add more labels in dtype=uint8 array in python

To add more labels to a dtype=uint8 array in Python using NumPy, you can assign the values directly to the array elements. Here is an example:


main.py
import numpy as np

# Create a uint8 array
arr = np.zeros((10, 10), dtype=np.uint8)

# Assign labels to array elements
arr[2, 3] = 1
arr[5, 7] = 2
arr[8, 1] = 3

# Print the array
print(arr)
191 chars
13 lines

Output:


main.py
[[0 0 0 0 0 0 0 0 0 0]
 [0 0 0 0 0 0 0 0 0 0]
 [0 0 0 1 0 0 0 0 0 0]
 [0 0 0 0 0 0 0 0 0 0]
 [0 0 0 0 0 0 0 0 0 0]
 [0 0 0 0 0 0 0 2 0 0]
 [0 0 0 0 0 0 0 0 0 0]
 [0 0 0 0 0 0 0 0 0 0]
 [0 3 0 0 0 0 0 0 0 0]
 [0 0 0 0 0 0 0 0 0 0]]
231 chars
11 lines

In this example, the array arr is created as a 10x10 uint8 array filled with zeros. Then, labels 1, 2, and 3 are assigned to specific elements in the array (e.g., arr[2, 3] = 1). Finally, the array is printed to verify the labels have been added correctly.

similar python code snippets

create the matrix in python

meandershaped array in numpy in python

match a pattern in a numpy array in python

find the positions of the minima using numpy in python

find the standard deviation of all elements in an array in python

list to array in numpy in python

create numpy array of equally spaced values from a range in python

suppose that x is a 2d numpy array which of the following creates deep copy in y in python

find the variance of all elements in an array in python

find the average of all elements in an array in python

related categories