# Python | Numpy ndarray.imag()

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

Syntax : `ndarray.imag()`

Return : Array of imaginary values having dtype ‘float64’

Example #1 :
In this example we can see that we get the array of imaginary values using `ndarray.imag()` method and we are also trying to print the dtype of those imag 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.imag() method ` `geeks ``=` `np.imag(gfg) ` `   `  `print``(geeks, end ``=``'\n\n'``) ` `print``(np.imag(geeks).dtype) `

Output:

```[ 2.  3.]

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.imag() method ` `geeks ``=` `np.imag(gfg) ` `   `  `print``(geeks, end ``=``'\n\n'``) ` `print``(np.imag(geeks).dtype) `

Output:

```[ 0.78615138  0.89597748]

float64
```

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