# Numpy recarray.put() function | Python

• Last Updated : 27 Sep, 2019

In numpy, arrays may have a data-types containing fields, analogous to columns in a spreadsheet. An example is `[(a, int), (b, float)]`, where each entry in the array is a pair of (int, float). Normally, these attributes are accessed using dictionary lookups such as `arr['a'] and arr['b']`. Record arrays allow the fields to be accessed as members of the array, using `arr.a and arr.b`.

`numpy.recarray.put()` function Replaces specific elements of an record array with given values . The indexing works on the flattened target array.

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Syntax : `numpy.recarray.put(indices, values, mode='raise')`

Parameters:
indices : [array_like] Target indices, interpreted as integers.
values : [array_like] Values to place in a at target indices. If values is shorter than ind it will be repeated as necessary.
mode : [‘raise’, ‘wrap’, ‘clip’, optional] Specifies how out-of-bounds indices will behave.

Return : [ndarray] Resultant array.

Code #1 :

 `# Python program explaining``# numpy.recarray.put() method `` ` `# importing numpy as geek``import` `numpy as geek`` ` `# creating input array with 2 different field ``in_arr ``=` `geek.array([(``1.0``, ``2``), (``3.0``, ``-``4``), (``5.0``, ``6``),``                     ``(``7.0``, ``8``), (``9.0``, ``-``4``), (``11.0``, ``-``2``)],``                     ``dtype ``=``[(``'a'``, ``float``), (``'b'``, ``int``)])`` ` `print` `(``"Input array : "``, in_arr)`` ` `# convert it to a record array,``# using arr.view(np.recarray)``rec_arr ``=` `in_arr.view(geek.recarray)``print``(``"Record array of float: "``, rec_arr.a)``print``(``"Record array of int: "``, rec_arr.b)`` ` `# applying recarray.put methods``# to float record array in default mode``rec_arr.a.put( [``0``, ``2``], [``-``14``, ``15``])``print` `(``"Output float array in default mode : "``, rec_arr.a) `` ` `# applying recarray.put methods``# to float record array in clip mode``rec_arr.a.put( ``13``, ``-``4``, mode ``=``'clip'``)``print` `(``"Output  float array in clip mode : "``, rec_arr.a) `` ` `# applying recarray.put methods ``# to int record array ``rec_arr.b.put([``1``, ``2``, ``4``], [``10``, ``15``, ``20``])``print` `(``"Output int array in default mode : "``, rec_arr.b) `` ` `# applying recarray.put methods``# to int record array in clip mode``rec_arr.b.put(``8``, ``100``, mode ``=``'clip'``)``print` `(``"Output  int array in clip mode : "``, rec_arr.b) `
Output:
```Input array :  [( 1.,  2) ( 3., -4) ( 5.,  6) ( 7.,  8) ( 9., -4) (11., -2)]
Record array of float:  [ 1.  3.  5.  7.  9. 11.]
Record array of int:  [ 2 -4  6  8 -4 -2]
Output float array in default mode :  [-14.   3.  15.   7.   9.  11.]
Output  float array in clip mode :  [-14.   3.  15.   7.   9.  -4.]
Output int array in default mode :  [ 2 10 15  8 20 -2]
Output  int array in clip mode :  [  2  10  15   8  20 100]
```

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