# Test whether the elements of a given NumPy array is zero or not in Python

In numpy, we can check that whether none of the elements of given array is zero or not with the help of numpy.all() function. In this function pass an array as parameter. If any of one element of the passed array is zero then it returns False otherwise it returns True boolean value.

Syntax: numpy.all()

Parameters: An array

Return: A boolean value (True or False)

Let’s see the examples:

Example 1:

## Python

 `# import numpy library ` `import` `numpy as np ` ` `  `# create an array ` `x ``=` `np.array([``34``, ``56``, ``89``, ` `              ``23``, ``69``, ``980``, ` `              ``567``]) ` ` `  `# print array ` `print``(x) ` ` `  `# Test if none of the elements  ` `# of the said array is zero ` `print``(np.``all``(x)) `

Output:

```[34,56,89,23,69,980,567]
True
```

Example 2:

## Python

 `# import numpy library ` `import` `numpy as np ` ` `  `# create an array ` `x ``=` `np.array([``1``, ``2``, ``3``, ` `              ``4``, ``6``, ``7``, ` `              ``8``, ``9``, ``10``, ` `              ``0``, ``89``, ``67``]) ` ` `  `# print array ` `print``(x) ` ` `  `# Test if none of the elements ` `# of the said array is zero ` `print``(np.``all``(x)) `

Output:

```False
```

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