xarray/core/variable.py
def concat(variables, dim="concat_dim", positions=None, shortcut=False):
    """Concatenate variables along a new or existing dimension.

    Parameters
    ----------
    variables : iterable of Variable
        Arrays to stack together. Each variable is expected to have
        matching dimensions and shape except for along the stacked
        dimension.
    dim : str or DataArray, optional
        Name of the dimension to stack 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. Where to insert the new dimension is
        determined by the first variable.
    positions : None or list of array-like, 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.
    shortcut : bool, optional
        This option is used internally to speed-up groupby operations.
        If `shortcut` is True, some checks of internal consistency between
        arrays to concatenate are skipped.

    Returns
    -------
    stacked : Variable
        Concatenated Variable formed by stacking all the supplied variables
        along the given dimension.
    """
    variables = list(variables)
    if all(isinstance(v, IndexVariable) for v in variables):
        return IndexVariable.concat(variables, dim, positions, shortcut)
    else:
        return Variable.concat(variables, dim, positions, shortcut)
Concatenate variables along a new or existing dimension.

    Parameters
    ----------
    variables : iterable of Variable
        Arrays to stack together. Each variable is expected to have
        matching dimensions and shape except for along the stacked
        dimension.
    dim : str or DataArray, optional
        Name of the dimension to stack 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. Where to insert the new dimension is
        determined by the first variable.
    positions : None or list of array-like, 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.
    shortcut : bool, optional
        This option is used internally to speed-up groupby operations.
        If `shortcut` is True, some checks of internal consistency between
        arrays to concatenate are skipped.

    Returns
    -------
    stacked : Variable
        Concatenated Variable formed by stacking all the supplied variables
        along the given dimension.
    
Concatenate variables along a new or existing dimension.
Parameters

variables : iterable of Variable
Arrays to stack together. Each variable is expected to have
matching dimensions and shape except for along the stacked
dimension.
dim : str or DataArray, optional
Name of the dimension to stack 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. Where to insert the new dimension is
determined by the first variable.
positions : None or list of array-like, 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.
shortcut : bool, optional
This option is used internally to speed-up groupby operations.
If `shortcut` is True, some checks of internal consistency between
arrays to concatenate are skipped.

Returns

stacked : Variable
Concatenated Variable formed by stacking all the supplied variables
along the given dimension.
Concatenate variables along a new or existing dimension . Parameters variables : iterable of Variable Arrays to stack together . Each variable is expected to have matching dimensions and shape except for along the stacked dimension . dim : str or DataArray optional Name of the dimension to stack 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 . Where to insert the new dimension is determined by the first variable . positions : None or list of array - like 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 . shortcut : bool optional This option is used internally to speed - up groupby operations . If ` shortcut ` is True some checks of internal consistency between arrays to concatenate are skipped . Returns stacked : Variable Concatenated Variable formed by stacking all the supplied variables along the given dimension .
def concat(variables, dim="concat_dim", positions=None, shortcut=False):
    variables = list(variables)
    if all(isinstance(v, IndexVariable) for v in variables):
        return IndexVariable.concat(variables, dim, positions, shortcut)
    else:
        return Variable.concat(variables, dim, positions, shortcut)
def concat ( variables , dim = "concat_dim" , positions = None , shortcut = False ) : variables = list ( variables ) if all ( isinstance ( v , IndexVariable ) for v in variables ) : return IndexVariable . concat ( variables , dim , positions , shortcut ) else : return Variable . concat ( variables , dim , positions , shortcut )
Concatenate variables along a new or existing dimension.
Concatenate variables along a new or existing dimension .
"""Concatenate variables along a new or existing dimension.

    Parameters
    ----------
    variables : iterable of Variable
        Arrays to stack together. Each variable is expected to have
        matching dimensions and shape except for along the stacked
        dimension.
    dim : str or DataArray, optional
        Name of the dimension to stack 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. Where to insert the new dimension is
        determined by the first variable.
    positions : None or list of array-like, 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.
    shortcut : bool, optional
        This option is used internally to speed-up groupby operations.
        If `shortcut` is True, some checks of internal consistency between
        arrays to concatenate are skipped.

    Returns
    -------
    stacked : Variable
        Concatenated Variable formed by stacking all the supplied variables
        along the given dimension.
    """
variables
dim
positions
shortcut