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Numpy recarray.conjugate() 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.conjugate() ` function return an array by conjugating the complex number in the array.

Syntax : `numpy.recarray.conjugate(out=None)`

Parameters:

out : [ndarray, optional] A location into which the result is stored.
-> If provided, it must have a shape that the inputs broadcast to.
-> If not provided or None, a freshly-allocated array is returned.

Return : Output array with same dimensions as Input array, placed with result.

Code #1 :

 `# Python program explaining ` `# numpy.recarray.conjugate() method  ` ` `  `# importing numpy as geek ` `import` `numpy as geek ` ` `  `# creating input array  ` `in_arr ``=` `geek.array([[(``4.0` `+` `1j``, ``1` `+` `3j``), (``5.0``, ``5``-``1j``), ` `                      ``(``8.0``-``6j``, ``9``)], [(``9.0``, ``1``),  ` `                     ``(``7.0` `+` `1j``, ``3``-``1j``), (``-``2.0` `+` `6j``, ``-``7` `+` `3j``)]], ` `                     ``dtype ``=``[(``'a'``, ``complex``), (``'b'``, ``complex``)]) ` ` `  `print` `(``"Input array : "``, in_arr) ` ` `  `# convert it to a record array, using arr.view(np.recarray) ` `rec_arr ``=` `in_arr.view(geek.recarray) ` ` `  `# 1st record array ` `print``(``"1st Record array of complex : "``, rec_arr.a) ` `# applying recarray.conjugate methods to 1st record array ` `out_arr ``=` `(rec_arr.a).conjugate() ` `print` `(``"Output 1st conjugated array : "``, out_arr)  ` ` `  `# 2nd record array ` `rec_arr ``=` `rec_arr.b ` `print``(``"2nd Record array of complex : "``, rec_arr) ` ` `  `# applying recarray.conjugate methods to 2nd record array ` `out_arr ``=` `rec_arr.conjugate() ` `print` `(``"Output 2nd conjugated array : "``, out_arr)  `

Output:

```Input array :  [[( 4.+1.j,  1.+3.j) ( 5.+0.j,  5.-1.j) ( 8.-6.j,  9.+0.j)]
[( 9.+0.j,  1.+0.j) ( 7.+1.j,  3.-1.j) (-2.+6.j, -7.+3.j)]]
1st Record array of complex :  [[ 4.+1.j  5.+0.j  8.-6.j]
[ 9.+0.j  7.+1.j -2.+6.j]]
Output 1st conjugated array :  [[ 4.-1.j  5.-0.j  8.+6.j]
[ 9.-0.j  7.-1.j -2.-6.j]]
2nd Record array of complex :  [[ 1.+3.j  5.-1.j  9.+0.j]
[ 1.+0.j  3.-1.j -7.+3.j]]
Output 2nd conjugated array :  [[ 1.-3.j  5.+1.j  9.-0.j]
[ 1.-0.j  3.+1.j -7.-3.j]]
```

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