What is the main difference between a Pandas series and a single-column DataFrame in Python?

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.