Tools

BayesicFitting.source.Tools (version 3.1.0)

Modules

inspect
math

Functions

average(xx, weights=None, circular=None): Return (weighted) average and standard deviation of input array. Parameters ---------- xx : array_like input to be averaged weights : array_like if present these are the weights circular : list of 2 floats the input is a circular item between [low,high]

decorate(src, des, copy=True): Transfer attributes from src to des. If copy is True try to copy the attributes, otherwise link it. Parameters ---------- src : object source of the attributes des : object destiny for the attributes copy : bool if True: copy

fix2int(x): Return integer array with values as in x Parameters ---------- x : array_like array of integer floats

getColumnData(xdata, kcol): Return the kcol-th column from xdata Parameters ---------- xdata 2D array_like or Table the data array kcol int column index

getItem(ilist, k): Return the k-th item of the ilist or the last when not enough or the ilist itself when it is not a list Parameters ---------- ilist : an item or a list of items List to obtain an item from k : int item to be returned

isBetween(xs, x, xe): Return True when x falls between xs and xe or on xs or xe. where the order of xs, xe is unknown.

isInstance(item, cls): Returns true when one of the following is true 1. when cls is int : item is an int or item is a numpy.integer. 2. when cls is float : item is an float or item is an int. 3. when cls is cls : item is a cls.

isList(item, cls): Return (True,False) if item is a instance of cls (True,True) if item is a (list|ndarray) of instances of cls (False,False) if not

length(x): Return the length of any item. Singletons have length 1; None has length 0..

makeNext(x, k): Return next item of x, and last item if x is exhausted. Or x itself if x is singular.

setListOfAttributes(obj, name, value, dictList): Set attribute contained in dictionary dictList into the attr-list. A list is a native list or a numpy.ndarray. It also checks the type. if values is a singular item of the proper type it will be inserted as [value]. Parameters ---------- obj : object to place the attribute in name : str of the attribute value : any of the attribute dictList : dictionary of possible attributes {"name": type} Returns ------- True on succesful insertion. False otherwise. Raises ------ TypeError if the type is not as in the dictionary

setNoneAttributes(obj, name, value, listNone): Set attribute contained in dictionary dictList into the attr-list. A list is a native list or a numpy.ndarray. It also checks the type. if values is a singular item of the proper type it will be inserted as [value]. Parameters ---------- obj : object to place the attribute in name : str of the attribute value : any of the attribute listNone : list of names that could have a None value Returns ------- True on succesful insertion. False otherwise. Raises ------ TypeError if the type is not as in the dictionary

setSingleAttributes(obj, name, value, dictSingle): Set a singular attribute contained in dictionary dictSingle into the attr-list. It also checks the type. Parameters ---------- obj : object to place the attribute in name : str of the attribute value : any of the attribute dictSingle : dictionary of possible attributes {"name": type} Returns ------- True on succesful insertion. False otherwise. Raises ------ TypeError if the type is not as in the dictionary

shortName(val): Return a short version the string representation: upto first non-letter.

toArray(x, ndim=1, dtype=None): Return a array of x when x is a number Parameters ---------- x : any number, list/array of numbers or [] to be converted to numpy.ndarray ndim : int minimum number of dimensions present dtype : type conversion to type (None : as is)

track(statement): Parameters ---------- statement : str statement to be traced

Data
		__license__ = 'GPL3' __status__ = 'Perpetual Beta' __url__ = 'https://www.bayesicfitting.nl' __year__ = 2023 print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0), 1048576)

Author
		Do Kester