Return element-wise True where signbit is set (less than zero) in Numpy

To return element-wise True where signbit is set (less than zero), use the numpy.signbit() method in Python Numpy. Returns the output array, or reference to out if that was supplied. This is a scalar if x is a scalar.

The out is a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

The condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default out=None, locations within it where the condition is False will remain uninitialized.

Steps

At first, import the required library −

import numpy as np

Create an array −

arr = np.array([10, 87, -45, -7.9, 6.5, 89])

Display the array −

print("Array...
", arr)

Get the type of the array −

print("\nOur Array type...
", arr.dtype)

Get the dimensions of the Array −

print("\nOur Array Dimensions...
",arr.ndim)

Get the number of elements in the Array −

print("\nNumber of elements...
", arr.size)

To return element-wise True where signbit is set (less than zero), use the numpy.signbit() method in Python Numpy −

print("\nResult...
",np.signbit(arr))

Example

import numpy as np

# Create an array
arr = np.array([10, 87, -45, -7.9, 6.5, 89])

# Display the array
print("Array...
", arr)

# Get the type of the array
print("\nOur Array type...
", arr.dtype)

# Get the dimensions of the Array
print("\nOur Array Dimensions...
",arr.ndim)

# Get the number of elements in the Array
print("\nNumber of elements...
", arr.size)

# To return element-wise True where signbit is set (less than zero), use the numpy.signbit() method in Python Numpy
print("\nResult...
",np.signbit(arr))

Output

Array...
[ 10. 87. -45. -7.9 6.5 89. ]

Our Array type...
float64

Our Array Dimensions...
1

Number of elements...
6

Result...
[False False True True False False]