def concat(objs, dim=None, data_vars='all', coords='different',
           compat='equals', positions=None, indexers=None, mode=None,
           concat_over=None):
    """Concatenate xarray objects along a new or existing dimension.

    Parameters
    ----------
    objs : sequence of Dataset and DataArray objects
        xarray objects to concatenate together. Each object is expected to
        consist of variables and coordinates with matching shapes except for
        along the concatenated dimension.
    dim : str or DataArray or pandas.Index
        Name of the dimension to concatenate along. This can either be a new
        dimension name, in which case it is added along axis=0, or an existing
        dimension name, in which case the location of the dimension is
        unchanged. If dimension is provided as a DataArray or Index, its name
        is used as the dimension to concatenate along and the values are added
        as a coordinate.
    data_vars : {'minimal', 'different', 'all' or list of str}, optional
        These data variables will be concatenated together:
          * 'minimal': Only data variables in which the dimension already
            appears are included.
          * 'different': Data variables which are not equal (ignoring
            attributes) across all datasets are also concatenated (as well as
            all for which dimension already appears). Beware: this option may
            load the data payload of data variables into memory if they are not
            already loaded.
          * 'all': All data variables will be concatenated.
          * list of str: The listed data variables will be concatenated, in
            addition to the 'minimal' data variables.
        If objects are DataArrays, data_vars must be 'all'.
    coords : {'minimal', 'different', 'all' o list of str}, optional
        These coordinate variables will be concatenated together:
          * 'minimal': Only coordinates in which the dimension already appears
            are included.
          * 'different': Coordinates which are not equal (ignoring attributes)
            across all datasets are also concatenated (as well as all for which
            dimension already appears). Beware: this option may load the data
            payload of coordinate variables into memory if they are not already
            loaded.
          * 'all': All coordinate variables will be concatenated, except
            those corresponding to other dimensions.
          * list of str: The listed coordinate variables will be concatenated,
            in addition the 'minimal' coordinates.
    compat : {'equals', 'identical'}, optional
        String indicating how to compare non-concatenated variables and
        dataset global attributes for potential conflicts. 'equals' means
        that all variable values and dimensions must be the same;
        'identical' means that variable attributes and global attributes
        must also be equal.
    positions : None or list of integer arrays, optional
        List of integer arrays which specifies the integer positions to which
        to assign each dataset along the concatenated dimension. If not
        supplied, objects are concatenated in the provided order.
    indexers, mode, concat_over : deprecated

    Returns
    -------
    concatenated : type of objs

    See also
    --------
    auto_combine
    """
    # TODO: add join and ignore_index arguments copied from pandas.concat
    # TODO: support concatenating scaler coordinates even if the concatenated
    # dimension already exists
    from .dataset import Dataset
    from .dataarray import DataArray

    try:
        first_obj, objs = utils.peek_at(objs)
    except __HOLE__:
        raise ValueError('must supply at least one object to concatenate')

    if dim is None:
        warnings.warn('the `dim` argument to `concat` will be required '
                      'in a future version of xarray; for now, setting it to '
                      "the old default of 'concat_dim'",
                      FutureWarning, stacklevel=2)
        dim = 'concat_dims'

    if indexers is not None:  # pragma: nocover
        warnings.warn('indexers has been renamed to positions; the alias '
                      'will be removed in a future version of xarray',
                      FutureWarning, stacklevel=2)
        positions = indexers

    if mode is not None:
        raise ValueError('`mode` is no longer a valid argument to '
                         'xarray.concat; it has been split into the `data_vars` '
                         'and `coords` arguments')
    if concat_over is not None:
        raise ValueError('`concat_over` is no longer a valid argument to '
                         'xarray.concat; it has been split into the `data_vars` '
                         'and `coords` arguments')

    if isinstance(first_obj, DataArray):
        f = _dataarray_concat
    elif isinstance(first_obj, Dataset):
        f = _dataset_concat
    else:
        raise TypeError('can only concatenate xarray Dataset and DataArray '
                        'objects, got %s' % type(first_obj))
    return f(objs, dim, data_vars, coords, compat, positions)
dataset/ETHPy150Open pydata/xarray/xarray/core/combine.py/concat