Test Numpy array values for infiniteness and store the result in a new location

NumpyServer Side ProgrammingProgramming

To test array values for infiniteness, use the numpy.isinf() method in Python Numpy. The new location where we will store the result is a new array. 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 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)

Create another array with the same shape to store the result −

arrRes = np.array([5, 5, 5, 5, 5, 5, 5])

To test array values for infiniteness, use the numpy.isinf() method in Python Numpy. The new location where we will store the result is arrRes −

print("\nTest array for infiniteness...\n",np.isinf(arr, arrRes))

Check the value of the new array where our result is stored −

print("\nResult...\n",arrRes)

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)

# Create another array with the same shape to store the result
arrRes = np.array([5, 5, 5, 5, 5, 5, 5])

# To test array values for infiniteness, use the numpy.isfinite() method in Python Numpy
# The new location where we will store the result is arrRes
print("\nTest array for infiniteness...\n",np.isinf(arr, arrRes))

# Check the value of the new array where our result is stored
print("\nResult...\n",arrRes)

Output

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

Our Array type...
float64

Our Array Dimensions...
1

Number of elements...
7

Test array for infiniteness...
[0 0 0 0 1 0 1]

Result...
[0 0 0 0 1 0 1]
raja
Updated on 08-Feb-2022 05:51:12

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