Test array values for finiteness in Numpy


To test array values for finiteness, use the numpy.isfinite() method in Python Numpy. Returns True where x is not positive infinity, negative infinity, or NaN; false otherwise. This is a scalar if x is a scalar.

This 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 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 values for finiteness, use the numpy.isfinite() method in Python Numpy −

print("
Test array for finiteness...
",np.isfinite(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 values for finiteness, use the numpy.isfinite() method in Python Numpy print("
Test array for finiteness...
",np.isfinite(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 finiteness...
[ True True True True False True False]

Updated on: 07-Feb-2022

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