Web Reference: pandas.DataFrame.drop # DataFrame.drop(labels=None, *, axis=0, index=None, columns=None, level=None, inplace=False, errors='raise') [source] # Drop specified labels from rows or columns. 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 ... Dec 4, 2024 · Drop is a useful functionality in Pandas used to remove specified labels from rows or columns in a DataFrame and it provides options to modify the original DataFrame directly or return a new one with the changes. Definition and Usage The drop() method removes the specified row or column. By specifying the column axis (axis='columns'), the drop() method removes the specified column. By specifying the row axis (axis='index'), the drop() method removes the specified row.
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