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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: 08-Feb-2022
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