Hi everyone, I am facing a problem while reshaping a Pandas DataFrame after removing negative values. I have a DataFrame containing several rows and columns, some of which contain negative values. I have used the ‘mask’ function in Pandas to replace all negative values with zero. Now, I want to reshape the DataFrame into a square matrix, but I am not able to figure out the correct method to do so. Therefore, I am seeking your assistance to find an efficient and accurate way to reshape the DataFrame after removing negative values.

I would appreciate any guidance or examples of correct code that can help me to solve this problem.