What is the difference between ndarray and array in numpy

Question

What is the difference between ndarray and array in Numpy  And where can I find the implementations in the numpy source code

User · Answer

numpy array is a function that returns a numpy ndarray   There is no object type numpy array

User · Answer

numpy array is just a convenience function to create an ndarray  it is not a class itself     You can also create an array using numpy ndarray  but it is not the recommended way   From the docstring of numpy ndarray        Arrays should be constructed using array  zeros or empty      The parameters given here refer to a   low-level method  ndarray       for instantiating an array    Most of the meat of the implementation is in C code  here in multiarray  but you can start looking at the ndarray interfaces here   https   github com numpy numpy blob master numpy core numeric py

User · Answer

numpy ndarray   is a class  while numpy array   is a method   function to create ndarray    In numpy docs if you want to create an array from ndarray class you can do it with 2 ways as quoted   1- using array    zeros   or empty   methods  Arrays should be constructed using array  zeros or empty  refer to the See Also section below   The parameters given here refer to a low-level method  ndarray       for instantiating an array   2- from ndarray class directly  There are two modes of creating an array using   new        If buffer is None  then only shape  dtype  and order are used      If buffer is an object exposing the buffer interface  then all keywords are interpreted   The example below gives a random array because we didn t assign buffer value    np ndarray shape  2 2   dtype float  order  F   buffer None   array    -1 13698227e 002    4 25087011e-303             2 88528414e-306    3 27025015e-309             random    another example is to assign array object to the buffer example     gt  gt  gt  np ndarray  2    buffer np array  1 2 3                   offset np int    itemsize                 dtype int    offset   1 itemsize  i e  skip first element array  2  3      from above example we notice that we can t assign a list to  buffer  and we had to use numpy array   to return ndarray object for the buffer  Conclusion  use numpy array   if you want to make a numpy ndarray   object

User · Answer

Just a few lines of example code to show the difference between numpy array and numpy ndarray  Warm up step  Construct a list  a    1 2 3    Check the type   print type a     You will get   lt class  list  gt    Construct an array  from a list  using np array  a   np array a    Or  you can skip the warm up step  directly have   a   np array  1 2 3     Check the type   print type a     You will get   lt class  numpy ndarray  gt    which tells you the type of the numpy array is numpy ndarray  You can also check the type by   isinstance a   np ndarray     and you will get   True   Either of the following two lines will give you an error message  np ndarray a                   should be np array a  isinstance a   np array        should be isinstance a   np ndarray

User · Answer

I think with np array   you can only create C like though you mention the order  when you check using np isfortran   it says false  but with np ndarrray   when you specify the order it creates based on the order provided

[python] What is the difference between ndarray and array in numpy?

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