In pandas, you can drop rows that contain NaN values by using the dropna() method. By default, this method will drop any row that contains at least one NaN value. However, if you want to drop only rows that are entirely NaN (i.e., all columns in the row are NaN), you can use the how='all' parameter. This will ensure that only rows with all NaN values are removed.To drop NaN values but not columns in pandas, you can use the dropna() method with the axis parameter set to 0.