numpy.who function - Python Last Updated : 10 Jul, 2020 Comments Improve Suggest changes Like Article Like Report numpy.who() function print the NumPy arrays in the given dictionary. Syntax : numpy.who(vardict = None) Parameters : vardict : [dict, optional] A dictionary possibly containing ndarrays. Return : Returns ‘None’. If there is no dictionary passed in or vardict is None then returns NumPy arrays in the globals() dictionary. Code #1 : Python3 # Python program explaining # numpy.who() function # importing numpy as geek import numpy as geek a = geek.arange(5) b = geek.ones(10) gfg = geek.who() print (gfg) Output : a 5 40 int64 b 10 80 float64 Upper bound on total bytes = 120 None Code #2 : Python3 # Python program explaining # numpy.who() function # importing numpy as geek import numpy as geek a = geek.arange(3.0) b = geek.arange(5.0) gfg = geek.who() print (gfg) Output : Name Shape Bytes Type =========================================================== a 3 24 float64 b 5 40 float64 Upper bound on total bytes = 64 None Comment More infoAdvertise with us Next Article numpy.who function - Python sanjoy_62 Follow Improve Article Tags : Python Python-numpy Practice Tags : python Similar Reads numpy.roots() function - Python numpy.roots() function return the roots of a polynomial with coefficients given in p. The values in the rank-1 array p are coefficients of a polynomial. If the length of p is n+1 then the polynomial is described by: p[0] * x**n + p[1] * x**(n-1) + ... + p[n-1]*x + p[n] Syntax : numpy.roots(p) Parame 1 min read numpy.i0() function | Python numpy.i0() function is the modified Bessel function of the first kind, order 0. it's usually denoted by I0. Syntax : numpy.i0(x) Parameters : x : [array_like, dtype float or complex] Argument of the Bessel function. Return : [ndarray, shape = x.shape, dtype = x.dtype] The modified Bessel function ev 1 min read numpy.typename() function – Python numpy.typename() function return a description for the given data type code. Syntax : numpy.typename(char) Parameters : char : [str] Data type code. Return : [str] Description of the input data type code. Code #1 : Python3 # Python program explaining # numpy.typename() function # importing numpy as 2 min read numpy.info() function in Python In Numpy we can get all the information about the function, class, or module like what will the parameter and what will be the type of the return value with the help of numpy.info() function. This function returns the help information for a function, class, or module. Syntax: numpy.info(numpy.info(o 1 min read Python len() Function The len() function in Python is used to get the number of items in an object. It is most commonly used with strings, lists, tuples, dictionaries and other iterable or container types. It returns an integer value representing the length or the number of elements. Example:Pythons = "GeeksforGeeks" # G 2 min read numpy.matrix.A() function - Python numpy.matrix.A() function return self as an ndarray object. Syntax : numpy.matrix.A() Parameters : None Return : [ndarray] Return self as an ndarray. Code #1 : Python3 # Python program explaining # numpy.matrix.A() function # importing numpy as geek import numpy as geek mat = geek.matrix(geek.arange 1 min read numpy.fromiter() function – Python NumPy's fromiter() function is a handy tool for creating a NumPy array from an iterable object. This iterable can be any Python object that provides elements one at a time. The function is especially useful when you need to convert data from a custom data source, like a file or generator, into a Num 2 min read id() function in Python In Python, id() function is a built-in function that returns the unique identifier of an object. The identifier is an integer, which represents the memory address of the object. The id() function is commonly used to check if two variables or objects refer to the same memory location. Python id() Fun 3 min read numpy.fromstring() function – Python numpy.fromstring() function create a new one-dimensional array initialized from text data in a string. Syntax : numpy.fromstring(string, dtype = float, count = -1, sep = ' ') Parameters : string : [str] A string that contained the data. dtype : [data-type, optional] Data-type of the array. Default d 1 min read numpy.issubclass_() function – Python numpy.issubclass_() function is used to determine whether a class is a subclass of a second class. Syntax : numpy.issubclass_(arg1, arg2) Parameters : arg1 : [class] Input class. True is returned if arg1 is a subclass of arg2. arg2 : [class or tuple of classes] Input class. If a tuple of classes, Tr 1 min read Like