numpy.byte_bounds() function – Python Last Updated : 08 Jul, 2020 Comments Improve Suggest changes Like Article Like Report numpy.byte_bounds() function returns pointers to the end-points of an array. Syntax : numpy.byte_bounds(arr) Parameters : arr : [ndarray] Input array. Return : [tuple of 2 integers] The first integer is the first byte of the array, the second integer is just past the last byte of the array. If arr is not contiguous it will not use every byte between the (low, high) values. Code #1 : Python3 # Python program explaining # numpy.byte_bounds() function # importing numpy as geek import numpy as geek arr = geek.eye(2, dtype = 'f') gfg = geek.byte_bounds(arr) print (gfg) Output : (37062512, 37062528) Code #2 : Python3 # Python program explaining # numpy.byte_bounds() function # importing numpy as geek import numpy as geek arr = geek.eye(2) gfg = geek.byte_bounds(arr) print (gfg) Output : (30421344, 30421376) Comment More infoAdvertise with us Next Article Numpy size() function | Python S sanjoy_62 Follow Improve Article Tags : Python Python-numpy Practice Tags : python Similar Reads numpy.finfo() function – Python numpy.finfo() function shows machine limits for floating point types. Syntax : numpy.finfo(dtype) Parameters : dtype : [float, dtype, or instance] Kind of floating point data-type about which to get information. Return : Machine parameters for floating point types. Code #1 : Python3 # Python program 1 min read numpy.frombuffer() function – Python numpy.frombuffer() function interpret a buffer as a 1-dimensional array. Syntax : numpy.frombuffer(buffer, dtype = float, count = -1, offset = 0) Parameters : buffer : [buffer_like] An object that exposes the buffer interface. dtype : [data-type, optional] Data-type of the returned array, default da 1 min read Numpy size() function | Python numpy.size() function in Python is used to count the number of elements in a NumPy array. You can use it to get the total count of all elements, or to count elements along a specific axis, such as rows or columns in a multidimensional array. This makes it useful when quickly trying to understand the 2 min read Numpy size() function | Python numpy.size() function in Python is used to count the number of elements in a NumPy array. You can use it to get the total count of all elements, or to count elements along a specific axis, such as rows or columns in a multidimensional array. This makes it useful when quickly trying to understand the 2 min read Numpy size() function | Python numpy.size() function in Python is used to count the number of elements in a NumPy array. You can use it to get the total count of all elements, or to count elements along a specific axis, such as rows or columns in a multidimensional array. This makes it useful when quickly trying to understand the 2 min read numpy.iinfo() function – 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 Like