def test_check_mostly_same_bad1_ser():
# verifies that the mostly same check finds rows with mostly the same value
fail = pd.DataFrame.from_dict({
'mostly_same': (True,),
'thresh': (0.7,),
'mean': (0.75,),
})
assert fail.equals(bf.check_mostly_same(bad_same2['b1'], 0.7))
def test_check_mostly_same_bad1_df():
# verifies that the mostly same check finds rows with mostly the same value
fail = pd.DataFrame.from_dict({
'column': ('b1', 'b2'),
'mostly_same': (True, False),
'thresh': (0.7, 0.7),
'mean': (0.75, 0.5),
})
assert fail.equals(bf.check_mostly_same(bad_same2, 0.7))
def test_check_all_same_good_ser():
# verifies good data passes the all same check
assert not bf.check_all_same(good['g1']).loc[:, 'all_same'].any()
def test_validate_dtype_bad_float_ser():
# checks that TypeError is raised when series contains float data
with pytest.raises(TypeError) as excinfo:
bf._validate_binary_dtype(bad_type2['b1'])
# verifies TypeError contains appropriate message
assert 'should be of type bool or int64' in str(excinfo.value)
def test_validate_dtype_bad_str_df():
# checks that TypeError is raised when df contains object (str) data
with pytest.raises(TypeError) as excinfo:
bf._validate_binary_dtype(bad_type1)
# verifies TypeError contains appropriate message
assert 'should be of type bool or int64' in str(excinfo.value)
def test_validate_dtype_good_ser():
# verifies good data passes the dtype check
bf._validate_binary_dtype(good['g1'])
def test_check_range_bad2_ser():
# verifies that the range check finds rows with high values
fail = pd.DataFrame.from_dict({'outside_range': (True,)})
assert fail.equals(bf.check_outside_range(bad_range2['b1']))
def test_check_range_bad2_df():
# verifies that the range check finds rows with high values
fail = pd.DataFrame.from_dict({'column': ('b1', 'b2'), 'outside_range': (True, False)})
assert fail.equals(bf.check_outside_range(bad_range2))
def test_check_range_good_ser():
# verifies good data passes the range check
assert not bf.check_outside_range(good['g1']).loc[:, 'outside_range'].any()
def test_check_outside_range_good_df():
# verifies good data passes the range check
assert not bf.check_outside_range(good).loc[:, 'outside_range'].any(axis=0)
def test_check_mostly_same_good_ser():
# verifies good data passes the mostly same check
assert not bf.check_mostly_same(good['g1']).loc[:, 'mostly_same'].any()
def test_check_mostly_same_good_df():
# verifies good data passes the mostly same check
assert not bf.check_mostly_same(good).loc[:, 'mostly_same'].any(axis=0)
def test_check_all_same_bad_ser():
# verifies that the all same check finds rows with all the same value
fail = pd.DataFrame.from_dict({'all_same': (True,)})
assert fail.equals(bf.check_all_same(bad_same1['b1']))
def test_check_all_same_bad_df():
# verifies that the all same check finds rows with all the same value
fail = pd.DataFrame.from_dict({'column': ('b1', 'b2'), 'all_same': (True, False)})
assert fail.equals(bf.check_all_same(bad_same1))