numpy.isinf() in Python Last Updated : 08 Mar, 2024 Comments Improve Suggest changes Like Article Like Report The numpy.isinf() function tests element-wise whether it is +ve or -ve infinity or not return the result as a boolean array. Syntax: numpy.isinf(array [, out]) Parameters : array : [array_like]Input array or object whose elements, we need to test for infinity out : [ndarray, optional]Output array placed with result. Its type is preserved and it must be of the right shape to hold the output. Return : boolean array containing the result. For scalar input, the result is a new boolean with value True if the input is positive or negative infinity; otherwise the value is False. For array input, the result is a boolean array with the same shape as the input and the values are True where the corresponding element of the input is positive or negative infinity; elsewhere the values are False. Code 1 : Python # Python Program illustrating # numpy.isinf() method import numpy as geek print("Finite : ", geek.isinf(1), "\n") print("Finite : ", geek.isinf(0), "\n") # not a number print("Finite : ", geek.isinf(geek.nan), "\n") # infinity print("Finite : ", geek.isinf(geek.inf), "\n") print("Finite : ", geek.isinf(geek.NINF), "\n") x = geek.array([-geek.inf, 0., geek.inf]) y = geek.array([2, 2, 2]) print("Checking for infinity : ", geek.isinf(x, y)) Output : Finite : False Finite : False Finite : False Finite : True Finite : True Checking for infinity : [1 0 1] Code 2 : Python # Python Program illustrating # numpy.isinf() method import numpy as geek # Returns True/False value for each element b = geek.arange(8).reshape(2, 4) print("\n",b) print("\nIs Infinity : \n", geek.isinf(b)) # geek.inf : Positive Infinity # geek.NINF : negative Infinity b = [[geek.inf], [geek.NINF]] print("\nIs Infinity : \n", geek.isinf(b)) Output : [[0 1 2 3] [4 5 6 7]] Is Infinity : [[False False False False] [False False False False]] Is Infinity : [[ True] [ True]] Note : These codes won't run on online IDE's. So please, run them on your systems to explore the working. Comment More infoAdvertise with us Next Article numpy.isinf() in Python M Mohit Gupta_OMG Improve Article Tags : Misc Python Python-numpy Python numpy-Logic Functions Practice Tags : Miscpython Similar Reads numpy.isneginf() in Python The numpy.isneginf() function tests element-wise whether it is negative infinity or not, and returns the result as a boolean array. Syntax :  numpy.isneginf(array, y = None) Parameters : array : [array_like]Input array or object whose elements, we need to test for infinity. y : [array_like]A boole 2 min read numpy.isposinf() in Python The numpy.isposinf() function tests element-wise whether it is positive infinity or not and returns the result as a boolean array. Syntax : numpy.isposinf(array, y = None) Parameters:  array : [array_like]Input array or object whose elements, we need to test for infinity. y : [array_like]A boolea 2 min read numpy.isnan() in Python The numpy.isnan() function tests element-wise whether it is NaN or not and returns the result as a boolean array. 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Parameters : array : [array_like] Input array whose element we want to test Return : boolean array containing the result Code 1 : Python # Python Pro 1 min read numpy.isscalar() in Python In this article, we will elucidate the `numpy.isscalar()` function through a well-documented code example and comprehensive explanation. Python numpy.isscalar() Syntax Syntax : numpy.isscalar(element) Parameters: element: The input element to be checked for scalar properties.Return Type: bool: Retur 3 min read numpy.isrealobj() in Python numpy.isrealobj(array) : This logical function helps to checks if the array has no complex type or array has a complex number. Even if imaginary part is equal to zero, it is not considered to be a Real Object. Parameters : array : [array_like]Input array or object whose elements, we need to test. 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