Pandas is a powerful Python library for data manipulation, frequently used with DataFrames containing numerical data. A common task involves converting columns of floating-point numbers (floats) to integers. This article details efficient methods for this conversion within a Pandas DataFrame, highlighting their strengths and weaknesses. Table of Contents Using astype(int)…