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_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)
