def test_plot_and_annotate_without_test_name(self):
ax, annotations, annotator = Annotator.plot_and_annotate(
plot="boxplot",
pairs=self.pairs_for_df,
plot_params=self.params_df,
configuration={
'test': 'Mann-Whitney',
'text_format': 'full',
'show_test_name': False
},
annotation_func='apply_test',
ax_op_after=[['set_xlabel', ['Group'], None]],
annotation_params={'num_comparisons': 'auto'})
self.assertEqual("p =", annotator.get_annotations_text()[0][:3])
def test_plot_and_annotate(self):
ax, annotations, annotator = Annotator.plot_and_annotate(
plot="boxplot",
pairs=self.pairs_for_df,
plot_params=self.params_df,
configuration={
'test': 'Mann-Whitney',
'text_format': 'simple'
},
annotation_func='apply_test',
ax_op_after=[['set_xlabel', ['Group'], None]],
annotation_params={'num_comparisons': 'auto'})
expected = (['M.W.W. p = 0.25', 'M.W.W. p = 0.67']
if version.parse(scipy.__version__) < version.parse("1.7")
else ['M.W.W. p = 0.33', 'M.W.W. p = 1.00'])
self.assertEqual(expected, annotator.get_annotations_text())
