def nanall(values, axis=None, skipna=True, mask=None):
    """
    Check if all elements along an axis evaluate to True.

    Parameters
    ----------
    values : ndarray
    axis: int, optional
    skipna : bool, default True
    mask : ndarray[bool], optional
        nan-mask if known

    Returns
    -------
    result : bool

    Examples
    --------
    >>> import pandas.core.nanops as nanops
    >>> s = pd.Series([1, 2, np.nan])
    >>> nanops.nanall(s)
    True

    >>> import pandas.core.nanops as nanops
    >>> s = pd.Series([1, 0])
    >>> nanops.nanall(s)
    False
    """
    values, mask, dtype, _, _ = _get_values(values, skipna, True, copy=skipna,
                                            mask=mask)
    return values.all(axis)
def nanall ( values , axis = None , skipna = True , mask = None ) : values , mask , dtype , _ , _ = _get_values ( values , skipna , True , copy = skipna , mask = mask ) return values . all ( axis )
Check if all elements along an axis evaluate to True.

    Parameters
    ----------
    values : ndarray
    axis: int, optional
    skipna : bool, default True
    mask : ndarray[bool], optional
        nan-mask if known

    Returns
    -------
    result : bool

    Examples
    --------
    >>> import pandas.core.nanops as nanops
    >>> s = pd.Series([1, 2, np.nan])
    >>> nanops.nanall(s)
    True

    >>> import pandas.core.nanops as nanops
    >>> s = pd.Series([1, 0])
    >>> nanops.nanall(s)
    False