# How can an array of integers be converted into a binary matrix?

I encountered a code snippet online, copied it into a code editor, and it functions properly. However, the lack of comments makes it challenging to understand its purpose. Here’s the code:

I’m seeking assistance in deciphering the code and would appreciate a more efficient alternative with a detailed explanation of the underlying concept.

1 Like

Hello @safiaa.02, the code you pasted seems to be a technique used in coding where you convert an integer array or data structure into a boolean array containing 0s and 1s. The code does seem messy and I have provided an alternate method below with an explanation for doing the same thing, I hope it helps.

• The code uses the `np.bitwise_and()` function to apply bitwise AND to each element of the integer array and the mask to determine which columns must be set to `1`.
• The resulting binary matrix has a shape of `(4, 1, 4)`, where each row is a 2D array with a single row and `4` columns. Therefore, `np.reshape(-1, 4)` is used which flattens the binary matrix to a 2D array with `4` columns and a number of rows that is automatically calculated based on the original shape.

This code snippet utilizes NumPy to convert a vector of integers into a binary matrix. The integers are first converted to their binary representation, and the resulting binary vectors are vertically stacked to form the binary matrix. The `np.binary_repr()` function is employed for the binary conversion, and the `np.vstack()` function is used for stacking. The final binary matrix is then printed. If you have any questions or need further clarification, feel free to ask!