numpy.obj2sctype() function – Python Last Updated : 18 Jun, 2020 Comments Improve Suggest changes Like Article Like Report numpy.obj2sctype() function return the scalar dtype or NumPy equivalent of Python type of an object. Syntax : numpy.obj2sctype(rep, default = None) Parameters : rep : [any] The object of which the type is returned. default : [any, optional] If given, this is returned for objects whose types can not be determined. If not given, None is returned for those objects. Return : [dtype or Python type] Return the data type of rep. Code #1 : Python3 # Python program explaining # numpy.obj2sctype() function # importing numpy as geek import numpy as geek gfg = geek.obj2sctype(geek.float64) print (gfg) Output : class 'numpy.float64' Code #2 : Python3 # Python program explaining # numpy.obj2sctype() function # importing numpy as geek import numpy as geek gfg = geek.obj2sctype(geek.array([1.j])) print (gfg) Output : class 'numpy.complex128' Comment More infoAdvertise with us Next Article numpy.obj2sctype() function – Python sanjoy_62 Follow Improve Article Tags : Python Python-numpy Practice Tags : python Similar Reads numpy.promote_types() function â Python numpy.promote_types() function is a symmetric function which returns the data type with the smallest size and smallest scalar kind to which both type1 and type2 may be safely cast. The returned data type is always in native byte order. Syntax : numpy.promote_types(type1, type2) Parameters : type1 : 1 min read Python oct() Function Python oct() function takes an integer and returns the octal representation in a string format. In this article, we will see how we can convert an integer to an octal in Python. Python oct() Function SyntaxSyntax : oct(x) Parameters: x - Must be an integer number and can be in either binary, decimal 2 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 Python | numpy.issubsctype() function numpy.issubsctype() function is used to determine whether the first argumentis a subclass of the second argument.If the first argument is a subclass of the second argument it returns true, otherwise it returns false. Syntax : numpy.issubsctype(arg1, arg2) Parameters : arg1, arg2 : dtype or dtype spe 1 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 numpy.sctype2char() function â Python numpy.sctype2char() function return the string representation of a scalar dtype. Syntax : numpy.sctype2char(sctype) Parameters : sctype : [scalar dtype or object] If a sctype is a scalar dtype, the corresponding string character is returned. If an object, sctype2char tries to infer its scalar type a 1 min read Python | numpy.issctype() function numpy.issctype() function is used to determine whether the given object represents a scalar data-type.If the given object represents a scalar data-type it returns true, otherwise it returns false. Syntax : numpy.issctype(rep) Parameters : rep : any input. Return : [bool] Boolean result of check whet 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 Python int() Function The Python int() function converts a given object to an integer or converts a decimal (floating-point) number to its integer part by truncating the fractional part.Example:In this example, we passed a string as an argument to the int() function and printed it.Pythonage = "21" print("age =", int(age) 3 min read Python | numpy.issubdtype() function numpy.issubdtype() function is used to determine whether the first argument is a typecode lower/equal in type hierarchy from second argument.If the first argument is lower or equal it returns true, otherwise it returns false. Syntax : numpy.issubdtype(arg1, arg2) Parameters : arg1, arg2 : [dtype_lik 1 min read Like