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.
- pandas.DataFrame.drop
DataFrame.drop(labels=None, axis=0, index=None,...
- pandas.DataFrame.drop
DataFrame.drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors='raise')[source] ¶. Return new object with labels in requested axis removed. Parameters: labels : single label or list-like. Index or column labels to drop. axis : int or axis name.
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)
16 lis 2012 · The best way to do this in Pandas is to use drop: df = df.drop('column_name', axis=1) where 1 is the axis number (0 for rows and 1 for columns.) Or, the drop() method accepts index/columns keywords as an alternative to specifying the axis. So we can now just do: df = df.drop(columns=['column_nameA', 'column_nameB'])
27 mar 2023 · We'll go through the syntax and parameters of the .drop() method, including how to specify columns to remove and how to control whether the original DataFrame is modified in place or a new DataFrame is returned.
24 sie 2020 · To drop a Pandas DataFrame column, you can use the .drop () method, which allows you to pass in the name of a column to drop. Let’s take a look at the .drop () method and the parameters that it accepts:
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 specifying directly index or column names.
