def as_pandas(self, include_solutions=True):
"""Converts the archive into a Pandas dataframe.
Args:
include_solutions (bool): Whether to include solution columns.
Returns:
pandas.DataFrame: A dataframe where each row is an elite in the
archive. The dataframe has ``behavior_dim`` columns called
``index_{i}`` for the archive index, ``behavior_dim`` columns called
``behavior_{i}`` for the behavior values, 1 column for the objective
function value called ``objective``, and ``solution_dim`` columns
called ``solution_{i}`` for the solution values.
"""
return ArchiveBase.as_pandas(self, include_solutions)
def as_pandas(self, include_solutions=True):
"""Converts the archive into a Pandas dataframe.
Args:
include_solutions (bool): Whether to include solution columns.
Returns:
pandas.DataFrame: A dataframe where each row is an elite in the
archive. The dataframe consists of 1 ``index`` column indicating the
index of the centroid in ``self._centroids``, ``behavior_dim``
columns called ``behavior_{i}`` for the behavior values, 1 column
for the objective function value called ``objective``, and
``solution_dim`` columns called ``solution_{i}`` for the solution
values.
"""
df = ArchiveBase.as_pandas(self, include_solutions)
df.rename(columns={"index_0": "index"}, inplace=True)
return df