array objects from the current session to a file using pickle.
transpose(*args)	Reorder axes of arrays in session, ignoring missing axes for each array.
values()	Returns a view on the session’s values.