drop(labels, axis)

def drop(self, labels=None, axis=0, index=None, columns=None, level=None,
         inplace=False, errors='raise'):
    """
    Return new object with labels in requested axis removed.

    Parameters
    ----------
    labels : single label or list-like
        Index or column labels to drop.

axis=0	axis=1
删除行	删除列

axis : int or axis name
Whether to drop labels from the index (0 / ‘index’) or
columns (1 / ‘columns’).

    index, columns : single label or list-like
        Alternative to specifying `axis` (``labels, axis=1`` is
        equivalent to ``columns=labels``).

        .. versionadded:: 0.21.0
    level : int or level name, default None
        For MultiIndex
    inplace : bool, default False
        If True, do operation inplace and return None.
    errors : {'ignore', 'raise'}, default 'raise'
        If 'ignore', suppress error and existing labels are dropped.

    Returns
    -------
    dropped : type of caller

    Examples
    --------
    >>> df = pd.DataFrame(np.arange(12).reshape(3,4),
                          columns=['A', 'B', 'C', 'D'])
    >>> df
       A  B   C   D
    0  0  1   2   3
    1  4  5   6   7
    2  8  9  10  11

    Drop columns

    >>> df.drop(['B', 'C'], axis=1)
       A   D
    0  0   3
    1  4   7
    2  8  11

    >>> df.drop(columns=['B', 'C'])
       A   D
    0  0   3
    1  4   7
    2  8  11

    Drop a row by index

    >>> df.drop([0, 1])
       A  B   C   D
    2  8  9  10  11

    Notes
    -----
    Specifying both `labels` and `index` or `columns` will raise a
    ValueError.

    """