numpy.lib.tests.test_nanfunctions.TestNanFunctions_Percentile

@pytest.mark.parametrize('axis', [None, 0, 1])
@pytest.mark.parametrize('dtype', np.typecodes['AllFloat'])
@pytest.mark.parametrize('array', [np.array(np.nan), np.full((3, 3), np.nan)], ids=['0d', '2d'])
def test_allnans(self, axis, dtype, array): (source) ¶

def test_empty(self): (source) ¶

def test_extended_axis_invalid(self): (source) ¶

def test_keepdims(self): (source) ¶

@pytest.mark.parametrize('q', [7, [1, 7]])
@pytest.mark.parametrize(argnames='axis', argvalues=[None, 1, (1), (0, 1), (-3, -1)])
@pytest.mark.filterwarnings('ignore:All-NaN slice:RuntimeWarning')
def test_keepdims_out(self, q, axis): (source) ¶

def test_multiple_percentiles(self): (source) ¶

def test_mutation(self): (source) ¶

def test_out(self): (source) ¶

def test_result_values(self): (source) ¶

def test_scalar(self): (source) ¶