def test_problem_slicing():
"""Validates that we can slice problems along the sample axis"""
_, _, df = mock_problem()
prob = Problem(df, ['gene1', 'gene2'], 'disease', 'yes')
male_prob = prob[prob.dataframe['gender'] == 'male']
assert_metadata_eq(prob, male_prob)
nose.tools.eq_(male_prob.n_samples, 2)
nose.tools.eq_(male_prob.n_features, 2)
np.testing.assert_array_equal(male_prob.y, [1, 0])
np.testing.assert_array_equal(male_prob.X, prob.X[:2])
custom_prob = prob.iloc([0, 2, 3])
assert_metadata_eq(prob, custom_prob)
nose.tools.eq_(custom_prob.n_samples, 3)
nose.tools.eq_(custom_prob.n_features, 2)
np.testing.assert_array_equal(custom_prob.y, [1, 0, 1])
np.testing.assert_array_equal(custom_prob.X, prob.X[[0, 2, 3]])
def test_y_for_multiclass_slicing():
""" Testing y method for multiclass"""
df = pd.DataFrame(columns=['gene', 'number'],
data=[['gene1', 'one'], ['gene2', 'two'],
['gene3', 'three'], ['gene4', 'four'],
['gene5', 'five']])
prob = Problem(df, ['gene'], 'number', None)
y = prob.y
nose.tools.assert_list_equal(list(y), [2, 4, 3, 1, 0])
subset_prob = prob[prob.dataframe['gene'] != 'gene3']
y_subset = subset_prob.y
nose.tools.assert_list_equal(list(y_subset), [2, 4, 1, 0])
subset_df = df[df['gene'] != 'gene3']
prob_subset_df = Problem(subset_df, ['gene'], 'number', None)
y_subset_df = prob_subset_df.y
nose.tools.assert_list_equal(list(y_subset_df), [2, 3, 1, 0])
prob_subset_df_with_list = Problem(subset_df, ['gene'], 'number', None,
prob.label_list)
y_subset_df_with_list = prob_subset_df_with_list.y
nose.tools.assert_list_equal(list(y_subset_df_with_list), list(y_subset))
custom_prob = prob.iloc([0, 2, 3])
y_custom = custom_prob.y
nose.tools.assert_list_equal(list(y_custom), [2, 3, 1])
custom_df = df.iloc[[0, 2, 3]]
prob_custom_df_with_list = Problem(custom_df, ['gene'], 'number', None)
y_custom_df_with_list = prob_custom_df_with_list.y
nose.tools.assert_list_equal(list(y_custom_df_with_list), [1, 2, 0], None)
prob_custom_df = Problem(custom_df, ['gene'], 'number', None,
prob.label_list)
y_custom_df = prob_custom_df.y
nose.tools.assert_list_equal(list(y_custom_df), list(y_custom))
