Most pandas users quickly get familiar with ingesting spreadsheets, CSVs and SQL data. However, there are times when you will have data in a basic list or dictionary and want to populate a DataFrame. Pandas offers several options but it may not always be immediately clear on when to use which ones.
Learn how to use Pandas to drop columns and rows in a dataframe, including how to drop columns or rows based on conditions. Working with bigger dataframes, you'll find yourself wanting to use Pandas to drop columns or rows. Pandas has a number of different ways to do this.