What is the main difference between a Pandas series and a single-column DataFrame in Python?
There are no major differences between Pandas Series and a single column dataframe except
- “The Column Name or Header”
- Series does not have any name/header where as the dataframe has column names.
- The pandas functions related to Data Frame can be used for the dataframe column and the pandas functions related to Series can be used for the series.
- There are many functions which can be used for both Series and Data Frames, however not all functions can be used interchangeably.