Search results
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.
DataFrame.drop_duplicates(subset=None, *, keep='first', inplace=False, ignore_index=False) [source] #. Return DataFrame with duplicate rows removed. Considering certain columns is optional. Indexes, including time indexes are ignored. Parameters:
DataFrame.drop (self, 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 specifying directly index or column names.
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. Syntax. dataframe.drop (labels, axis, index, columns, level, inplace., errors)
8 sie 2023 · The drop () method allows you to delete rows and columns from pandas.DataFrame. pandas.DataFrame.drop — pandas 2.0.3 documentation. Contents. Delete rows from pandas.DataFrame. Specify by row name (label) Specify by row number. Notes on when the index is not set. Delete columns from pandas.DataFrame. Specify by column name (label)
30 wrz 2017 · As the df.drop documentation specifies: inplace: bool, default False. If True, do operation inplace and return None. Note that when drop is called inplace, it returns None (that is the default value of any function that does not return a value), and A will have already been updated. The other option is to drop, but return a copy.
The drop() method in Pandas returns a new DataFrame or Series with the specified rows or columns removed, depending on whether you are dropping rows or columns.
