Python | Numpy fromarrays() method Last Updated : 19 Sep, 2019 Comments Improve Suggest changes Like Article Like Report With the help of numpy.core.fromarrays() method, we can create the record array by using the list of different arrays by using numpy.core.fromarrays() method. Syntax : numpy.core.fromarrays([li1, li2....], metadata) Return : Return the record of an array. Example #1 : In this example we can see that using numpy.core.fromarrays() method, we are able to get the record array by using list of different arrays. Python3 1=1 # import numpy import numpy as np # using numpy.core.fromarrays() method li1 = np.array([101, 102, 103, 104]) li2 = np.array(['Jitender', 'Purnima', 'Ruhi', 'Varun']) li3 = np.array([21, 22, 12, 35]) gfg = np.core.records.fromarrays([li1, li2, li3], names ='Rollno, Name, Age') print(gfg[1]) Output : (102, 'Purnima', 22) Example #2 : Python3 1=1 # import numpy import numpy as np # using numpy.core.fromarrays() method li1 = np.array([101, 102, 103, 104]) li2 = np.array(['Jitender', 'Purnima', 'Ruhi', 'Varun']) li3 = np.array([21, 22, 12, 35]) gfg = np.core.records.fromarrays([li1, li2, li3], names ='Rollno, Name, Age') print(gfg.Rollno) print(gfg.Name) print(gfg.Age) Output : [101 102 103 104] ['Jitender' 'Purnima' 'Ruhi' 'Varun'] [21 22 12 35] Comment More infoAdvertise with us Next Article Python | Numpy fromarrays() method J Jitender_1998 Follow Improve Article Tags : Python Python-numpy Practice Tags : python Similar Reads Python - Numpy fromrecords() method numpy.fromrecords() method is a powerful tool in the NumPy library that allows you to create structured arrays from a sequence of tuples or other array-like objects. Let's understand the help of an example:Pythonimport numpy as np # Define a list of records records = [(1, 'Alice', 25.5), (2, 'Bob', 2 min read Numpy MaskedArray asarray() method | Python numpy.ma.asarray() function is used when we want to convert input to a masked array of the given data-type. No copy is performed if the input is already a ndarray. If arr is a subclass of MaskedArray, a base class MaskedArray is returned. Syntax : numpy.ma.asarray(arr, dtype=None, order=None) Parame 2 min read NumPy Array in Python NumPy (Numerical Python) is a powerful library for numerical computations in Python. It is commonly referred to multidimensional container that holds the same data type. It is the core data structure of the NumPy library and is optimized for numerical and scientific computation in Python. Table of C 2 min read Numpy MaskedArray asanyarray() method | Python numpy.ma.asanyarray() function is used when we want to convert input to a masked array, conserving subclasses. If arr is a subclass of MaskedArray, its class is conserved. No copy is performed if the input is already an ndarray. Syntax : numpy.ma.asanyarray(arr, dtype=None) Parameters : arr : [array 2 min read numpy.asfarray() in Python 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 for 2 min read numpy.asarray() in Python numpy.asarray()function is used when we want to convert input to an array. Input can be lists, lists of tuples, tuples, tuples of tuples, tuples of lists and arrays. Syntax : numpy.asarray(arr, dtype=None, order=None) Parameters : arr : [array_like] Input data, in any form that can be converted to a 2 min read Python Lists VS Numpy Arrays Here, we will understand the difference between Python List and Python Numpy array. What is a Numpy array?NumPy is the fundamental package for scientific computing in Python. Numpy arrays facilitate advanced mathematical and other types of operations on large numbers of data. Typically, such operati 7 min read Python | Numpy MaskedArray.__mul__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__mul__ we can multiply a particular value that is provided as a parameter in the MaskedArray.__mul__() method. Syntax: numpy.MaskedArray.__mul__ Return: 1 min read numpy.fromiter() function – Python NumPy's fromiter() function is a handy tool for creating a NumPy array from an iterable object. This iterable can be any Python object that provides elements one at a time. The function is especially useful when you need to convert data from a custom data source, like a file or generator, into a Num 2 min read numpy.asfortranarray() in Python numpy.asfortranarray() function is used when we want to convert input to a array which is laid out in Fortran order in memory. Input includes scalar, lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays. Syntax : numpy.asfortranarray(arr, dtype=None) Parameters : arr : [ar 2 min read Like