code: def test_rrshift_piping():
      p = data >> ggplot(aes("x", "y")) + geom_point()
      assert p.data is data
  
      with pytest.raises(PlotnineError):
          data >> ggplot(data.copy(), aes("x", "y")) + geom_point()
  
      with pytest.raises(TypeError):
          "not a dataframe" >> ggplot(aes("x", "y")) + geom_point()
  
imports: from copy import deepcopy
  import numpy
  import pandas
  import pytest
  from plotnine import aes, after_scale, after_stat, annotate, coord_trans, facet_null, geom_bar, geom_histogram, geom_line, geom_point, ggplot, ggtitle, guides, labs, lims, scale_x_continuous, stage, stat_identity, theme, theme_gray, xlab, xlim, ylab
  from plotnine.exceptions import PlotnineError, PlotnineWarning
  from plotnine.mapping.aes import is_valid_aesthetic
label_desc: Use image node_id 15 for calling a global function with example usage: test_rrshift_piping() without return types