Errors in Ungraded Lab M2_UGL_1

Course Q&A Agentic AI
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1

I am experiencing an issue with the Ungraded lab, specifically with Chart Generation.

Every time I run it, I’ve got the following issue.

TypeError Traceback (most recent call last)
Cell In[5], line 7
5 utils.print_html(initial_code, title=“Extracted Code to Execute”)
6 exec_globals = {“df”: df}
----> 7 exec(initial_code, exec_globals)
9 # If code run successfully, the file chart_v1.png should have been generated
10 utils.print_html(
11 content=“chart_v1.png”,
12 title=“Generated Chart (V1)”,
13 is_image=True
14 )

File :5

File /usr/local/lib/python3.11/site-packages/pandas/core/ops/common.py:76, in _unpack_zerodim_and_defer..new_method(self, other)
72 return NotImplemented
74 other = item_from_zerodim(other)
—> 76 return method(self, other)

File /usr/local/lib/python3.11/site-packages/pandas/core/arraylike.py:186, in OpsMixin._add_(self, other)
98 @unpack_zerodim_and_defer(“_add_”)
99 def _add_(self, other):
100 “”"
101 Get Addition of DataFrame and other, column-wise.
102
(…)
184 moose 3.0 NaN
185 “”"
→ 186 return self._arith_method(other, operator.add)

File /usr/local/lib/python3.11/site-packages/pandas/core/series.py:6154, in Series._arith_method(self, other, op)
6152 def _arith_method(self, other, op):
6153 self, other = self._align_for_op(other)
→ 6154 return base.IndexOpsMixin._arith_method(self, other, op)

File /usr/local/lib/python3.11/site-packages/pandas/core/base.py:1391, in IndexOpsMixin._arith_method(self, other, op)
1388 rvalues = np.arange(rvalues.start, rvalues.stop, rvalues.step)
1390 with np.errstate(all=“ignore”):
→ 1391 result = ops.arithmetic_op(lvalues, rvalues, op)
1393 return self._construct_result(result, name=res_name)

File /usr/local/lib/python3.11/site-packages/pandas/core/ops/array_ops.py:273, in arithmetic_op(left, right, op)
260 # NB: We assume that extract_array and ensure_wrapped_if_datetimelike
261 # have already been called on `left` and `right`,
262 # and `maybe_prepare_scalar_for_op` has already been called on `right`
263 # We need to special-case datetime64/timedelta64 dtypes (e.g. because numpy
264 # casts integer dtypes to timedelta64 when operating with timedelta64 - GH#22390)
266 if (
267 should_extension_dispatch(left, right)
268 or isinstance(right, (Timedelta, BaseOffset, Timestamp))
(…)
271 # Timedelta/Timestamp and other custom scalars are included in the check
272 # because numexpr will fail on it, see GH#31457
→ 273 res_values = op(left, right)
274 else:
275 # TODO we should handle EAs consistently and move this check before the if/else
276 # ( API: disallow div/floordiv/pow operators for BooleanArray ? · Issue #41165 · pandas-dev/pandas · GitHub )
277 # error: Argument 2 to “_bool_arith_check” has incompatible type
278 # “Union[ExtensionArray, ndarray[Any, Any]]”; expected “ndarray[Any, Any]”
279 _bool_arith_check(op, left, right) # type: ignore[arg-type]

TypeError: unsupported operand type(s) for +: ‘DatetimeArray’ and ‘str’

Just for info, I have clicked ‘Restore Original version,’ and I can see the Original Version at the top left, so I guess the action was applied.
But the error persists.

BTW, I’ve it running locally using Ollama, but I wanted to compare the results.

– Javier

2

I ran into the same error. I have added the following to the prompt – “date (M/D/YY) (convert to string)” and that fixed the issue for me

1 Like
3

@jvelilla, thanks for reporting! This seems to be a easy coding error for the ‘gpt-4o-mini’ model to make. We’ve had problems with it before and the staff developers have made some changes to try to discourage it from doing this, but looks like it can still happen. I’ll report to staff and see if they can come up with a more robust way to encourage the model.

In the meantime, you can try your hand at making the prompt for Step 1 more robust, as @lrajeshsharmasn did. I tried @lrajeshsharmasn’s suggested change, and it worked for me, too. :clap: Or, you can try a different model, like “gpt-4.1-mini” for Step 1.

1 Like
4

@Wendy Thanks for your answer. I tried the suggested update reported by (@lrajeshsharmasn), and it works fine.

– Javier

2 Likes
5

Hi, Have you all tried to change models in ‘Try and Workflow’ ? I find it works when using ‘gpt-4.1-mini’ model, and ‘gpt-4.1’ to get fine result, but it goes error when using ‘claude-3-7-sonnet’ and ‘gpt-3.5-turbo‘. BTW, I have updated ‘date(M/D/Y)(convert to string)‘.

6

Thanks, @Yiyi ,

Yes, we’ve reported to staff that those models don’t work and the lab should be updated with different suggested models. It’s on their list to fix.