def pandas_input_fn(x, y=None, batch_size=128, num_epochs=None):
 def input_fn():
    if y is not None:
        x.loc[:,'y'] = y
    queue = learn.dataframe.queues.feeding_functions.enqueue_data(
      x, 1000, shuffle=num_epochs is None, num_epochs=num_epochs)
    if num_epochs is None:
        features = queue.dequeue_many(batch_size)
    else:
        features = queue.dequeue_up_to(batch_size)
    features = dict(zip(['index'] + list(x.columns), features))
    if y is not None:
        target = features.pop('y')
        return features, target
    return features
return input_fn