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from agate import utils
def rename(self, column_names=None, row_names=None, slug_columns=False, slug_rows=False, **kwargs):
"""
Create a copy of this table with different column names or row names.
By enabling :code:`slug_columns` or :code:`slug_rows` and not specifying
new names you may slugify the table's existing names.
:code:`kwargs` will be passed to the slugify method in python-slugify. See:
https://github.com/un33k/python-slugify
:param column_names:
New column names for the renamed table. May be either an array or
a dictionary mapping existing column names to new names. If not
specified, will use this table's existing column names.
:param row_names:
New row names for the renamed table. May be either an array or
a dictionary mapping existing row names to new names. If not
specified, will use this table's existing row names.
:param slug_columns:
If True, column names will be converted to slugs and duplicate names
will have unique identifiers appended.
:param slug_rows:
If True, row names will be converted to slugs and dupicate names will
have unique identifiers appended.
"""
from agate.table import Table
if isinstance(column_names, dict):
column_names = [column_names[name] if name in column_names else name for name in self._column_names]
if isinstance(row_names, dict):
row_names = [row_names[name] if name in row_names else name for name in self._row_names]
if slug_columns:
column_names = column_names or self._column_names
if column_names is not None:
if column_names == self._column_names:
column_names = utils.slugify(column_names, ensure_unique=False, **kwargs)
else:
column_names = utils.slugify(column_names, ensure_unique=True, **kwargs)
if slug_rows:
row_names = row_names or self.row_names
if row_names is not None:
row_names = utils.slugify(row_names, ensure_unique=True, **kwargs)
if column_names is not None and column_names != self._column_names:
if row_names is None:
row_names = self._row_names
return Table(self._rows, column_names, self._column_types, row_names=row_names, _is_fork=False)
return self._fork(self._rows, column_names, self._column_types, row_names=row_names)
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