Python | numpy.issctype() function

Python | numpy.issctype() function

Last Updated : 12 Mar, 2019

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 whether rep is a scalar dtype.

Code #1 :

# Python program explaining
# numpy.issctype() function

# importing numpy
import numpy as geek

# Checking if integers are scalar type

rep = geek.int64

# output boolean value
out_val = geek.issctype(rep)
print ("Are integers scalar: ", out_val)

 
# Python program explaining
# numpy.issctype() function​# importing numpyimport numpy as geek​# Checking if integers are scalar type​rep = geek.int64​# output boolean valueout_val = geek.issctype(rep)print ("Are integers scalar: ", out_val)

Output :

Are integers scalar:  True

Code #2 :

# Python program explaining
# numpy.issctype() function

# importing numpy
import numpy as geek

# Checking if list is scalar type

rep =[ 1, 4, 7]

# output boolean value
out_val = geek.issctype(rep)
print ("Is list scalar: ", out_val)

 
# Python program explaining
# numpy.issctype() function​# importing numpyimport numpy as geek​# Checking if list is scalar type​rep =[ 1, 4, 7]​# output boolean valueout_val = geek.issctype(rep)print ("Is list scalar: ", out_val)

Output :

Is list scalar:  False

Python | numpy.issctype() function

jana_sayantan

Improve

Article Tags :

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

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

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

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

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

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

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

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.

numpy.ma.is_masked() function | Python

numpy.ma.is_masked() function determine whether input has masked values & accepts any object as input, but always returns False unless the input is a MaskedArray containing masked values. Syntax : numpy.ma.is_masked(arr) Parameters : arr : [array_like] Array to check for masked values. Return :

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