Web Reference: Jul 11, 2025 · Pandas provide data analysts with a way to delete and filter data frames using dataframe.drop() the method. Rows or columns can be removed using an index label or column name using this method. Remove rows or columns by specifying label names and corresponding axis, or by directly specifying index or column names. When using a multi-index, labels on different levels can be removed by specifying the level. The above seems a bit confusing; axis=1 would indeed drop columns, so axis=0 or axis='index' would be the way to drop rows. Correct approach, but need to set that parameter correctly based on the use case.
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