Test array values for positive or negative infinity in Numpy

NumpyServer Side ProgrammingProgramming

To test array for positive or negative infinity, use the numpy.isinf() method in Python Numpy. Returns a boolean array of the same shape as x, True where x == +/-inf, otherwise False.

NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic (IEEE 754). Errors result if the second argument is supplied when the first argument is a scalar, or if the first and second arguments have different shapes.

Steps

At first, import the required library −

import numpy as np

Create an array with some inf values −

arr = np.array([1, 2, 10, 50, -np.inf, 0., np.inf])

Display the arrays −

print("Array...\n", arr)

Get the type of the arrays −

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

Get the dimensions of the Arrays −

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

Get the number of elements in the Array −

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

To test array for positive or negative infinity, use the numpy.isinf() method in Python Numpy −

print("\nTest array for positive or negative infinity...\n",np.isinf(arr))

Example

import numpy as np

# Create an array with some inf values
arr = np.array([1, 2, 10, 50, -np.inf, 0., np.inf])

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

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

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

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

# To test array for positive or negative infinity, use the numpy.isinf() method in Python Numpy
print("\nTest array for positive or negative infinity...\n",np.isinf(arr))

Output

Array...
[ 1. 2. 10. 50. -inf 0. inf]

Our Array type...
float64

Our Array Dimensions...
1

Number of elements...
7

Test array for positive or negative infinity...
[False False False False True False True]
raja
Updated on 08-Feb-2022 05:48:25

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