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://numpy.org/doc/stable/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 Python len() Function M Mohit Gupta Improve Article Tags : Python Python-numpy Python numpy-arrayCreation Practice Tags : python Similar Reads 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 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 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 Numpy str_len() function numpy.char.str_len(arr) function is used for doing string operations in numpy. It returns the length of every string element wise. Parameters: arr : array_like of str or unicode.Input array. Returns : [ndarray] Output Array of integer. Code #1 : Python3 # Python program explaining # numpy.char.str_l 1 min read Numpy - String Functions & Operations NumPy String functions belong to the numpy.char module and are designed to perform element-wise operations on arrays. These functions can help to handle and manipulate string data efficiently.Table of ContentString OperationsString Information String Comparison In this article, we’ll explore the var 5 min read Like