Given an n x n binary matrix image, flip the image horizontally, then invert it, and return the resulting image.To flip an image horizontally means that each row of the image is reversed.For example, flipping [1,1,0] horizontally results in [0,1,1].To invert an image means that each 0 is replaced by 1, and each 1 is replaced by 0.For example, inverting [0,1,1] results in [1,0,0].
Question
Given an n x n binary matrix image, flip the image horizontally, then invert it, and return the resulting image.To flip an image horizontally means that each row of the image is reversed.For example, flipping [1,1,0] horizontally results in [0,1,1].To invert an image means that each 0 is replaced by 1, and each 1 is replaced by 0.For example, inverting [0,1,1] results in [1,0,0].
Solution
Here is a step-by-step guide on how to solve this problem:
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First, we need to flip the image horizontally. This means we need to reverse each row in the matrix. In Python, we can use the
[::-1]slicing method to reverse a list. We can use a loop to iterate over each row in the matrix and reverse it. -
After flipping the image, we need to invert it. This means we need to replace each 0 with 1 and each 1 with 0. We can do this by using a nested loop to iterate over each element in the matrix. If the element is 0, we change it to 1. If it's 1, we change it to 0.
Here is a Python function that implements these steps:
def flip_and_invert_image(image):
# Step 1: Flip the image horizontally
for row in image:
row.reverse()
# Step 2: Invert the image
for i in range(len(image)):
for j in range(len(image[i])):
if image[i][j] == 0:
image[i][j] = 1
else:
image[i][j] = 0
return image
This function takes as input a 2D list image representing the binary matrix, and returns the same list after flipping and inverting it.
Similar Questions
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