Python | numpy.issubdtype() function Last Updated : 14 Mar, 2019 Comments Improve Suggest changes Like Article Like Report 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_like] dtype or string representing a typecode. Return : [bool] Boolean result. Code #1 : Python3 # Python program explaining # numpy.issubdtype() function # importing numpy import numpy as geek # selecting the argument arg1 = geek.int64 arg2 = geek.int32 # output boolean value out_val = geek.issubdtype(arg1, arg2) print ("Is the first argument lower: ", out_val) Output : Is the first argument lower: False Code #2 : Python3 # Python program explaining # numpy.issubdtype() function # importing numpy import numpy as geek # selecting the argument arg1 ='S2' arg2 = geek.string_ # output boolean value out_val = geek.issubdtype(arg1, arg2) print ("Is the first argument lower: ", out_val) Output : Is the first argument lower: True Comment More infoAdvertise with us Next Article Python | numpy.issubdtype() function jana_sayantan Follow Improve Article Tags : Python Python-numpy Python numpy-DataType Practice Tags : python Similar Reads 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 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.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.mintypecode() function â Python numpy.mintypecode() function return the character for the minimum-size type to which given types can be safely cast. Syntax : numpy.mintypecode(typechars, typeset = 'GDFgdf', default = 'd') Parameters : typechars : [list of str or array_like] If a list of strings, each string should represent a dtyp 1 min read numpy.ma.is_mask() function | Python numpy.ma.is_mask() function return True if parameter m is a valid, standard mask. This function does not check the contents of the input, only that the type is MaskType. In particular, this function returns False if the mask has a flexible dtype. Syntax : numpy.ma.is_mask(m) Parameter : m : [array_l 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.dtype.kind() function â Python numpy.dtype.kind() function determine the character code by identifying the general kind of data. Syntax : numpy.dtype.kind(type) Parameters : type : [dtype] The input data-type. Return : Return the character code by identifying the general kind of data. Code #1 : Python3 # Python program explaining 1 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 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.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 Like