numpy.asfarray() in Python Last Updated : 16 Nov, 2021 Comments Improve Suggest changes 1 Likes Like Report numpy.asfarray()function is used when we want to convert input to a float type array. Input includes scalar, lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays. Syntax : numpy.asfarray(arr, dtype=type 'numpy.float64') Parameters : arr : [array_like] Input data, in any form that can be converted to an float type array. This includes scalar, lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays. dtype : Float type code to coerce input array arr. If dtype is one of the ‘int’ dtypes, it is replaced with float64. Return : [ndarray] The input arr as a float ndarray. Code #1 : List to float type array Python # Python program explaining # numpy.asfarray() function import numpy as geek my_list = [1, 3, 5, 7, 9] print ("Input list : ", my_list) out_arr = geek.asfarray(my_list) print ("output float type array from input list : ", out_arr) Output : Input list : [1, 3, 5, 7, 9] output float type array from input list : [ 1. 3. 5. 7. 9.] Code #2 : Tuple to float type array Python # Python program explaining # numpy.asfarray() function import numpy as geek my_tuple = ([1, 3, 9], [8, 2, 6]) print ("Input tuple : ", my_tuple) out_arr = geek.asfarray(my_tuple, dtype ='int8') print ("output float type array from input tuple : ", out_arr) Output : Input tuple : ([1, 3, 9], [8, 2, 6]) output float type array from input tuple : [[ 1. 3. 9.] [ 8. 2. 6.]] Code #3 : Scalar to float type array Python # Python program explaining # numpy.asfarray() function import numpy as geek my_scalar = 15 print ("Input scalar : ", my_scalar) out_arr = geek.asfarray(my_scalar, dtype ='float') print ("output float type array from input scalar : ", out_arr) Output : InInput scalar : 15 output float type array from input scalar : 15.0 Create Quiz Comment J jana_sayantan Follow 1 Improve J jana_sayantan Follow 1 Improve Article Tags : Python Python-numpy Python numpy-arrayManipulation Explore Python FundamentalsPython Introduction 2 min read Input and Output in Python 4 min read Python Variables 4 min read Python Operators 4 min read Python Keywords 2 min read Python Data Types 8 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 5 min read Python Functions 5 min read Recursion in Python 4 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 4 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 3 min read Python MySQL 9 min read Python Packages 10 min read Python Modules 3 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 4 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 3 min read StatsModel Library - Tutorial 3 min read Learning Model Building in Scikit-learn 6 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 6 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 5 min read Build a REST API using Flask - Python 3 min read Building a Simple API with Django REST Framework 3 min read Python PracticePython Quiz 1 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like