Function concat

dask/dataframe/dispatch.py:34–76

Concatenate, handling some edge cases: - Unions categoricals between partitions - Ignores empty partitions Parameters ---------- dfs : list of DataFrame, Series, or Index axis : int or str, optional join : str, optional uniform : bool, optional Whether to tr

(
    dfs,
    axis=0,
    join="outer",
    uniform=False,
    filter_warning=True,
    ignore_index=False,
    **kwargs,
)

def concat(
    dfs,
    axis=0,
    join="outer",
    uniform=False,
    filter_warning=True,
    ignore_index=False,
    **kwargs,
):
    """Concatenate, handling some edge cases:

    - Unions categoricals between partitions
    - Ignores empty partitions

    Parameters
    ----------
    dfs : list of DataFrame, Series, or Index
    axis : int or str, optional
    join : str, optional
    uniform : bool, optional
        Whether to treat ``dfs[0]`` as representative of ``dfs[1:]``. Set to
        True if all arguments have the same columns and dtypes (but not
        necessarily categories). Default is False.
    ignore_index : bool, optional
        Whether to allow index values to be ignored/dropped during
        concatenation. Default is False.
    ignore_order : bool, optional
        Whether to ignore the order when doing the union of categoricals.
        Default is False.
    """
    if len(dfs) == 1:
        return dfs[0]
    else:
        func = concat_dispatch.dispatch(type(dfs[0]))
        return func(
            dfs,
            axis=axis,
            join=join,
            uniform=uniform,
            filter_warning=filter_warning,
            ignore_index=ignore_index,
            **kwargs,
        )


def is_categorical_dtype(obj):