def test_cohn(self):
cols = ['nuncen_above', 'nobs_below', 'ncen_equal', 'prob_exceedance']
cohn = ros.cohn_numbers(self.df, self.rescol, self.cencol)
pdtest.assert_frame_equal(
cohn[cols],
self.expected_cohn[cols],
check_less_precise=True,
)
def test_cohn(self):
cols = ['nuncen_above', 'nobs_below', 'ncen_equal', 'prob_exceedance']
cohn = ros.cohn_numbers(self.df, self.rescol, self.cencol)
# Use round in place of the deprecated check_less_precise arg
assert_frame_equal(
np.round(cohn[cols], 3),
np.round(self.expected_cohn[cols], 3),
)
def test_cohn(self):
cols = [
'nuncen_above', 'nobs_below',
'ncen_equal', 'prob_exceedance'
]
cohn = ros.cohn_numbers(self.df, self.rescol, self.cencol)
pdtest.assert_frame_equal(
cohn[cols],
self.expected_cohn[cols],
check_less_precise=True,
)
def test_no_NDs(self):
_df = self.df.copy()
_df['qual'] = False
result = ros.cohn_numbers(_df, observations='conc', censorship='qual')
assert result.shape == (0, 6)
def test_baseline(self):
result = ros.cohn_numbers(self.df, observations='conc', censorship='censored')
pdtest.assert_frame_equal(result, self.expected_baseline)
def test_no_NDs(self):
_df = self.df.copy()
_df['qual'] = False
result = ros.cohn_numbers(_df, observations='conc', censorship='qual')
ntools.assert_tuple_equal(result.shape, (0, 6))
def test_no_NDs(self):
result = ros.cohn_numbers(self.df.assign(qual=False), result='conc', censorship='qual')
ntools.assert_tuple_equal(result.shape, (0, 6))
def test_no_NDs(self):
_df = self.df.copy()
_df['qual'] = False
result = ros.cohn_numbers(_df, observations='conc', censorship='qual')
ntools.assert_tuple_equal(result.shape, (0, 6))
def test_no_NDs(self):
result = ros.cohn_numbers(self.df.assign(qual=False),
result='conc',
censorship='qual')
ntools.assert_tuple_equal(result.shape, (0, 6))