Understanding df.isnull() in Pandas: Detecting Missing Values

The 'df.isnull()' method in Pandas will return a boolean DataFrame. A 'True' value within this DataFrame indicates that a cell contains a missing value or 'NaN' (Not a Number), while 'False' indicates that a value is present in the DataFrame. This method is essential for identifying and handling missing data in your datasets.