def test_ignore_indices_invalid(self, df1, value):
'''
When other value than 0 or 1 in ignore_indices, raise ValueError
'''
with pytest.raises(ValueError) as ex:
df_.equals(df1, df1, ignore_indices=value)
assert 'ignore_indices' in str(ex.value)
assert str(value) in str(ex.value)
def assert_(self, df1, df2, expected, **equals_args):
dfs = [df1, df2]
dfs_orig = [df.copy() for df in dfs]
actual = df_.equals(*dfs, _return_reason=True, **equals_args)
for df, df_orig in zip(dfs, dfs_orig): # input unchanged
assert df.equals(df_orig)
assert df.index.name == df_orig.index.name
assert df.columns.name == df_orig.columns.name
assert actual[0] == expected, actual[1]
def _equals(series1, series2, ignore_order, ignore_index, all_close):
if not ignore_index:
if series1.name != series2.name:
return False, 'Series name differs: {!r} != {!r}'.format(series1.name, series2.name)
return df_.equals(
series1.to_frame(),
series2.to_frame(),
ignore_order={0} if ignore_order else set(),
ignore_indices={0} if ignore_index else set(),
all_close=all_close,
_return_reason=True #TODO the reasons will be about dataframes, this is confusing. May need to copy paste after all and do the analog for a series. Or add an internal param so it outputs series info (pick the former option)
)
def test_return_reason(self, df1):
'''
When not return_reason, return only a bool
'''
assert df_.equals(df1, df1)
