numpy.i0() function | Python Last Updated : 22 Apr, 2020 Comments Improve Suggest changes Like Article Like Report 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 evaluated at each of the elements of x. Code #1 : Python3 # Python program explaining # numpy.i0() function # importing numpy as geek import numpy as geek gfg = geek.i0(0.) print (gfg) Output : 1.0 Code #2 : Python3 # Python program explaining # numpy.i0() function # importing numpy as geek import numpy as geek gfg = geek.i0([1., 2. + 3j]) print (gfg) Output : [ 1.26606588+0.j, -1.24923489+0.9479838j] Comment More infoAdvertise with us Next Article numpy.i0() function | Python sanjoy_62 Follow Improve Article Tags : Machine Learning Python-numpy Python numpy-arrayManipulation python Practice Tags : Machine Learningpython Similar Reads numpy.imag() function - Python numpy.imag() function return the imaginary part of the complex argument. Syntax : numpy.imag(arr) Parameters : arr : [array_like] Input array. Return : [ndarray or scalar] The imaginary component of the complex argument. If val is real, the type of val is used for the output. If val has complex elem 1 min read numpy.iinfo() function â Python numpy.iinfo() function shows machine limits for integer types. Syntax : numpy.iinfo(dtype) Parameters : dtype : [integer type, dtype, or instance] The kind of integer data type to get information about. Return : Machine limits for integer types. Code #1 : Python3 # Python program explaining # numpy. 1 min read numpy.interp() function - Python numpy.interp() function returns the one-dimensional piecewise linear interpolant to a function with given discrete data points (xp, fp), evaluated at x. Syntax : numpy.interp(x, xp, fp, left = None, right = None, period = None) Parameters : x : [array_like] The x-coordinates at which to evaluate the 2 min read numpy.who function - Python 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 âNoneâ. If there is no dictionary passed in or vardict is None then returns NumPy arrays in the 1 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.issubclass_() function â 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 numpy.matlib.zeros() function | Python numpy.matlib.zeros() function return matrix of given shape and type, filled with zeros. Syntax : numpy.matlib.zeros(shape, dtype = None, order = 'C') Parameters : shape : [sequence of ints] Shape of the empty matrix. dtype : [data-type, optional] The desired data-type for the matrix, default is floa 1 min read numpy.mask_indices() function | Python numpy.mask_indices() function return the indices to access (n, n) arrays, given a masking function. Syntax : numpy.mask_indices(n, mask_func, k = 0) Parameters : n : [int] The returned indices will be valid to access arrays of shape (n, n). mask_func : [callable] A function whose call signature is s 1 min read numpy.irr() in Python numpy.irr(values) : This financial function helps user to compute IRR Value i.e. Internal Rate of Return ie. âaverageâ periodically compounded rate of return.  Parameters : values : [array-like] Input cash flows per time period. net âdepositsâ are negative and net âwithdrawalsâ are positiveReturn 1 min read numpy.typename() function â 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 Like