Syntax error Test array values for positive or negative infinity in Numpy

Test array values for positive or negative infinity in Numpy

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...
", arr)

Get the type of the arrays −

print("
Our Array type...
", arr.dtype)

Get the dimensions of the Arrays −

print("
Our Array Dimensions...
",arr.ndim)

Get the number of elements in the Array −

print("
Number of elements...
", arr.size)

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

print("
Test array for positive or negative infinity...
",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...
", arr)

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

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

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

# To test array for positive or negative infinity, use the numpy.isinf() method in Python Numpy
print("
Test array for positive or negative infinity...
",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]
Updated on: 2022-02-08T05:48:25+05:30

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