This tutorial will discuss about unique ways to check if any value in numpy array is negative in Python.

**Table Of Contents**

## Method 1: Using numpy.any()

The numpy module provides a function `numpy.any()`

. It accepts a boolean sequence as an argument and returns `True`

, if all the elements in this sequence evaluates to `True`

. We can use this function to check if a numpy array contains any negative value.

Apply the `< operator`

on a numpy array, to check if array contains any value less than zero or not. It will return a boolean array, and each True value in this boolean array represent that the corresponding value in the original numpy array is less than zero.

Now pass this boolean array to the `numpy.any()`

method, and it will return `True`

if there is any negative value in numpy array. Like this

np.any(arr < 0)

If this returns True, then it means that the numpy array has at least one negative value.

**Let’s see the complete example,**

### Frequently Asked:

- Check if all elements in a NumPy array are unique
- Check if any value in Numpy Array is negative in Python
- Check if a Numpy Array is in ascending order
- Check if a NumPy Array is in descending order

import numpy as np # Create a NumPy Array arr = np.array([34, 22, 56, -89, 16]) # Check if numpy array has any negative value if np.any(arr < 0): print("The NumPy Array has at least one negative value") else: print("The NumPy Array does not have any negative values")

**Output**

The NumPy Array has at least one negative value

## Method 1: Using any() function

Iterate over all the elements of NumPy array using a for-loop inside a generator expression. For each element, check if it is less than zero or not. It will give us a boolean sequence, and each True value in this sequence represents that the corresponding value in the original NumPy array is less than zero. Pass this boolean sequence to the any() function of Python. It will return true if the boolean sequence has any True value.

**Let’s see the complete example,**

import numpy as np # Create a NumPy Array arr = np.array([34, 22, 56, -89, 16]) # Check if numpy array has any negative value if any(x < 0 for x in arr): print("The NumPy Array has at least one negative value") else: print("The NumPy Array does not have any negative values")

**Output**

The NumPy Array has at least one negative value

## Summary

We learned about two ways to check if a NumPy Array contains a negative value in Python. Thanks.