Compare two arrays and return the element-wise maximum in Numpy

NumpyServer Side ProgrammingProgramming

To compare two arrays and return the element-wise maximum, use the numpy.maximum() method in Python Numpy. Return value is either True or False. Returns the maximum 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 maxima. 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.

Steps

At first, import the required library −

import numpy as np

Creating two 2D numpy array using the array() method. We have inserted elements −

arr1 = np.array([[6, 9, 13],[25, 11, 21]])
arr2 = np.array([[8, 12, 18],[22, 19, 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 and return the element-wise maximum, use the numpy.maximum() method in Python Numpy. Return value is either True or False −

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

Example

import numpy as np

# Creating two 2D numpy array using the array() method
# We have inserted elements
arr1 = np.array([[6, 9, 13], [25, 11, 21]])
arr2 = np.array([[8, 12, 18],[22, 19, 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 and return the element-wise maximum, use the numpy.maximum() method in Python Numpy
# Return value is either True or False
print("\nResult (maximum)...\n",np.maximum(arr1, arr2))

Output

Array 1...
[[ 6 9 13]
[25 11 21]]

Array 2...
[[ 8 12 18]
[22 19 26]]

Our Array 1 type...
int64

Our Array 2 type...
int64

Our Array 1 Dimensions...
2

Our Array 2 Dimensions...
2

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

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

Result (maximum)...
[[ 8 12 18]
[25 19 26]]
raja
Updated on 07-Feb-2022 11:04:15

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