def drop_na_axis(table):
    """
    drop na from table.
    Parameters
    ----------
    table: pandas dataframe table, 
        we will drop all na from this table.
    Returns
    -------
    The table without the na values.
    """
    if table.isnull().values.any():
        before_feat = table.shape[1]
        table = table.dropna(axis=1)
        print("We dropped {} features because of NaN".format(before_feat - table.shape[1]))
    print("We have {} segmented cells and {} features fed to the umap".format(table.shape[0], table.shape[1]))
    return table