# How to check whether specified values are present in NumPy array?

Sometimes we need to test whether certain values are present in an array. Using Numpy array, we can easily find whether specific values are present or not. For this purpose, we use the “in” operator. “in” operator is used to check whether certain element and values are present in a given sequence and hence return Boolean values ‘True” and “False“.

Example 1:

## Python3

 `# importing Numpy package ` `import` `numpy as np ` ` `  `# creating a Numpy array ` `n_array ``=` `np.array([[``2``, ``3``, ``0``], ` `                    ``[``4``, ``1``, ``6``]]) ` ` `  `print``(``"Given array:"``) ` `print``(n_array) ` ` `  `# Checking whether specific values ` `# are present in "n_array" or not ` `print``(``2` `in` `n_array) ` `print``(``0` `in` `n_array) ` `print``(``6` `in` `n_array) ` `print``(``50` `in` `n_array) ` `print``(``10` `in` `n_array) `

Output:

```Given array:
[[2 3 0]
[4 1 6]]
True
True
True
False
False
```

In the above example, we check whether values 2, 0, 6, 50, 10 are present in Numpy array ‘n_array‘ using the ‘in‘ operator.

Example 2:

## Python3

 `# importing Numpy package ` `import` `numpy as np ` ` `  `# creating a Numpy array ` `n_array ``=` `np.array([[``2.14``, ``3``, ``0.5``], ` `                    ``[``4.5``, ``1.2``, ``6.2``], ` `                    ``[``20.2``, ``5.9``, ``8.8``]]) ` ` `  `print``(``"Given array:"``) ` `print``(n_array) ` ` `  `# Checking whether specific values ` `# are present in "n_array" or not ` `print``(``2.14` `in` `n_array) ` `print``(``5.28` `in` `n_array) ` `print``(``6.2` `in` `n_array) ` `print``(``5.9` `in` `n_array) ` `print``(``8.5` `in` `n_array) `

Output:

```Given array:
[[ 2.14  3.    0.5 ]
[ 4.5   1.2   6.2 ]
[20.2   5.9   8.8 ]]
True
False
True
True
False
```

In the above example, we check whether values 2.14, 5.28, 6.2, 5.9, 8.5 are present in Numpy array ‘n_array‘.

Example 3:

## Python3

 `# importing Numpy package ` `import` `numpy as np ` ` `  `# creating a Numpy array ` `n_array ``=` `np.array([[``4``, ``5.5``, ``7``, ``6.9``, ``10``], ` `                    ``[``7.1``, ``5.3``, ``40``, ``8.8``, ``1``], ` `                    ``[``4.4``, ``9.3``, ``6``, ``2.2``, ``11``], ` `                    ``[``7.1``, ``4``, ``5``, ``9``, ``10.5``]]) ` ` `  ` `  `print``(``"Given array:"``) ` `print``(n_array) ` ` `  `# Checking whether specific values ` `# are present in "n_array" or not ` `print``(``2.14` `in` `n_array) ` `print``(``5.28` `in` `n_array) ` `print``(``8.5` `in` `n_array) `

Output:

```Given array:
[[ 4.   5.5  7.   6.9 10. ]
[ 7.1  5.3 40.   8.8  1. ]
[ 4.4  9.3  6.   2.2 11. ]
[ 7.1  4.   5.   9.  10.5]]
False
False
False
```

In the above example, we check whether values 2.14, 5.28, 8.5 are present in Numpy array ‘n_array‘.

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