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# Python | Numpy ndarray.real()

With the help of `Numpy ndarray.real()` method, we can find the real values in an imaginary expressions by just using `ndarray.real()` method. Remember resulting data type for the real value is ‘float64’.

Syntax : `ndarray.real()`

Return : Array of Real values having dtype ‘float64’

Example #1 :
In this example we can see that we get the array of real values using `ndarray.real()` method and we are also trying to print the dtype of those real values.

 `# import the important module in python``import` `numpy as np``         ` `# make an array with numpy``gfg ``=` `np.array([``1` `+` `2j``, ``2` `+` `3j``])``         ` `# applying ndarray.real() method``geeks ``=` `np.real(gfg)``   ` `print``(geeks, end ``=``'\n\n'``)``print``(np.real(geeks).dtype)`

Output:

```[ 1.  2.]

'float64'
```

Example #2 :

 `# import the important module in python``import` `numpy as np``         ` `# make an array with numpy``gfg ``=` `np.array([``1` `+` `2j``, ``2` `+` `3j``])``gfg ``=` `np.sqrt(gfg)``         ` `# applying ndarray.real() method``geeks ``=` `np.real(gfg)``   ` `print``(geeks, end ``=``'\n\n'``)``print``(np.real(geeks).dtype)`

Output:

```[ 1.27201965  1.67414923]

float64
```
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