How to merge/join 2 rows in dateframe that added NaN values for misread long columns using Pandas?
here i have row 20 and row 21. row 21 is the excess of the file-path and name. there is supposed to be 3 columns. File-Name, Time Stamp, and File Size. the read added rows where the file-Name was too long. i need to merge the two rows and remove the None and NaN values and remove the extra row. this would be a real helpful lesson.