numpy.full() in Python Last Updated : 09 Mar, 2022 Comments Improve Suggest changes Like Article Like Report numpy.full(shape, fill_value, dtype = None, order = 'C') : Return a new array with the same shape and type as a given array filled with a fill_value. Parameters : shape : Number of rows order : C_contiguous or F_contiguous dtype : [optional, float(by Default)] Data type of returned array. fill_value : [bool, optional] Value to fill in the array. Returns : ndarray Python # Python Programming illustrating # numpy.full method import numpy as geek a = geek.full([2, 2], 67, dtype = int) print("\nMatrix a : \n", a) c = geek.full([3, 3], 10.1) print("\nMatrix c : \n", c) Output : Matrix a : [[67 67] [67 67]] Matrix c : [[ 10.1 10.1 10.1] [ 10.1 10.1 10.1] [ 10.1 10.1 10.1]] References : https://docs.scipy.org/doc/numpy/reference/generated/numpy.full.html#numpy.full Note : These NumPy-Python programs won't run on online IDE's, so run them on your systems to explore them . Comment More infoAdvertise with us Next Article numpy.full() in Python M Mohit Gupta_OMG Improve Article Tags : Python Python-numpy Python numpy-arrayCreation Practice Tags : python Similar Reads numpy.all() in Python The numpy.all() function tests whether all array elements along the mentioned axis evaluate to True. Syntax: numpy.all(array, axis = None, out = None, keepdims = class numpy._globals._NoValue at 0x40ba726c) Parameters : array :[array_like]Input array or object whose elements, we need to test. axis 3 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.isfinite() in Python The numpy.isfinite() function tests element-wise whether it is finite or not(not infinity or not Not a Number) and return the result as a boolean array. Syntax : numpy.isfinite(array [, out]) Parameters : array : [array_like]Input array or object whose elements, we need to test for infinity out : 2 min read float() in Python Python float() function is used to return a floating-point number from a number or a string representation of a numeric value. Example: Here is a simple example of the Python float() function which takes an integer as the parameter and returns its float value. Python3 # convert integer value to floa 3 min read Python len() Function The len() function in Python is used to get the number of items in an object. It is most commonly used with strings, lists, tuples, dictionaries and other iterable or container types. It returns an integer value representing the length or the number of elements. Example:Pythons = "GeeksforGeeks" # G 2 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 numpy.fromstring() function – Python numpy.fromstring() function create a new one-dimensional array initialized from text data in a string. Syntax : numpy.fromstring(string, dtype = float, count = -1, sep = ' ') Parameters : string : [str] A string that contained the data. dtype : [data-type, optional] Data-type of the array. Default d 1 min read numpy.trim_zeros() in Python numpy.trim_zeros function is used to trim the leading and/or trailing zeros from a 1-D array or sequence. Syntax: numpy.trim_zeros(arr, trim) Parameters: arr : 1-D array or sequence trim : trim is an optional parameter with default value to be 'fb'(front and back) we can either select 'f'(front) and 2 min read Python - all() function The Python all() function returns true if all the elements of a given iterable (List, Dictionary, Tuple, set, etc.) are True otherwise it returns False. It also returns True if the iterable object is empty. Sometimes while working on some code if we want to ensure that user has not entered a False v 3 min read max() and min() in Python This article brings you a very interesting and lesser-known function of Python, namely max() and min(). Now when compared to their C++ counterpart, which only allows two arguments, that too strictly being float, int or char, these functions are not only limited to 2 elements, but can hold many eleme 3 min read Like