# Compare two Numpy arrays with some Inf values and return the element-wise minimum

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To compare two arrays with some Inf values and return the element-wise minimum, use the numpy.minimum() method in Python Numpy. Return value is either True or False. Returns the minimum of x1 and x2, element-wise. This is a scalar if both x1 and x2 are scalars.

Compare two arrays and returns a new array containing the element-wise minima. If one of the elements being compared is a NaN, then that element is returned. If both elements are NaNs then the first is returned. The latter distinction is important for complex NaNs, which are defined as at least one of the real or imaginary parts being a NaN. The net effect is that NaNs are propagated.

NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. It supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries.

## Steps

At first, import the required library −

import numpy as np

Creating two 2D numpy array using the array() method. We have inserted elements with some inf (infinity) values −

arr1 = np.array([[14, np.Inf, 17],[25, 11, 0]])
arr2 = np.array([[8, np.Inf, np.Inf],[22, 0, 26]])

Display the arrays −

print("Array 1...\n", arr1)
print("\nArray 2...\n", arr2)

Get the type of the arrays −

print("\nOur Array 1 type...\n", arr1.dtype)
print("\nOur Array 2 type...\n", arr2.dtype)

Get the dimensions of the Arrays −

print("\nOur Array 1 Dimensions...\n",arr1.ndim)
print("\nOur Array 2 Dimensions...\n",arr2.ndim)

Get the shape of the Arrays −

print("\nOur Array 1 Shape...\n",arr1.shape)
print("\nOur Array 2 Shape...\n",arr2.shape)

To compare two arrays with some Inf values and return the element-wise minimum, use the numpy.minimum() method in Python Numpy. Return value is either True or False −

print("\nResult (minimum)...\n",np.minimum(arr1, arr2))


## Example

import numpy as np

# Creating two 2D numpy array using the array() method
# We have inserted elements with some inf (infinity) values
arr1 = np.array([[14, np.Inf, 17],[25, 11, 0]])
arr2 = np.array([[8, np.Inf, np.Inf],[22, 0, 26]])

# Display the arrays
print("Array 1...\n", arr1)
print("\nArray 2...\n", arr2)

# Get the type of the arrays
print("\nOur Array 1 type...\n", arr1.dtype)
print("\nOur Array 2 type...\n", arr2.dtype)

# Get the dimensions of the Arrays
print("\nOur Array 1 Dimensions...\n",arr1.ndim)
print("\nOur Array 2 Dimensions...\n",arr2.ndim)

# Get the shape of the Arrays
print("\nOur Array 1 Shape...\n",arr1.shape)
print("\nOur Array 2 Shape...\n",arr2.shape)

# To compare two arrays with some Inf values and return the elementwise minimum, use the numpy.minimum() method in Python Numpy
# Return value is either True or False
print("\nResult (minimum)...\n",np.minimum(arr1, arr2))

## Output

Array 1...
[[14. inf 17.]
[25. 11. 0.]]

Array 2...
[[ 8. inf inf]
[22. 0. 26.]]

Our Array 1 type...
float64

Our Array 2 type...
float64

Our Array 1 Dimensions...
2

Our Array 2 Dimensions...
2

Our Array 1 Shape...
(2, 3)

Our Array 2 Shape...
(2, 3)

Result (minimum)...
[[ 8. inf 17.]
[22. 0. 0.]]